Python-first AI/ML engineer working across Generative AI, LLM fine-tuning, RAG, Agentic AI, computer vision and MLOps — from model development to deployed APIs.
I build practical AI systems that connect machine-learning models with retrieval, agents, APIs and cloud infrastructure.
Model development, deep learning, fine-tuning, evaluation, computer vision and data-driven experimentation using Python.
LLM applications using RAG, LoRA/PEFT, prompt engineering and agent workflows, exposed through APIs and deployed infrastructure.
Every project below shows the problem, technical implementation, stack and available proof — without requiring hover interactions.
Fine-tuned TinyLlama-1.1B for an anime-domain Q&A chatbot using LoRA, then exposed the model through an interactive application and cloud deployment workflow.
End-to-end malicious-website classification pipeline covering training, experiment tracking, API serving, containerization, AWS deployment and automated CI/CD.
Multi-step LangGraph workflow using an LLM decision layer with computer-vision/OCR signals and tool-driven actions across the workflow.
Document question-answering workflow that ingests documents, creates embeddings, retrieves relevant context and grounds LLM responses in source material.
Multimodal LLM application for reading invoice images and answering structured queries through an interactive Streamlit interface.
Real-time YOLOv11 computer-vision system classifying dustbin status from a live camera stream using OpenCV.
Exploratory analysis of football-player data using distribution and correlation analysis to investigate patterns in the dataset.
Cleaned the Google Play dataset in Excel and built an interactive Power BI dashboard with DAX measures.
Grouped for quick recruiter scanning rather than hidden inside icons or hover cards.
Sagar Institute of Research and Technology & Science, Bhopal
CGPA: 7.50
Cranes Varsity
Focus: Python, statistics, machine learning and applied data science.
For AI/ML engineering, GenAI, LLM, RAG, Agentic AI and MLOps opportunities, reach out through the links below.