AI/ML Engineer | Generative AI, RAG & Deep Learning | Python, PyTorch, LangChain, FastAPI
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AI/ML Engineer | Generative AI, RAG Systems & Applied Deep Learning 📧 jaskaranvirk0100@gmail.com | 📱 (+91) 8146262937 | I design and ship AI/ML systems end-to-end — from model development to production deployment — with a focus on Generative AI, Retrieval-Augmented Generation, and applied deep learning. My work spans the full ML lifecycle: data processing, model integration, vector search, and cloud-native deployment, backed by a strong software engineering foundation that ensures what I build is reliable and scalable in production. Recent Projects - AskDOCS — RAG-Based Document Q&A System Architected a 6-stage RAG pipeline integrating Gemini embeddings, pgvector semantic retrieval, and grounded LLM prompting to deliver accurate, low-hallucination document Q&A on a cloud-native FastAPI + PostgreSQL + Supabase backend. SnapClass — AI-Powered Attendance System Built a facial recognition system using dlib embeddings and SVM classification, achieving 98% recognition accuracy and reducing manual attendance effort by 95%. Resumind — AI Resume Analyzer Developed an AI-driven feedback engine that improved resume analysis accuracy by 40% and boosted resume quality scores by 50% through real-time, role-tailored recommendations. Splitr — AI-Powered Expense Management Platform Engineered a full-stack application with real-time sync and automated financial dashboards, improving load speed by 40% and reducing manual reconciliation effort by 80%. Technical Focus: PyTorch, scikit-learn, LangChain, LangGraph, RAG architectures, Prompt Engineering | Python, FastAPI, React/Next.js Pursuing a Bachelor’s in Computer Applications at Chandigarh University, with certifications in AI/ML Engineering, Data Structures & Algorithms, and Full-stack Web Development.
Sardulgarh