Manav Yadav
Jodhpur, India
Manav Yadav
AI agents, Machine Learning, automation, chatbots
Category : Artificial intelligence (AI)
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.
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.
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
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