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Experience

6+ years building AI platforms and distributed systems across fintech, AI training, and GenAI startups. From team lead to senior engineer, focused on production-grade systems that scale.

6+ Years
4 Companies
GenAI · Fintech · SaaS

Professional Timeline

Progression from intern to senior engineer, building increasingly complex systems and leading high-impact projects.

Senior Software Developer → Tech Lead

Attri.ai

December 2024 - Present

  • Architected and deployed production multi-agent platform (Agentify) with 15+ specialized agents including Orchestrator, PRD Agent, Solution Architect, UI Designer, Coder Agent, Diff Agent, and Discovery Agent - serving workloads with 99.9% uptime and zero-downtime deployments
  • Led complete pricing infrastructure revamp through 7 major iterations, implementing Stripe-based seat billing, credit system, workspace-level subscriptions, and promotional codes - supporting multi-tenant SaaS with billed/non-billed user management
  • Engineered secure code execution using E2B microVMs with Git CodeSpace integration via MCP (Model Context Protocol), enabling collaborative coding with automated Vercel deployment and CNAME mapping for zero-downtime releases using Azure slots
  • Implemented real-time collaboration with Azure WebPubSub migration, session sharing with 5-user limit, workspace invite system, and Socket.io architecture handling concurrent multi-agent workflows with sub-100ms latency
  • Built comprehensive observability with Datadog APM, Sentry error tracking, PostHog analytics, and ClickUp integration for error notifications - reducing incident response from hours to minutes with distributed tracing and custom metrics
  • Optimized PostgreSQL performance solving connection pooling issues, idle timeouts, SSL handshake errors - migrated from Supabase ORM to native PostgreSQL with transaction pooler, implementing pgvector for semantic search and RAG pipelines
  • Integrated 10+ LLM models (GPT-4/4.1/5, o1/o3/o4-mini, Claude Opus 4, Sonnet 4.5, Azure OpenAI) with intelligent fallback, retry mechanisms, token tracking, and cost optimization reducing API costs by ~30%
  • Designed diff-based UI editing system, React Flow workflow diagrams, template generation pipeline with automated screenshots, and multi-file upload with embeddings - enabling dynamic agent creation and business assessments
  • Implemented enterprise integrations: CustomerIO for email automation, HelpScout for support tickets, Context7 MCP for company context, Composio for third-party tools, and implementation partner system
  • Hardened security through VAPT compliance fixes, implemented pre-commit hooks with MyPy type checking, Dependabot for dependency management, and established CI/CD pipelines with health checks across dev/QA/staging/prod environments
Python
FastAPI
MetaGPT
AutoGen
Claude Sonnet 4.5
GPT-5
o1/o3
PostgreSQL
pgvector
Azure WebPubSub
E2B
MCP
Stripe
Datadog
Sentry
PostHog
Vercel
Azure App Service
Docker
Gunicorn
Redis
Supabase
CustomerIO
HelpScout
Context7
Composio
React Flow
MyPy

SDE III (Software Development Engineer III)

Zenarate

December 2023 - November 2024

  • Integrated GPT-4 and custom LLMs for AI-driven call simulations and training scenarios, improving training effectiveness by 40%
  • Designed and implemented prompt engineering framework with A/B testing reducing hallucinations by 60% in production
  • Built automated reporting system replacing manual QA processes, reducing reporting time from ~72 hours to under 10 minutes
  • Developed ML-based performance prediction models achieving 85% accuracy for trainee success forecasting
  • Led migration of monolithic application to microservices architecture improving deployment frequency by 5x
  • Implemented caching strategies and query optimizations reducing average API response time by 65%
Python
GPT-4
Prompt Engineering
Java
Spring Boot
MySQL
Redis
AWS
Microservices
Docker
Kubernetes

Senior Software Developer → Team Lead

MyShubhLife (FinTech)

December 2020 - November 2023

  • Led team of 4 developers building partner onboarding automation platform reducing onboarding time from 2 weeks to 2 days
  • Architected NER (Named Entity Recognition) and OCR pipeline processing 10k+ documents daily for KYC automation with 92% accuracy
  • Built Heimdall monitoring system providing real-time visibility into partner integrations and system health across 50+ endpoints
  • Developed Kautilya LMS (Learning Management System) serving 500+ users with course management, progress tracking, and certification
  • Implemented partner API gateway with rate limiting, authentication, and request validation handling 1M+ requests/month
  • Reduced manual data entry by 85% through intelligent document processing and automated workflows
  • Established CI/CD pipelines and automated testing improving deployment reliability from 70% to 98%
Python
Django
FastAPI
PostgreSQL
MongoDB
Celery
Redis
OCR
NER
AWS
Docker
React

