NILESH PANDEY // AI ENGINEER

// AI Engineer · RAG & LLM Systems · VIT 2026

NILESH PANDEY

I build machines that think, systems that learn,
and models that understand - at scale.

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// 01 — About

AI that scales

B.Tech student at Vellore Institute of Technology, obsessed with building AI systems that solve real problems at massive scale. From deploying RAG pipelines handling 1,000+ daily queries to fine-tuning LLMs for medical diagnosis with 97% accuracy — I bridge research and production.

Ex Intern at Prxis Tech Solutions, engineered scalable AI infrastructure with Llama 3, FAISS, and cloud-native systems. Grand Finalist & 1st Place Healthcare at IIC 2024.

nilesh@vit:~

❯ cat profile.json

{

"name": "Nilesh Pandey",

"role": "AI/ML Engineer",

"university": "VIT 2026",

"cgpa": 7.70,

"specialization": [

"LLM Fine-tuning",

"RAG Systems",

"Machine Learning"

"Data Science"

"Algorithms"

"Computer Vision",

"NLP at Scale"

"status": "Open to opportunities"

}

❯

// 03 — Technical Arsenal

Tools of the craft

LLMs SLMs LangChain FAISS RAG Systems PyTorch TensorFlow Keras FastAPI Flask Python C++ SQL MongoDB PostgreSQL AWS Google Cloud OCI HuggingFace OpenCV Pandas NumPy Scikit-learn MLOps

// 04 — Recognition

Built under pressure

IIC 2024 · International Innovation Challenge

Grand Finalist + 1st Place
Healthcare Category

From 764 competing teams, secured Top 10 in the grand finals. In 48 hours, designed and deployed a full AI-driven medical assistant — fine-tuned Mistral 7B in a RAG system for real-time symptom detection and diagnosis.

764 Competing Teams

Top 10 Grand Finals

48h Build Time

#1 Healthcare Track