Building reliable backend systems, distributed workflows, and AI-powered applications.
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🎓 B.Tech in Computer Science and Engineering (Core) at VIT Bhopal University — graduating in 2027.
💻 Focused on backend engineering, distributed systems, API development, and AI-powered applications.
🚀 Experienced in building asynchronous processing pipelines, reliable transaction systems, and AI-driven data ingestion platforms.
🛠️ Interested in understanding how software systems work internally, from database transactions and concurrency control to distributed task processing and API reliability.
🌱 Currently exploring advanced system design, distributed systems, AI agents, and cloud-native architectures.
May–July 2026
- Engineered asynchronous backend workflows using FastAPI, RabbitMQ, and Celery, improving background task throughput by 45%.
- Integrated Claude and OpenAI APIs using structured JSON schemas and defensive prompt engineering to improve output consistency.
- Built automated unit and integration testing suites using PyTest, achieving 90%+ code coverage across critical data-processing pipelines.
- Developed an AI-driven web crawling and data-ingestion pipeline using Crawl4AI and pgvector, processing and indexing 5,000+ URLs daily for semantic search.
- Containerized distributed services with Docker and implemented centralized diagnostic logging, reducing environment setup time by 50%.
A backend system built to understand and implement the core concepts behind reliable financial transaction processing.
Tech Stack: Python • FastAPI • PostgreSQL • Redis • JWT
- Designed REST APIs for balance transfers and transaction lifecycle management.
- Implemented idempotency keys to support safe retries and prevent duplicate transaction processing.
- Used atomic SQL transactions and database isolation to maintain data consistency.
- Implemented Redis distributed locks and database-level locking to manage concurrent operations and prevent race conditions.
- Focused on understanding transaction integrity, concurrency control, and failure handling through hands-on implementation.
A financial technology platform designed to help MSMEs access financing opportunities through data-driven credit assessment and AI assistance.
Tech Stack: Next.js • FastAPI • PostgreSQL • pgvector • LangChain • Gemini
- Built backend services supporting business, investor, and administrator workflows.
- Developed an explainable seven-factor credit-scoring engine using alternative financial indicators.
- Implemented a retrieval-augmented generation (RAG) assistant for financial guidance.
- Integrated LLM-powered pitch generation and semantic retrieval.
An AI-driven data-ingestion platform that extracts website information and prepares it for search and lead intelligence workflows.
Tech Stack: FastAPI • PostgreSQL • Redis • Celery • Crawl4AI • pgvector
- Developed crawling and data-processing workflows for website information extraction.
- Integrated asynchronous task processing for background workloads.
- Used vector embeddings and semantic search to make ingested information searchable.
- Designed backend components for CRM integration and lead intelligence.
An automation platform designed to streamline social media content workflows across multiple platforms.
Tech Stack: FastAPI • PostgreSQL • RabbitMQ • Celery • Claude API
- Worked on automated content-generation and publishing workflows.
- Integrated AI APIs into backend automation pipelines.
- Explored scheduling, integrations, and asynchronous processing for multi-platform workflows.
- REST API design and development
- Asynchronous processing and distributed workers
- Microservices fundamentals
- JWT authentication and API integrations
- Idempotency, database transactions, and concurrency control
- PostgreSQL, MySQL, MongoDB, SQLite
- Redis caching and distributed locking
- pgvector and vector search
- RabbitMQ and Celery
- OpenAI and Claude APIs
- LangChain and retrieval-augmented generation (RAG)
- LLM integrations and structured outputs
- Embeddings and semantic search
- Crawl4AI and data-ingestion pipelines
- TensorFlow, PyTorch, and Scikit-learn
- Docker and Linux
- Git and GitHub
- PyTest and automated testing
- CI/CD fundamentals
- API testing and debugging
- 🥇 Secured 4th place among 2,500+ teams at the Udyam Mahila Ideathon.
- 🌐 Contributed to open-source initiatives, including SWOC and AcWOC.
- 👨💻 Built hands-on projects in backend engineering, AI applications, and data processing.
- 🤝 Leadership experience as President of the Freelancing Club at VIT Bhopal.
- Strengthening backend engineering and system design fundamentals.
- Learning distributed systems, concurrency, and database internals.
- Building reliable AI-powered backend applications.
- Improving problem-solving and contributing to open source.
I'm always interested in discussing backend engineering, AI systems, open-source development, and software engineering opportunities.
"Understand the fundamentals. Build with purpose. Improve continuously."