Software Developer

IDRONECT Technologies

June 2020 - November 2020

  • Developed real-time collaborative testing platform with WebRTC video streaming supporting 100+ concurrent sessions
  • Implemented screen sharing and remote control features with sub-200ms latency for distributed teams
  • Built test case management system with real-time synchronization using Socket.io and Redis pub/sub
  • Designed scalable architecture on AWS handling peak loads of 500+ concurrent users with auto-scaling
  • Created comprehensive test automation framework reducing regression testing time by 70%
Node.js
React
WebRTC
Socket.io
MongoDB
Redis
AWS
Docker
Selenium

Software Development Intern

Actonate Solution Private Limited

January 2020 - July 2020

  • Built automated testing framework for Zoho CRM reducing manual testing effort by 60%
  • Developed custom Chrome extension for enhanced CRM workflow automation improving user productivity
  • Created data migration scripts handling transfer of 100k+ records with zero data loss
  • Implemented REST API integrations connecting CRM with third-party services
  • Participated in code reviews and learned enterprise software development best practices
JavaScript
Python
REST APIs
Chrome Extensions
Testing
SQL
Git

Tech Ecosystem

Technologies, frameworks, and tools I work with across different domains.

Languages & Core

Python
Java
TypeScript
JavaScript
SQL
Bash

AI/ML & GenAI

Claude Sonnet 4.5
Claude Opus 4
GPT-5
GPT-4/4.1
o1/o3/o4-mini
MetaGPT
AutoGen
LangChain
OpenAI API
Azure OpenAI
HuggingFace
PyTorch
TensorFlow
Scikit-learn
MLflow
CLIP

Cloud & Infrastructure

AWS (EC2, Lambda, RDS, S3, ECS)
Azure (App Service, Functions, WebPubSub)
Vercel
Docker
Kubernetes
Terraform
Supabase
Datadog
CloudWatch
Gunicorn

Databases & Storage

PostgreSQL
pgvector
MongoDB
Redis
MySQL
Supabase
DynamoDB
Elasticsearch
mem0

Frameworks & Tools

FastAPI
Flask
Django
Spring Boot
Next.js
React
React Flow
Node.js
Express
Celery
Socket.io

DevOps & SaaS Tools

Git
GitHub Actions
CI/CD
MyPy
Pre-commit
Dependabot
Stripe
Sentry
PostHog
CustomerIO
HelpScout
ClickUp
E2B
MCP
Composio
Context7

How I Work

My approach to engineering, collaboration, and building reliable systems.

Collaboration & Communication

I believe in clear, proactive communication and comprehensive documentation. Regular design reviews, pair programming, and knowledge sharing sessions are essential for building great systems and growing teams.

I actively participate in technical discussions, present architecture proposals, and ensure alignment across engineering, product, and stakeholders.

Code Quality & Best Practices

Focus on maintainability through comprehensive testing (unit, integration, e2e), thoughtful abstractions, and clear naming conventions. Every line of code is an investment in future velocity.

I advocate for automated testing, continuous integration, code reviews, and refactoring cycles to keep technical debt manageable and systems evolvable.

Infrastructure & Observability

Proactive monitoring, cost optimization, and scalable architecture are non-negotiable. I design systems to be observable from day one with proper logging, metrics, tracing, and alerting.

I think about failure modes, implement circuit breakers, retry logic with exponential backoff, and design for graceful degradation to ensure reliability.

Key Achievements

Highlights and quantifiable impact across roles.

793

Production commits across 3 repositories at Attri.ai

15+

Specialized AI agents designed and deployed in production

7

Complete iterations of pricing infrastructure revamp

99.9%

Platform uptime with zero-downtime deployment strategy

10+

LLM models integrated with fallback and cost optimization

~70%

Reduction in manual work through AI agent automation

10k+

Documents processed daily by OCR/NER pipeline

5x

Improvement in deployment frequency via CI/CD automation

Looking for a Senior Engineer?

I'm open to opportunities in GenAI platforms, distributed systems, and AI infrastructure. Let's discuss how I can contribute to your team.