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NDDimension/README.md

Dhanraj Sharma

AI/ML Engineer • LLMs, Retrieval, Computer Vision & End-to-End Pipelines

🧬 About Me

B.Tech in Computer Engineering (AI & ML)
CGPA: 9.4

I build end-to-end AI systems — from data → modeling → deployment.

My main focus areas are:

  • LLMs, RAG architectures & context engineering
  • Deep Learning & representation learning
  • NLP + Computer Vision fusion workflows

I care about elegant systems, composable abstractions, and shipping working AI in production — especially across healthcare, automation, and decision systems.

🔧 Tech Stack

AI & Machine Learning

  • Python
  • NumPy, Pandas, Scikit-learn
  • TensorFlow, Keras, PyTorch
  • LightGBM, XGBoost
  • OpenCV, MediaPipe

NLP & LLMs

  • Transformers, HuggingFace
  • RAG Pipelines, Embeddings
  • Vector DBs: Chroma, FAISS
  • LangChain, Prompt Engineering

Backend & Tools

  • FastAPI, REST APIs, JWT Auth
  • Docker, Git, GitHub Actions
  • Selenium Automation
  • SQL / MySQL

Other Skills

  • Data Engineering Workflows
  • MLOps Basics
  • Exploratory Data Analysis (EDA)

📌 Featured Work

🎯 Highlighted Projects

AutoSage-VehicleAI

AI assistant combining Computer Vision + Conversational Generative AI.
Your internship project → HUGE value.

Simple-Rag-Pipeline-Demo

A clean, modular RAG pipeline with Grok + ChromaDB.
Recruiters love RAG skills.

Image-Caption-Generator

CNN-LSTM based image caption system.
Shows Deep Learning + CV + NLP + deployment.

Pancreatic-Cancer-Detection

LightGBM classifier on medical dataset.
Serious applied ML → medical domain → strong talking point.

DeepMelody / Chopin-AI

AI music generation system.
Creative AI project = big “wow factor”.

FastAPI CrashCourse Blog API

Shows backend/API engineering fundamentals — highly valuable for ML Engineer roles.

🌱 Currently Exploring

  • Advanced RAG architectures and context regimes
  • Efficient tuning: LoRA / QLoRA / adapters
  • Multi-agent coordination patterns

🔗 Connect

   

Designing intelligent systems with taste.

@NDDimension's activity is private