Headline

Applied AI Engineer @rises.AI | Building Production-Ready LLM Agents & RAG Systems | Medical AI & Computer Vision | XAI, LangGraph, PyTorch, React & FastAPI | Final Year-MNNIT CSE

About

I'm a final-year CSE student at MNNIT Prayagraj building at the intersection of Agentic AI, full-stack engineering, and real-world product thinking. My focus right now is applied AI — not the kind that lives in notebooks, but systems that actually run in production. I've spent the last year going deep on LangGraph, RAG pipelines, edge ML, and LLM orchestration, building projects that solve concrete problems with measurable outcomes. What I've built: → An autonomous 7-node LangGraph support orchestrator (Groq + Llama-3.1 + FAISS) that reduced triage time from 24 hours to under 5 seconds with 92% accuracy — complete with fault-tolerant RAG, Pydantic-enforced structured outputs, and a Streamlit dashboard for Human-In-The-Loop escalation. → A 100% offline Edge AI intent classifier for IoT wearables. Architected a Hierarchical Logistic Regression router with an OOD Reject Gate that maps natural language to SDK functions. It achieves 100% accuracy and sub-millisecond latency, all strictly confined to an 860 KB model footprint. → An AI-powered Drone Security Analyst processing real-time video feeds. Architected a fault-tolerant, dual-layer detection pipeline that combines a LangChain reasoning engine with a deterministic 9-rule engine to guarantee zero false alerts. Integrated OpenCV for frame extraction and engineered a dual-database storage system (ChromaDB and SQLite) for both semantic vector search and structured geospatial audit trails. What I work with: Python · FastAPI · Scikit-learn · SciPy · LangGraph · FAISS · ChromaDB · OpenCV · SQLite · Next.js · TypeScript. What drives me: I'm drawn to problems where AI isn't just an add-on but the actual solution architecture. RAG systems, agentic workflows, structured LLM output, and hardware-constrained edge ML — this is where I spend most of my time thinking and building. I'm actively looking for AI/ML engineering internship/full-time opportunities where I can work on systems that ship. 📩 vaibhavjathar287@gmail.com | Open to: AI Intern · ML Engineer · Full-Stack AI roles

Location

Pune City

AI stack

langchain

langgraph

ollama

openai

Work experience

Appiled AI Engineer at Rises Analytics Solutions Pvt Ltd, May 2026 - Present · 2 mos, Pune City, • Currently exploring and experimenting AI/ML in Health care.

Marketing Lead at Computer Coding Club MNNIT, Nov 2024 - May 2026 · 1 yr 7 mos, Prayagraj

Marketing Specialist at E-Cell, MNNIT Allahabad, Sep 2023 - May 2026 · 2 yrs 9 mos, Uttar Pradesh, India

Software Developer intern at Savla Associates, Jun 2025 - Jul 2025 · 2 mos, Thane, -> Engineered and deployed the firm’s first responsive corporate website using Next.js and Tailwind CSS, establishing its online presence and increasing inbound client inquiries by 50%. -> Designed and implemented an interactive Life Insurance calculator with Firebase backend integration, providing a self-serve tool that reduced preliminary consultation times by 10-15 minutes. -> Built reusable frontend components and optimized page performance, achieving a Lighthouse performance score of 90+ across desktop and mobile devices. -> Collaborated with senior associates to translate business requirements into deployable web features in a fast-paced Agile workflow.

Education

B.tech CSE, Computer Science, Motilal Nehru National Institute of Technology

kendriya vidyalaya