Profile Summary
Entry-level Data Scientist / ML Engineer with strong hands-on experience in building end-to-end ML and AI systems. Skilled in data analysis, feature engineering, model development, MLOps, and Retrieval-Augmented Generation (RAG). Experienced in deploying production-ready ML pipelines using cloud services, Docker, and CI/CD workflows.
Technical Skills
Programming
Machine Learning
AI / NLP
MLOps & Backend
Featured Projects
Vehicle Insurance Purchase Prediction
Python, FastAPI, MongoDB, AWS, Docker
- Production-grade ML system for predicting insurance purchase likelihood.
- Implemented ingestion, validation, feature engineering, imbalance handling.
- Automated CI/CD pipeline: Docker, GitHub Actions, AWS S3/EC2/ECR.
Kheti Agent API (Agri-Fintech RAG)
FastAPI, Qdrant, Groq, Redis, Whisper
- AI-powered Agri-Fintech assistant for farmers speaking Nepali/English.
- Integrated voice-streaming (speech-to-text to RAG to speech) using Whisper.
- Modular backend handling Memory, Document Chunking, and KYC via MCP Servers.
Document Question Answering RAG Chatbot
Streamlit, Embeddings, LLMs
- Chatbot for answering questions from PDF/DOCX/TXT.
- Chunking, embeddings, vector search, conversational retrieval.
Education
B.Sc. in Computer Science and Software Engineering
Patan College of Professional Studies, Nepal
2019 – 2023 | CGPA: 2.50 / 4.0
Certifications
Data Science with Python
Certified in advanced python data science techniques.