Hi, I'm Pranto Das
I Build What Doesn't Exist Yet
From founding an SRE department to solo-engineering production systems — I turn undefined problems into scalable solutions.
I build capabilities that didn't exist before—from founding an SRE department to solo-engineering production systems. I turn undefined problems into scalable solutions that drive real business impact.
- Build & scale teams from zero
- Extreme performance optimization
- Full-stack, cloud & SRE expertise
- Solo-built live production systems
I build capabilities that didn't exist before—from founding an SRE department to solo-engineering production systems. I turn undefined problems into scalable solutions that drive real business impact.
- Build & scale teams from zero
- Extreme performance optimization
- Full-stack, cloud & SRE expertise
- Solo-built live production systems
Career & Projects
Professional experience and key projects — from building SRE departments to engineering production systems.
Projects
Haji Tracker — Solo Consulting Engineering
Solo Engineer (Consulting)Live production GPS tracking platform solving real safety and coordination challenges during Hajj pilgrimage. Built end-to-end as solo engineer: architecture, infrastructure, backend APIs, mobile apps, web portal, and geospatial processing pipelines. Proves independent full-stack delivery capability while maintaining full-time role.
.NET 9 
React Native 
TypeScript 
PostgreSQL +10Key Achievements
- Live Production System: Real pilgrims using platform during Hajj season at https://www.hajjemabror.com/
- Solo Full-Stack Build: Architecture, infrastructure, backend (.NET 9 API + MVC), mobile (React Native for Android/iOS), web portal, geospatial pipeline—100% solo
- Real-Time Safety & Ritual Tracking: Families and organizers confirm pilgrim location, ritual completion (Tawaf, Sa'i, Arafat, Jamarat)
- GPS Ingestion Pipeline: Smoothing, deduplication, interpolation, geo classification engine processing continuous device streams
- Multi-Surface Delivery: React Native (single codebase for Android/iOS) + .NET 9 Web API + .NET MVC web portal
- Infrastructure Automation: Ansible-driven provisioning, deployment orchestration, zero-manual steps
- Client Cost Reduction: Single-engineer delivery accelerated time-to-market and reduced development costs
- Entrepreneurial Proof: Part-time consulting engagement (weekends/leaves/holidays) demonstrates side income capability
Technical Challenges
- Geospatial Intelligence: Point-in-polygon geo checks, holy site boundaries (Masjid al-Haram, Mina, Arafat, Muzdalifah, Jamarat), ritual state machine
- Resilient Ingestion: Handling intermittent desert connectivity, GPS jitter, variable device telemetry, lag monitoring
- Watch Protocol Integration: Custom message schema (deviceId, lat/lon, battery, signal quality), heartbeat signaling
- Security & Reliability: Token auth, signed payloads to prevent spoofing, rate limiting, idempotent endpoints
- Data Layer Complexity: Hybrid PostgreSQL (primary + geospatial indexing) and MS SQL (legacy sync layer)
- Multi-Tenant Architecture: Foundation for future agency onboarding and scaling
Full Tech Stack
.NET 9 React Native TypeScript PostgreSQL 
MS SQL 
Java (Tracker Server) 
Ansible Geo Algorithms GPS/Geofencing Watch Protocol Message Queuing Android iOS 
IaC PlanetDDS — Enterprise SRE Implementation
Site Reliability Engineer (SRE)Built comprehensive SRE program for PlanetDDS platform managing 4 dental practice management products serving thousands of practices across North America. Established production-grade monitoring, incident response, and automation framework across multi-cloud infrastructure (Azure, GCP, AWS). Foundation for company-wide SRE capability expansion.
