I build practical AI systems, developer tools, and software solutions focused on solving real-world problems. Currently exploring AI infrastructure, systems engineering, open-source development, and high-performance computing.
I'm passionate about understanding how software works beneath the surface β from algorithms and operating systems to distributed systems and AI inference.
Portfolio Β· LinkedIn Β· GitHub
- π B.Tech Computer Science & Engineering (Artificial Intelligence), Yenepoya University.
- π± Actively preparing for Google Summer of Code 2027.
- π§ Contributing to open-source projects, including AOSSIE's OrgExplorer.
- π€ Exploring AI, Generative AI, RAG, Computer Vision, and Edge AI.
- βοΈ Interested in C++, Linux, distributed systems, and AI infrastructure.
- π SheBuilds Hackathon β National 2nd Runner-up, Team Lead.
- π©βπ» Tech Vice President at NIAT.
Open Source Contributor β OpenVINO Ecosystem
- Built AI optimization demonstrations using YOLOv8, BERT, and MobileNetV3.
- Explored model conversion, inference optimization, and edge AI deployment.
- Worked with benchmarking and deployment workflows.
Open Source Contributor β AOSSIE
- Contributing to OrgExplorer.
- Working on organization search functionality.
- Participating in pull-request reviews and collaborative development.
Frontend Development Intern β CodeAlpha
- Developed responsive web applications using React.
- Improved component reusability and UI implementation.
Python FAISS BM25 LangChain LLMs
- Developed a hybrid retrieval pipeline combining dense and keyword search.
- Implemented cross-encoder reranking and MMR-based retrieval.
- Integrated query rewriting and LLM-powered grounded question answering.
Python YOLO OpenVINO Computer Vision
- Developed a real-time medicine identification system.
- Implemented YOLO-based object detection.
- Optimized inference using OpenVINO.
- Project benchmarks: 85% accuracy and 30+ images/second throughput.
Python React FastAPI PyTorch
- Building an AI-powered quantitative finance platform.
- Exploring financial forecasting, portfolio optimization, and risk analysis.
JavaScript Software Development
- A technology project focused on women's safety.
- Explore the implementation and features in the repository.
| Area | Technologies |
|---|---|
| Languages | C++, C, Python, Java, JavaScript, SQL |
| AI / ML | Machine Learning, PyTorch, YOLO, OpenCV, OpenVINO, RAG, LLMs |
| Backend | Python, FastAPI, Flask, Node.js, Express |
| Frontend | React, JavaScript |
| Databases | SQL, MongoDB |
| Infrastructure | Docker, Git, GitHub, Cloud Fundamentals |
| Core CS | Data Structures, Algorithms, DBMS, Operating Systems, Networking |
- LeetCode Knight
- Contest rating: 2,026
- 1,000+ DSA problems solved
- Focused on algorithmic problem-solving and competitive programming.
- SheBuilds Hackathon: National 2nd Runner-up, Team Lead.
- Big Code 2026: Selected.
- SIH: Internal selection.
- NIAT: Tech Vice President.
- Aspire Institute: Selected for Aspire Leaders Program, Cohort 4 (2026).
- Contributing to open-source projects and preparing for GSoC 2027.
- Deepening C++, Linux, and systems programming skills.
- Exploring high-performance AI inference and infrastructure.
- Building practical developer tools and scalable software systems.
Building. Contributing. Learning. Improving.
Always open to meaningful open-source collaboration and engineering challenges.


