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.

🔗 View Project

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.

🔗 View Project

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."