Azure 
GCP 
AWS 
Datadog +10Key Achievements
- 40% Alert Accuracy Improvement: Built comprehensive Datadog monitoring framework reducing false positives and alert fatigue
- 60% MTTR Reduction: Established on-call protocols, incident response playbooks, and RCA processes
- Multi-Product Coverage: Standardized SRE practices across 4 PlanetDDS products (Denticon, Apteryx, Cloud 9, Legwork)
- Runbook Standardization: Created templates used across 15+ services enabling faster incident resolution
- Datadog APM Integration: Proactive performance monitoring for distributed application stack
- Infrastructure as Code: Implemented Bicep/Terraform/Ansible for repeatable, version-controlled infrastructure
- SRE Foundation: Established practices, tooling, and culture that enabled department-wide SRE expansion
Technical Challenges
- Multi-Cloud Complexity: Standardized monitoring and automation across Azure (primary), GCP, and AWS
- Legacy & Modern Coexistence: Unified observability for decades-old monoliths and modern microservices
- Alert Fatigue Prevention: Balanced comprehensive coverage with actionable alerting to avoid on-call burnout
- Distributed Team Coordination: Incident response across multiple product teams and time zones
- Zero Documentation: Learned SRE discipline from scratch while building production-grade systems
- Cultural Shift: Educated engineering teams on SRE value, reliability engineering, and blameless culture
Full Tech Stack
Azure GCP AWS Datadog 
Terraform 
Bicep Ansible 
Azure DevOps 
Python .NET 
PowerShell Bash 
Docker 
Kubernetes Denticon — Cloud Practice Management Platform
Software Engineer → Senior Software Engineer → Point of ContactPlanet DDS flagship cloud-based dental practice management software serving millions of patient records and thousands of practices across North America. Operated as Point of Contact leading 3-7 member sub-teams with minimal technical lead guidance—attending critical client meetings, conducting code reviews, making autonomous technical decisions. Delivered extreme performance optimization (96.67%), technology migrations (Express.js→.NET 8), and zero-downtime cloud adoption across 2+ year tenure in ~40-person cross-functional team.
C# .NET 8 ASP.NET Core EF Core +11Key Achievements
- 96.67% Performance Improvement: Patient Communication workflow 10 minutes → 20 seconds via eliminating N+1 queries, strategic indexes, EF Core refactoring (no-tracking, compiled queries, batch processing)
- 93.3% Azure Functions Optimization: Execution time 15+ minutes → under 10 seconds via batch calls and EF Core tuning, unlocking downstream workflows
- 300% Throughput Increase: Led Express.js (Node.js) → .NET 8 migration for marketplace component—better maintainability, modern async patterns, clean architecture
- Zero-Downtime Cloud Migration: On-prem → Azure with Traffic Manager + App Services, phased rollout (parallel run, gradual traffic shift, validation, cutover)
- Security + Performance: Parameterized dynamic SQL preventing injection while improving query plan caching—dual win
- Point of Contact Leadership: Led 3-7 member sub-teams, attended critical client meetings, conducted code reviews, operated independently with minimal guidance
- 350+ Jira Tickets Resolved: 99.2% on-time delivery maintaining high velocity despite context switches between sub-teams
- Fast Ticket Delivery Model: Consistently 4-5 tickets/day during high-velocity sprints without sacrificing quality
- Adaptability: Transitioned between sub-teams as needed, maintained delivery excellence across different product areas
Technical Challenges
- Leading Without Authority: Point of Contact role required making technical decisions and representing team to clients without formal management title
- Performance Archaeology: Diagnosed bottlenecks in legacy stored procedures with complex joins, suboptimal execution plans, missing indexes—no documentation
- Zero-Downtime Constraint: Deployed critical performance fixes and cloud migrations without service interruptions to production serving millions
- Technology Migration Risk: Express.js → .NET 8 while maintaining feature parity, backwards compatibility, and production stability
- EF Core at Scale: Managed complex LINQ queries, dynamic filtering, query optimization for high-volume workloads
- Database Optimization Balance: Tuned queries for extreme speed gains without sacrificing maintainability or introducing regressions
- Stakeholder Pressure: Delivered under tight deadlines with cross-functional dependencies (product, QA, DevOps) and production reliability constraints
- Context Switching: Maintained high velocity while transitioning between different sub-teams and product areas
Full Tech Stack
C# .NET 8 ASP.NET Core EF Core SQL Server T-SQL 
Angular TypeScript 
jQuery Azure Azure Functions Azure Traffic Manager Stored Procedures Database Indexing Performance Profiling NotificationServer Microservice — Event-Driven Messaging
Software EngineerBuilt event-driven microservice handling SMS/email communications via RabbitMQ and Twilio. Decoupled notification logic from core application workflows, enabling reliable asynchronous delivery with retry/backoff for transient failures. First production exposure to distributed systems and message queue patterns.
