Hey
Final-year CS student focused on real-world machine learning systems, cloud engineering, and full-stack development. Experienced in delivering scalable ML solutions and recognized in national-level coding contests and hackathons.
TensorFlow
PyTorch
Scikit-learn
NLP
OpenCV
LangChain
HuggingFace
Numpy
Pandas
AI-powered assistant for Indian credit cards, using LangChain and FAISS for RAG-based semantic search, with Together AI's Mistral-7B for natural language responses. Supports card comparisons, recommendations, and detailed queries with 95% query accuracy.
Tech Stack: LangChain, FAISS, Together AI (Mistral-7B), Streamlit, Flask, Pandas, Sentence-Transformers
Scalable grading system using Sentence-BERT for semantic scoring and MinHash+LSH for hybrid plagiarism detection. Achieved 92% accuracy and reduced manual grading time by 85%. Built with Flask and Docker.
Tech Stack: Sentence-BERT, MinHash, LSH, Flask, Docker
Cross-platform antivirus app combining ML (XGBoost/LightGBM) and quantum feature reduction using QUBO. Achieved 84% malware detection accuracy with a 30% performance boost. Built with Flutter and FastAPI.
Tech Stack: QUBO, XGBoost, LightGBM, Flutter, FastAPI
PyTorch model classifying fruit quality into 5 categories using fine-tuned ResNet-50 with attention layers. Achieved 86% accuracy and deployed using ONNX for edge devices.
Tech Stack: PyTorch, ResNet, ONNX, Computer Vision
Udemy
2024
Amazon Web Services
2023
