Professional Summary
High-Performance Backends & Applied AI
Backend engineering specialist focused on building event-driven architectures capable of handling 300+ events/sec, using FastAPI, Node.js, Redis, and WebSockets.
Comfortable owning the full AI product stack—from data ingestion and AST-aware vector retrieval (pgvector, Pinecone) to LLM serving and model deployment.
A 3× hackathon placer and national-level athlete, blending relentless discipline with a deep passion for scalable system design and reliable CI/CD pipelines.
Technical Skills
Languages
Frontend
Backend & Databases
DevOps & Tools
A small selection of recent projects
CI/CD Orchestration Platform
PipelineCI
High-performance DevOps orchestration platform utilizing Docker for isolated step execution.
- Engineered isolated execution environments using Docker containers with live log streaming to a dashboard via Fastify
- Implemented an asynchronous high-throughput queue powered by Redis Streams for complex multi-step pipelines
- Designed a scalable monorepo architecture using Turborepo with centralized Prisma multi-tenant models
Distributed Systems / DevTooling
8Byte
Real-time website uptime monitoring and alerting platform.
- Designed a queue-based monitoring architecture using Redis Streams and background workers for scalable website health checks
- Implemented idempotent job processing with PostgreSQL + Prisma to ensure fault tolerance and data consistency
- Built real-time status dashboard using Next.js and WebSockets with optimized polling & caching strategies
Full-Stack AI Search Engine
CodeBase Q&A with RAG
Production system for intelligent codebase search using semantic vector retrieval.
- Architected a production dual-pipeline RAG system integrating AST-aware code ingestion with tree-sitter
- Leveraged Voyage AI embeddings stored in pgvector for high-efficiency ANN searches to find codebase context
- Optimized precision utilizing HyDE expansion and Cohere reranking, streaming answers via a local Ollama LLM
High-Performance Social Backend
SnapStream API
Fully asynchronous high-performance backend optimized for rapid media delivery.
- Developed a fully asynchronous backend optimized for rapid media delivery utilizing FastAPI and async SQLite
- Engineered secure JWT authentication workflows with deep route-level granular control using fastapi-users
- Integrated ImageKit natively for bandwidth-optimized image uploading and global CDN delivery without bottlenecks
Healthcare RAG AI
Medical Assistant Chatbot
Privacy-focused Healthcare RAG pipeline allowing safe querying of diagnostic PDFs.
- Built a native interactive UI with Streamlit powered by a high-concurrency FastAPI data processing capability
- Engineered a safe local LLM inference environment using Llama-3.1 via Ollama to ensure complete data compliance
- Prevented LLM hallucination by vectorizing complex medical context into a Pinecone database using Google Gemini Embeddings
AI Workout Generator
GymGenie
Comprehensive AI-driven workout generation platform built with bleeding-edge web frameworks.
- Architected a scalable monolithic codebase utilizing Turborepo for shared configuration and robust component packaging
- Implemented real-time AI workout program generation leveraging the latest language models APIs
- Designed highly responsive user interface with modern Next.js best practices and Tailwind CSS layout paradigms
Experience & Education
My academic journey, leadership roles, and key achievements
Professional Experience
Full Stack Intern
Allatone — Noida, India
Nexus Inventory Manager
- Developed a full-stack inventory management system using Next.js 15, React 19, Node.js, and MongoDB, supporting 1,000+ inventory records with real-time updates.
- Designed Inventory, Sales, Purchase, and Reporting modules, reducing manual tracking effort by 40%.
- Built role-based dashboards and protected routes using backend route grouping and middleware.
- Containerized the application using Docker & Docker Compose for consistent deployments.
- Automated deployment via GitHub Actions CI/CD, reducing deployment time from 15 min to under 3 min.
- Deployed on AWS EC2 with Nginx as a reverse proxy, improving response time by ~30%.
- Managed production processes using PM2, ensuring 99.9% uptime and automatic restarts.
Software Developer Intern
CeoTech — Delhi, India
CEO Card — Premium Lifestyle & Membership Platform
- Built scalable frontend features for a premium membership platform used by 500+ active users.
- Implemented workflows for user onboarding, membership renewals, and physical card orders, reducing support requests by 25%.
- Developed modules for luxury hotel browsing, concierge requests, and rewards management.
- Improved application performance by 20% through component optimization and efficient state management.
- Collaborated with backend teams to integrate secure REST APIs and authentication flows.
Frontend Development Intern
Agnitio.AI — Noida, India
Agnitio.in: AI for All
- Built responsive and accessible UI components for AI-based products using React.js.
- Optimized layouts and component rendering, improving mobile usability scores by 35%.
- Collaborated with designers and backend engineers to deliver features within strict timelines.
Education
Bharati Vidyapeeth's College of Engineering
2021 – 2025B.Tech — CGPA: 7.5
New Delhi
The Vivekanand School
2020 – 2021Percentage: 80.0%
New Delhi
Achievements
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