C# .NET 
RabbitMQ 
Twilio +5Key Achievements
- Message Queuing Introduction: Decoupled services with RabbitMQ for reliable asynchronous communication
- Resilient SMS Delivery: Implemented retry/backoff for transient Twilio API failures, ensuring delivery guarantees
- Developer Velocity: Standardized notification patterns, reducing boilerplate and integration time for other teams
- Operational Dashboards: Built message health monitoring, queue depth alerts, delivery success metrics
- First Distributed Systems Exposure: Gained foundational experience with async messaging, idempotency, and at-least-once delivery semantics
Technical Challenges
- Reliable Messaging Patterns: Designed idempotent handlers and retry strategies for critical notifications
- Transient Failure Handling: Tuned backoff parameters to balance delivery speed with API rate limits
- Queue Health Monitoring: Established metrics for queue depth, consumer lag, and message delivery success rates
Full Tech Stack
C# .NET RabbitMQ Twilio MS SQL Docker Microservices Message Queuing Retry Patterns Experience
Principal Software Engineer (AI-Augmented Engineering)
Enosis SolutionsPivoted into deep AI-assisted software engineering—automating every step of the SDLC with LLM coding agents (Claude Code, Cursor, GitHub Copilot, Antigravity, Gemini CLI). Spec-driven development: write specs, let agents implement. Building and shipping products faster through AI agent orchestration, custom automation workflows, prompt engineering, and context engineering with MCP servers.
Key Achievements
Tech Stack
TypeScript Python .NET Principal Software Engineer (SRE) — Team Lead
Enosis SolutionsPromoted to scale proven SRE capability into full department. Grew from solo IC to team lead—trained 4 SREs, automated 350+ Azure resources (Datadog/Ansible), recruited Manager for succession. Established operating model (SLOs/SLIs, runbooks, on-call protocols) enabling external client revenue. Clean transition validated repeatable "build → scale → handover" pattern.
Key Achievements
- New Revenue Stream: Built SRE function from scratch—company now offers SRE services to external clients
- Team Development: Trained 4 SREs in reliability engineering mindset (SLOs/SLIs, incident response, blameless postmortems, on-call practices)
- Succession Planning: Recruited and onboarded SRE Manager, ensured clean handover and team autonomy
- Automation at Scale: Automated Datadog monitoring for 200+ App Services + 150+ Container Apps using Ansible
- Monitoring Transformation: Standardized tags, centralized logs, APM coverage across entire infrastructure fleet
- Service Reliability: Onboarded 20+ services with SLO/SLI definitions, monitoring setup, and runbook creation
- Portfolio Coverage: 350+ compute targets under comprehensive SRE management
- Operating Model: Established runbooks, ownership boundaries, and processes for sustainable operations
Tech Stack
Azure App Services Azure Container Apps Datadog Datadog APM Ansible Bicep Terraform Python .NET PowerShell Bash 
Azure CLI Azure DevOps Site Reliability Engineering IaC Senior Software Engineer (SRE)
Enosis SolutionsTransitioned from software engineering to SRE to build new capability. Mastered reliability discipline in 8 months: observability, incident management, on-call, blameless culture. Delivered measurable impact: 40% alert accuracy improvement, Datadog APM across 15+ teams, multi-cloud standardization (Azure, GCP, AWS). PlanetDDS proved the concept. Promoted to Principal to scale into full department.
Key Achievements
- SRE Fundamentals: Mastered observability, incident management, on-call rotations, blameless culture, and reliability engineering in 8 months
- Alert Accuracy: Improved alert accuracy by 40% through monitoring standardization and noise reduction
- Foundation Building: Established on-call protocols and RCA practices that enabled future team scaling
- APM Integration: Deployed Datadog APM giving 15+ development teams application performance visibility
- Infrastructure as Code: Implemented Bicep and Ansible for repeatable, scalable infrastructure automation
- Multi-Cloud Operations: Standardized SRE practices across Azure (primary), GCP, and AWS environments
- Promotion Earned: Demonstrated SRE capability, promoted to Principal to build and scale entire function
Tech Stack
Azure GCP AWS Datadog Datadog APM Bicep Ansible Azure DevOps Python .NET PowerShell Azure CLI Site Reliability Engineering IaC 
Observability Senior Software Engineer
Enosis SolutionsPeak individual contributor on Denticon (dental practice management platform, ~40-person cross-functional team). Operated as Point of Contact for Planet DDS sub-teams (3-7 members), attended critical client meetings, conducted code reviews, made autonomous technical decisions. Led zero-downtime cloud migration (on-prem → Azure), 96.67% performance wins, and Node.js → .NET 8 migration. Delivered 350+ tickets with 99.2% on-time rate.
