@Jaikumar06
Jai Kumar
@Jaikumar06
From neural networks to autonomous agents, I create systems that see, decide, and act.
I design environments, train models from scratch, and push machines to learn like humans.
From neural networks to autonomous agents, I create systems that see, decide, and act.
I design environments, train models from scratch, and push machines to learn like humans.
Bhilai, India
👋 Hi, I'm Jai Kumar
AI/ML Engineer | LLM & Multi-Agent Systems Developer | 4× Hackathon Winner
🚀 About Me
I’m an AI/ML Engineer and B.Tech CSE student at Rungta College of Engineering, passionate about creating intelligent and scalable AI systems that solve real-world problems.
I specialize in Large Language Models (LLMs), Computer Vision, and Multi-Agent Architectures, with experience in developing end-to-end AI projects across healthcare, education, and finance domains.
I focus on transforming complex challenges into deployable AI solutions — from model fine-tuning to production APIs.
🏆 Achievements
- 🥇 HackOMania 2025 – Winner
- 🥈 AlgoStorm 1.0 – Runner-up
- 🥈 HACKBIOS 2k25 – Runner-up
- 🏅 Problem Statement Winner – Code Utsava 9.0, NIT Raipur
- 🥉 Semester Project Competition – 3rd Place
💼 Experience
🧠 AI Intern – Microsoft + SAP (TechSaksham)
📅 Dec 2024 – Jan 2025
- Built a CNN-based Plant Disease Detection System with 94% accuracy.
- Enhanced model robustness using data augmentation and hyperparameter tuning.
🤖 Data Science Intern – Evoastra Ventures OPC Pvt. Ltd.
📅 Jul 2025 – Aug 2025
- Developed an Image Captioning System using CNN + LSTM architecture.
- Delivered a full ML pipeline, from preprocessing to evaluation.
🧩 Featured Projects
-
AI-powered Amazon Product Recommender (Live)
→ Recommendation system using Hugging Face embeddings, AstraDB, and Groq. -
AI Travel Planner Agent (Live)
→ LangGraph-based multi-agent assistant generating itineraries and PDFs. -
Fine-tuned TinyLlama for Mental Health Counseling
→ Fine-tuned TinyLlama-1.1B using QLoRA (4-bit quantization) for empathetic AI conversations.
⚙️ Tech Stack
Languages: Python, Git, Streamlit
Frameworks & Libraries: TensorFlow, Keras, Scikit-learn, Pandas, NumPy
LLMs & NLP: LangChain, LangGraph, Hugging Face, Pinecone, RAG
Deployment: FastAPI, Docker, REST APIs
Vision & Speech: OpenCV, YOLO, Whisper
Others: Reinforcement Learning (OpenAI Gym), Data Visualization
🤝 Connect With Me
📧 [email protected]
💼 LinkedIn
💻 GitHub
⭐ “Building AI systems that make a real difference.”