I build scalable backend systems and production-grade AI applications.
With 7+ years of software engineering experience, I work across backend architecture, distributed systems, event-driven platforms, and AI engineering. I've worked on large-scale platforms including DIKSHA, the Government of India's national digital education infrastructure serving 22M+ registered users.
Currently, my work sits at the intersection of:
Backend Engineering × AI × System Architecture
Designing and building reliable backend platforms using:
Node.js · Python · FastAPI · Microservices · REST APIs · Kafka · Redis
Focused on scalability, performance, asynchronous processing, and event-driven architecture.
Building practical AI systems using:
LLMs · RAG · Semantic Search · Hybrid Search · Vector Databases · LangChain · Multi-Agent Systems
Experienced with OpenAI, Anthropic Claude, Google Gemini, and OpenRouter.
I enjoy taking AI capabilities from POC → architecture → production, with a focus on reliability, scalability, evaluation, and maintainability.
Government of India · 22M+ registered users
Owned backend services supporting surveys and program management on a national-scale education platform.
Worked on high-traffic services, Redis-based performance optimization, and asynchronous Kafka-based processing to reduce pressure on primary data stores.
Node.js Express.js MongoDB Redis Kafka
An open-source AI-powered knowledge platform built for Shikshalokam.
Worked on RAG, semantic retrieval, hybrid search, vector databases, embeddings, and LLM integrations to build intelligent knowledge discovery capabilities.
Integrated multiple LLM providers including OpenAI, Claude, and Gemini.
Python FastAPI Qdrant RAG LLMs LangChain
Built AI-powered workflows for validating evidence from images and documents.
Designed high-volume, parallel processing workflows using FastAPI, Celery, batch processing, and LLMs.
Python FastAPI Celery LLMs
Designed and scaled microservices supporting survey, observation, and entity-management workflows.
Built versioned APIs and event-driven pipelines to move long-running workloads away from synchronous request paths.
Node.js PostgreSQL MongoDB Kafka Redis
Node.js · Python · Express.js · FastAPI · REST APIs · Microservices
RAG · LLMs · LangChain · Embeddings · Semantic Search
Hybrid Search · Qdrant · Prompt Engineering · LLM Evaluation
Multi-Agent Systems · MCP · Guardrails
PostgreSQL · MongoDB · MySQL · Redis · Qdrant · Elasticsearch
AWS · Docker · Jenkins · GitHub Actions · Nginx · Vault · Grafana
Kafka · RabbitMQ · BullMQ · Celery
As a Technical Lead, I work beyond implementation — focusing on architecture, engineering quality, and team growth.
- 🏗️ Architecture & technical design
- 🔍 Architecture and code reviews
- 👥 Mentoring engineers
- 🎯 Technical decision making
- 🧪 Proofs of concept & technical exploration
- 🎤 Technical interviews
- 🚀 Production engineering
- ⚡ Performance optimization
I've conducted 20+ technical interviews and mentored 10+ engineers, while establishing backend engineering practices and leading architecture reviews.
I'm passionate about building and contributing to technology that creates real-world impact.
Mentor · C4GT
Guiding contributors working on real-world open-source projects, with a focus on system design and code quality.
5× Quarterly Trendsetter Award — Shikshalokam
Recognized for backend optimization and workflow efficiency.
People's Choice Award — Shikshalokam
Recognized for cross-team collaboration and successful product releases.
AI Engineering
├── Agentic AI
├── Multi-Agent Systems
├── LLM Applications
└── AI Evaluation
Backend Architecture
├── Distributed Systems
├── Event-Driven Architecture
├── Scalability
└── Performance Engineering
Build systems that are simple to understand, scalable to grow, and reliable enough for production.
I'm particularly interested in the space where strong backend engineering meets rapidly evolving AI capabilities.
Interested in Backend Engineering, AI, LLMs, System Architecture, Distributed Systems, or Agentic AI?
Let's connect.