Key Achievements
- 96.67% Performance Win: Patient Communication job optimized from 10 minutes → 20 seconds via query rewrites and index tuning
- 93.3% Azure Functions Optimization: Execution times from 15+ minutes → under 10 seconds via batch calls and EF Core tuning
- 300% Throughput Increase: Led Express.js → .NET 8 migration for marketplace component
- Zero-Downtime Cloud Migration: On-prem → Azure with Traffic Manager—phased rollout with parallel run and gradual traffic shift
- Point of Contact Leadership: Led 3-7 member sub-teams, attended client meetings, conducted code reviews independently
- High-Volume Delivery: 350+ Jira tickets (features, performance, cloud migrations, bug fixes) with 99.2% on-time delivery
- Velocity Champion: Consistently delivered 4-5 tickets/day during high-velocity sprints without quality compromise
Tech Stack
C# .NET 8 ASP.NET Core EF Core SQL Server T-SQL Angular TypeScript jQuery Azure Azure App Services Azure Traffic Manager Azure Functions Performance Profiling Microservices Software Engineer
Enosis SolutionsFirst professional role post-university. Completed intensive 1.5-month bootcamp (HTML, CSS, JavaScript, C#, LINQ, .NET Core, SQL). Operated in production environment on Denticon platform—worked with legacy codebases, debugged issues without documentation, made immediate contributions. Built NotificationServer microservice using RabbitMQ and Twilio. Recognized by project leadership for outstanding performance.
Key Achievements
- Fast Ticket Model: Consistently resolved 4-5 Jira tickets daily—became known for speed without quality compromise
- 80% Page Load Reduction: Introduced service-level caching and reorganized resource loading (lazy loading, code splitting)
- Bug Resolution: Debugged production issues by reading code, tracing execution, reproducing locally—no handoffs needed
- Complex Analysis: Resolved 20+ complex bug tickets under tight deadlines with no prior context
- NotificationServer: Built microservice using RabbitMQ and Twilio—first distributed systems experience at scale
- High Volume: 190+ Jira tickets delivered, 3,000+ hours logged across full-stack tasks
- Recognition: Commended by Denticon Web leadership for outstanding performance
Tech Stack
C# .NET Core ASP.NET Core ASP.NET MVC Entity Framework Core SQL Server T-SQL Angular TypeScript 
JavaScript jQuery 
HTML 
CSS RabbitMQ Twilio Microservices Performance Optimization Skills & Certifications
Technical skills spanning department building, cloud architecture, performance optimization, and full-stack development—backed by professional certifications and proven through real-world delivery.
Certifications & Professional Achievements
Microsoft Certified: Azure Developer Associate
MicrosoftAug 2025Expert-level certification in designing, building, and maintaining Azure cloud applications covering compute, storage, security, and monitoring.
SKF100: Understanding the OWASP® Top 10 Security Threats
The Linux FoundationNov 2024Professional certification in web application security covering critical vulnerabilities including injection attacks, XSS, and broken authentication.
Microsoft Certified: Azure Fundamentals
MicrosoftSep 2023Foundational certification in Azure cloud services, architecture, security, and governance with understanding of IaaS, PaaS, and SaaS models.
Bachelor of Science in Computer Science and Engineering
Daffodil International UniversityAug 20204-year comprehensive program in software engineering, algorithms, data structures, and computer science fundamentals.
SQL (Advanced) Certificate
HackerRankDec 2022Advanced SQL expertise in complex queries, window functions, CTEs, stored procedures, and performance optimization.
Certificate Of Achievement at The 2019 ICPC Asia Dhaka Regional Contest
ICPC - International Collegiate Programming ContestJan 2020Ranked 22nd among 190 teams from universities across Bangladesh including BUET, Dhaka University, SUST, and others.
GitHub Copilot
Claude Code
Cursor
Gemini CLI
Prompt Engineering
Context Engineering
MCP Servers
Spec-Driven Development
AI Agent Orchestration
What I Build
Capabilities that create lasting value — from founding departments to solo-engineering production systems.
Build Capabilities from Zero
Systematic capability building, charter to handover
I don't just join projects—I build entire capabilities that generate new value. Proven with SRE (now generating service revenue), now applying the same systematic approach to AI-augmented engineering. You get systematic capability-building: charter, tech stack, team training, operating model, clean handover.
