Headline

AI/ML Developer | LLM & Computer Vision Specialist | Face Recognition & Generative AI | End-to-End Intelligent System Builder

About

I build bits of code that spot faces, talk over manuals, and even dream up cake designs. From AI pipelines to friendly chatbots, I enjoy turning tough ideas into tools people can use. I started out as an intern sorting nursery data and now design full-stack systems that mix computer vision, NLP, and large language models. A few highlights: • Face Recognition + Spoof & Emotion checks for safe, fast ID • BakeAidPro – a cake design generator using GPT-4o-mini and Imagen-4 • Document-aware chatbot that reads product manuals so support teams answer faster • Clean data pipelines with DeepFace, FastAPI, LangChain, Qdrant, MySQL & GCP My day-to-day ranges from writing Python APIs to tweaking embeddings for better search. I like clear code, open feedback, and projects that help someone save time or smile. Let’s trade ideas or talk about your next ML challenge—just hit “connect” or drop a note.

Location

Sas Nagar

Work experience

Jr AI/ML Developer at Immense Prescient, Jan 2025 - Present · 1 yr 6 mos, Mohali district, India, Developed an AI-powered facial recognition system with live identity verification and spoof detection for automated attendance. Built a document-aware chatbot using RAG architecture enabling fast semantic search across PDF manuals. Integrated LLMs and image-generation models to create BakeAidPro, a platform that generates custom cake designs for bakers. Designed real-time guidance workflows for computer vision systems to improve user experience and accuracy. Implemented end-to-end AI pipelines — from data ingestion and embeddings to cloud deployment and API-driven model outputs.

Jr AI/ML Engineer at eNest Technologies, Aug 2024 - Dec 2024 · 5 mos, Built a data pipeline to structure unorganized plant datasets into searchable formats. Developed a real-time face recognition system using DeepFace and FaceNet512. Processed and analyzed PPG waveform data from the MIMIC-III healthcare database. Supported AI/ML model development, data preparation, and integration into applications.

AI/ML Intern at eNest Technologies, Jan 2024 - Jul 2024 · 7 mos, Completed extensive training in inferential statistics, covering hypothesis testing, ANOVA, and generalized linear models. Enhanced deep learning and prompt engineering skills, specializing in techniques for large language models (LLMs). Initiated work on a Nursery Information POC project involving data structuring, and data categorization by plant attributes (name, size, vendor, etc.), which transitioned to full-time contributions.

Education

Bachelor of Engineering - BE, Computer Science, Thapar Institute of Engineering & Technology

12th, Mount Carmel School, Chandigarh