Manav Yadav

AI / ML Freelancer | 5+ Years Experience in Production-Grade Systems

I’m an AI/ML engineer with 5+ years of hands-on experience building, deploying, and optimizing real-world AI systems. I focus on solutions that work in production, not demos that break after delivery.

I help startups, agencies, and product teams design and ship AI agents, machine learning models, NLP systems, and computer vision pipelines that actually solve business problems.

What I Can Build for You

AI Agents & Automation

Task-based AI agents (data analysis, decision support, workflow automation)

LLM-powered agents using OpenAI, Gemini, LLaMA, Groq

Tool-using agents (API calls, DB access, web actions)

Multi-agent systems with orchestration (LangGraph / custom logic)

Machine Learning

End-to-end ML pipelines (data → training → evaluation → deployment)

Supervised & unsupervised models

Feature engineering, model optimization, and performance tuning

Model monitoring and drift handling

Natural Language Processing (NLP)

Text classification, summarization, sentiment & tone analysis

Chatbots and AI assistants

Document understanding (PDFs, emails, contracts, forms)

Multilingual NLP systems

RAG (Retrieval-Augmented Generation) with vector databases

Computer Vision

Object detection & tracking (YOLO, custom CNNs)

OCR systems (PaddleOCR, Tesseract, custom pipelines)

Face recognition, head/person detection

Document image classification & extraction

Real-time vision systems

Backend & Deployment

API development (FastAPI, Flask)

Model deployment on cloud (GCP, AWS, Docker)

Database integration (MongoDB, PostgreSQL, Vector DBs)

Scalable, production-ready architecture

Skills & Tech Stack

Languages: Python, SQL, JavaScript

Frameworks: PyTorch, TensorFlow, Scikit-learn

LLMs & Agents: LangChain, LangGraph, OpenAI, Gemini, LLaMA, Groq

CV & NLP: YOLOv8, PaddleOCR, Transformers, spaCy

Databases: MongoDB, PostgreSQL, FAISS, Pinecone

Deployment: Docker, REST APIs, Cloud Functions

Tools: Streamlit, Git, CI/CD

Example Projects

AI Email Reply Bot
NLP-based system that analyzes tone, intent, and context to auto-generate professional email replies with editable placeholders.

Multi-Agent Decision System
Designed AI agents that collaborate to analyze data, plan actions, and execute tools autonomously.

Document Classification & OCR Platform
Built an ML system to identify and extract data from IDs, passports, bank documents, and forms.

Real-Time Vision Detection System
Combined YOLO-based person detection with head detection for analytics and safety monitoring.

AI-Powered Learning Platform
Developed adaptive learning modules with quizzes, puzzles, and an AI tutor for personalized education.

How I Work

Clear requirements, no vague promises

Focus on accuracy, speed, and maintainability

Clean code, documented APIs

Honest timelines and realistic scope

Support after delivery if needed

If you’re looking for someone who understands both AI theory and production constraints, I’m a solid fit.
Let’s discuss what you want to build and whether it actually makes sense to build it with AI.