- ✓ Department Creation: Charter definition, tech stack selection, service catalog design
- ✓ Team Building: Hire, train, and mentor engineers (trained 4 SREs, onboarded Manager)
- ✓ Operating Model: Runbooks, ownership boundaries, processes that outlast me
- ✓ Business Impact: Enable new revenue streams (SRE now offered as service)
- Real-world example: Built SRE function in 9 months → company now sells SRE services to clients
Extreme Performance Optimization
Find the hidden 96.67% improvements
I find the hidden 96.67% improvements others miss. Deep database optimization, query tuning, architectural refactoring, caching strategies—whatever it takes to transform unusable workflows into instant results. Zero downtime, maximum impact.
- ✓ Database Optimization: Eliminate N+1 queries, add strategic indexes, optimize EF Core
- ✓ Application Performance: Batch APIs, async patterns, compiled queries, no-tracking
- ✓ Frontend Speed: Angular caching, lazy loading, code splitting (80% load time reduction)
- ✓ Migration Excellence: Zero-downtime Azure migrations serving millions of users
- Real-world example: Patient Communication: 10 minutes → 20 seconds (96.67% improvement)
Site Reliability Engineering (Production-Grade)
350+ resources automated, boringly reliable
Build monitoring, automation, and incident response frameworks that scale. From manual chaos to automated reliability covering 350+ compute targets. Datadog expert, IaC specialist (Bicep/Terraform/Ansible), on-call veteran. I make systems boringly reliable.
- ✓ Comprehensive Monitoring: Datadog APM, logs, synthetics—standardized across entire fleet
- ✓ Automation at Scale: 350+ Azure resources automated (App Services, Container Apps)
- ✓ Incident Response: On-call protocols, RCA processes, blameless postmortems
- ✓ Infrastructure as Code: Bicep, Terraform, Ansible for repeatable, version-controlled infra
- Real-world example: Automated 200+ App Services + 150+ Container Apps with Datadog
Full-Stack Development (Modern .NET + Angular)
Modern .NET + Angular, database to UI
Build modern, high-performance web applications with clean architecture and maintainable code. .NET 8 backends, Angular frontends, SQL optimization, microservices. Point of Contact experience—I can own entire features from database to UI.
- ✓ Backend Excellence: .NET 8, ASP.NET Core, EF Core, async/await patterns
- ✓ Frontend Modern: Angular 17+, TypeScript, Angular Material, RxJS
- ✓ Database Mastery: SQL Server optimization, dynamic queries, stored procedures
- ✓ Architecture: Microservices, Modular Monoliths, Clean Architecture, DDD
- Real-world example: Led Express.js → .NET 8 migration with 300% throughput improvement
AI-Augmented Software Engineering
Spec-driven development with LLM agents
Automating the full SDLC with LLM coding agents (Claude Code, Cursor, GitHub Copilot, Gemini CLI, Antigravity). Spec-driven development: write specs, let agents implement. Custom automation workflows, prompt engineering, context engineering with MCP servers.
- ✓ AI Coding Agents: Claude Code, Cursor, GitHub Copilot, Gemini CLI, Antigravity
- ✓ Spec-Driven Development: Write specs, let agents implement end-to-end
- ✓ Context Engineering: MCP servers, structured prompts, agent orchestration
- ✓ SDLC Automation: From requirements to deployment with AI assistance
- Real-world example: Building and shipping products faster through AI agent orchestration and custom workflows
Solo Consulting & End-to-End System Delivery
Full ownership, architecture to deployment
Independent consulting engineer delivering production systems solo. Full ownership from architecture to deployment—mobile apps, backend services, infra automation, geospatial processing. Proven with Haji Tracker (live system built on weekends while excelling in full-time role).
- ✓ Solo Full-Stack: React Native mobile + .NET 9 backend + Ansible infra automation
- ✓ Geospatial & GPS: Real-time ingestion pipelines, geo classification, state machines
- ✓ Client Engagement: Weekend/after-hours delivery model, cost-effective builds
- ✓ Multi-Surface: Android, iOS, Web API, MVC portals, hybrid data layers
- Real-world example: Haji Tracker: Solo-built GPS tracking platform (React Native + .NET 9 + PostgreSQL) live in production