I specialize in building scalable backend systems and intelligent applications using Python, FastAPI, and cutting-edge AI frameworks. My passion lies in developing LLM applications, Retrieval-Augmented Generation (RAG), multi-agent systems, and robust, production-grade APIs.
Currently, I'm deeply exploring distributed systems, cloud-native architectures, and advanced scalable AI systems.
- 🎓 Final-year B.Tech in Artificial Intelligence & Data Science student with a strong academic foundation.
- 💻 Backend-focused developer adept at crafting scalable APIs and AI-powered applications.
- 🚀 Proven experience in developing end-to-end software systems, from architectural design to deployment.
- 🧠 Solid understanding of Data Structures, Algorithms, and System Design principles.
- 🛠 Successfully completed a full-stack development internship, gaining practical industry experience.
- 🎯 Actively seeking opportunities as a Software Development Engineer (SDE) or AI Engineer to contribute to impactful projects.
Languages: Python, Dart, SQL, C
Backend Development: FastAPI, REST APIs, GraphQL, WebSockets, Microservices Architecture
Databases: PostgreSQL, Firebase Firestore, SQLite, Vector Databases
AI / ML: LLM Applications, RAG Systems, CrewAI, Google ADK, HuggingFace Transformers, TensorFlow
Frontend & Mobile: Flutter, Material Design
DevOps & Cloud: Docker, Kubernetes, Google Cloud Platform, GitHub Actions, CI/CD Pipelines
Tools & Practices: Git, Postman, VS Code, Test Driven Development, Code Reviews
| Project | Description | Tech Stack |
|---|---|---|
| RepoPilot | CI/CD AI Fix Agent. An intelligent agent integrating with GitHub Webhooks to detect pipeline failures, semantic search past fixes, generate code solutions via Gemini, and automate PR creation. | Python, FastAPI, CrewAI, Elasticsearch, Gemini API |
| RAG Query System | Intelligent Document Retrieval. A production-ready RAG pipeline enabling high-accuracy semantic search across large document sets, featuring custom chunking strategies and robust REST APIs. | Python, LangChain, FastAPI, Vector DBs, LLM APIs |
| Krishi Sakhi | AI Agricultural Advisor. Architected a multi-agent AI system providing contextual crop recommendations and pest detection in regional languages. Focused heavily on agent orchestration patterns. | Python, FastAPI, CrewAI, Multi-Agent Systems |
| Globe Trotter | Smart Travel Platform. A comprehensive mobile app with personalized itinerary generation, smart search capabilities, and destination bookmarking. | Flutter, Dart, Firebase, Provider/Bloc |
| BluVoyage | Full-Stack Booking App. Built secure backend services for authentication, booking logic, and third-party integrations alongside a dynamic mobile frontend. | FastAPI, PostgreSQL, Flutter, REST APIs |
- Advanced System Design patterns for building highly scalable and resilient distributed systems.
- Deep diving into Database Optimization techniques and performance tuning for large-scale applications.
- Building and deploying Production-Grade LLM Applications with a focus on observability, evaluation, and continuous improvement.
- Exploring contributions to Open Source Projects within the Python ecosystem.
I am driven by a commitment to building software that is not just functional, but also reliable, scalable, and maintainable. My approach emphasizes thoughtful architectural decisions, clean code practices, and a problem-solving mindset.
What teams can expect from me:
- Strong Problem-Solving Skills: Grounded in Computer Science fundamentals and practical application.
- Clean, Well-Documented Code: With a focus on readability and comprehensive test coverage.
- Proactive Communication: A collaborative team player who communicates effectively and transparently.
- Adaptability & Continuous Learning: Quickly grasps new technologies and adapts to evolving project requirements.
- Results-Oriented: Dedicated to delivering high-quality, working software while upholding code quality standards.
⭐ Open to Software Development Engineer and AI Engineer opportunities. Let's build something impactful together!