Computer Engineering graduate currently contributing to the Agni Charge EV charging platform at Agni Energy. Focused on backend services, RESTful APIs, and application integrations, with hands-on project experience in computer vision, NLP, and retrieval-augmented generation.
I’m a Computer Engineering graduate with an interest in backend development and AI/ML. During my bachelor’s degree, I earned semester scholarships from the second through the seventh semester. I also built projects including a real-time emotion recognition system, a pet recommendation system, and an agricultural chatbot that answers questions from uploaded PDFs.
I’m currently working at Agni Energy on a three-month contract, contributing to backend services, RESTful APIs, and application integrations for the Agni Charge EV charging platform. This role introduced me to the Open Charge Point Protocol (OCPP), which was completely new to me. Learning how charging stations communicate with management systems has been an exciting part of the experience.
I enjoy understanding how things work and putting what I learn into practice. My projects have given me experience with Python, FastAPI, TensorFlow, Scikit-learn, React, and TypeScript, as well as integrating OpenAI and Ollama models. I’m continuing to build on that foundation through professional backend work and personal AI/ML projects.
Technical Backend Developer (Contract)
Contract designation: Technical Consultant
– Present
Project: Agni Charge, an EV charging platform
Backend & APIs
AI/ML
Languages & Web
Tools
Developed a RAG-based AI chatbot for agricultural question answering. Implemented document upload, text extraction, chunking, FAISS-based semantic retrieval, and LLM-powered response generation to deliver accurate, context-aware answers from user-provided documents.
Tech Stack: Python, FastAPI, FAISS, Sentence Transformers, Ollama, PyMuPDF/PyPDF2
GitHub Demo
