Skip to content

nihal-5/nihal-5

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

19 Commits
 
 

Repository files navigation

Nihal Veeramalla

AI/ML Engineer building intelligent agent systems and production AI applications.

Recent Work

Building multi-agent collaboration systems with AutoGen, LangGraph, and CrewAI. Focus on production deployments and real-world applications.

Projects

Multi-Agent Systems

AutoGen Multi-Agent Collaboration
4 specialized agents working as a team with real-time dashboard. Built with Microsoft AutoGen - agents actually debug each other's code which is pretty cool to watch.

AI Trading Simulation
Multi-agent trading where 4 traders compete using different strategies. Testing GPT-4, Gemini, and Deepseek against each other on real market data. Fun to see how different models approach the same trades.

LangGraph Task Assistant
Autonomous agent that handles web browsing and code execution. Built with LangGraph's state machine approach. Uses self-evaluation to improve results.

CrewAI Research Assistant
Multi-agent research system with specialized researcher, fact-checker, and writer roles. CrewAI's hierarchical structure makes agent collaboration cleaner.

Computer Vision

Real-time Video Analytics
Ask questions about live video in natural language. Works with YouTube streams, webcams, and video files. Real-time object detection and scene understanding.

Product OCR Pipeline
YOLO + OCR for extracting nutrition facts, barcodes, and product images from packaging. Automates tedious e-commerce data entry.

Automation

Email & WhatsApp MCP
Automated job application system using Model Context Protocol. Detects job postings, generates tailored resumes, sends WhatsApp notifications.

Tech Stack

Frameworks: AutoGen, LangGraph, CrewAI, LangChain
Languages: Python, TypeScript, JavaScript
ML/AI: PyTorch, TensorFlow, Scikit-learn, Transformers
APIs: OpenAI, Gemini, Deepseek, Brave Search
CV: OpenCV, YOLO, COCO-SSD, EasyOCR
Backend: FastAPI, Node.js, Express
Tools: Docker, Git, Jupyter, NumPy, Pandas

Current Focus

Multi-agent collaboration systems with tool calling and Model Context Protocol (MCP) integration. Researching agentic workflows, function calling patterns, and agent-to-agent communication architectures.

Contact

LinkedInGitHub[email protected]


Building agents that actually work in production.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •