The Mind Behind
the Machine

01. Who I Am

I'm Rajveer Singh, an AI & Python Engineer, Recently completed my B.Tech in CSE with AI/ML specialization. I have hands-on experience building intelligent automation tools, generative AI applications, and scalable ML pipelines.

Proficient with GPT, Gemini, and Copilot APIs alongside LangChain, RAG, and Hugging Face Transformers. I'm passionate about integrating modern AI models into real-world workflows that drive measurable business impact.

Currently working at REGex Software Services, where I build and deploy classification models, engineer end-to-end data pipelines, and collaborate cross-functionally to design AI-driven automation solutions.

02. What I Do

LLM & RAG Systems

Building retrieval-augmented generation pipelines with privacy-aware document processing and enterprise-grade deployment.

ML Model Development

Designing, training, and evaluating classification and detection models with hyperparameter optimization.

MLOps Pipelines

End-to-end workflows from ingestion to deployment with Docker, MLflow, CI/CD, and REST API serving.

Computer Vision

Real-time inference systems using CNNs, transfer learning, and optimized OpenCV preprocessing pipelines.

Skills & Expertise

Technical Skills

Languages

Python SQL

Generative AI & LLMs

GPT / OpenAI Gemini LangChain RAG Prompt Engineering Hugging Face Vector Databases ChromaDB

ML / DL Frameworks

TensorFlow PyTorch Scikit-learn Keras

Deep Learning

CNN LSTM Transformers Transfer Learning Fine-tuning Object Detection

MLOps & Cloud

Docker AWS Azure MLflow CI/CD FastAPI Flask REST API

Data & Databases

Pandas NumPy Feature Engineering ETL MySQL PostgreSQL

Tools

Git OpenCV Tesseract OCR

Non-Technical / Soft Skills

Communication & Collaboration

Cross-functional Teamwork Technical Presentation Stakeholder Communication Documentation

Problem Solving & Research

Analytical Thinking Research & Prototyping First-Principles Reasoning Hackathon Mindset

Work Ethic

Self-motivated Fast Learner Detail-Oriented Deadline Driven

Core Strength Levels

Python & ML Engineering 92%
LLMs & RAG Systems 85%
Deep Learning (CNN/LSTM/Transformers) 82%
MLOps & Docker/CI-CD 78%
Computer Vision & OpenCV 80%
Cloud (AWS / Azure) 70%