I'm currently pursuing my M.Tech in Computer Science at IIIT-Delhi , where I work on enhancing Small Language Models at the MIDAS Lab. I'm passionate about building and deploying scalable, end-to-end machine learning solutions, from developing robust APIs with FastAPI and Celery to fine-tuning large models on multi-GPU systems.
- AWS Certified Machine Learning Engineer – Associate
- Microsoft Certified: Azure Data Scientist Associate
Here are some of the projects I'm proud of.
| Project Title | Key Achievement & Technologies |
|---|---|
| Advanced ANPR & Face Recognition | 🏆 National Runner-Up at KAVACH-24 Cybersecurity Hackathon. Led a team to develop an end-to-end system achieving 92% precision and 91% recall in license plate detection. YOLOv8 FastAPI ResNet Siamese Networks React Native |
| Student Dropout Analysis | 🏆 State-Level Hackathon Winner and published in IEEE I2CT 2024. Developed a predictive analytics dashboard using Polynomial Regression, achieving a 0.9976 R2 Score. Python Pytorch Pandas Scikit-learn Linear Regression |
| Microservices Benchmarking | Deployed and benchmarked a distributed social network on Docker Swarm & Google Kubernetes Engine (GKE). Integrated Prometheus & Pixie for end-to-end observability and performance analysis across different scaling strategies. Kubernetes Docker GKE Prometheus Pixie |
| Jr. SDE Intern @ Ishitva Robotics | Improved waste-detection model accuracy by 4% (to 93% overall). Developed a synthetic data generation pipeline using C++ and OpenCV and streamlined data clustering, contributing to more efficient model training. C++ Python OpenCV Pytorch-Metric-Learning |
- Unlocking Enigmatic Pathways: Empowering Student Dropout Analysis with Machine Learning and Energizing Holistic Investigation
2024 IEEE 9th International Conference for Convergence in Technology (I2CT)
Read the paper on IEEE Xplore