Looking for a job

Naresh Nagula

@nareshnagula

Message

I build production multi-agent AI systems, RAG platforms, and FastAPI tools that automate complex workflows.

India

Message

What I'm looking for

I’m targeting AI Engineer or GenAI Engineer roles where I can build production LLM, RAG, multi-agent, and FastAPI solutions that automate complex workflows end to end.

I'm building multi-agent AI systems and production AI tools at Vivasvat Revolutions, using Python, LangChain, OpenAI APIs, n8n, and FastAPI to automate data extraction and workflow orchestration.

Previously at LockTrust, I engineered 5+ Generative AI applications and REST APIs that increased service throughput by 40%. I also built a face authentication system with 90%+ recognition accuracy and reduced production release cycles by 30% through Docker, Jenkins, and GitHub Actions.

My projects include SwipeHire, which reduced job application time from roughly 15 minutes to under 30 seconds, and AMKIP, a RAG platform processing 10,000+ document embeddings for sub-second semantic search. I've also built AI-powered retail checkout and enterprise invoice-processing platforms.

As a National Hackathon Winner and 2026 Artificial Intelligence & Data Science graduate, I’m targeting AI Engineer and GenAI Engineer roles where I can build reliable agentic AI products end to end.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Vivasvat Revolutions

Apr 2026 - Present (5 months)

Designing and developing multi-agent AI systems and production AI tools using Python, LangChain, OpenAI APIs, and modern LLM frameworks for intelligent task automation at scale. Building and deploying autonomous AI agents for data extraction, workflow orchestration, and end-to-end agentic pipeline management using n8n and FastAPI backend services.

Python Lang Chain OpenAI API LLM AI Agents Multi Agent Systems N8n fastAPI Workflow Orchestration Agentic AI

AI/ML Engineer Intern

LockTrust

Jun 2025 - Jan 2026 (7 months)

Engineered 5+ production Generative AI applications and RESTful APIs in Python and FastAPI, increasing service throughput by 40% and reducing system downtime. Built a face authentication system using MTCNN and InceptionResNetV1 with 512-dimensional embeddings; integrated Google Authenticator for multi-factor 2FA, achieving 90%+ recognition accuracy.

Python fastAPI Generative AI REST APIs Google Authenticator 2FA CI CD Docker Jenkins GitHub Actions

AI Intern

Softwave Infobyte

Jan 2025 - Feb 2025 (1 month)

Trained and evaluated 3+ ML classification models using Scikit-learn, TensorFlow, and Keras, improving prediction accuracy by 15% through systematic hyperparameter tuning. Built data preprocessing pipelines with Pandas and NumPy; co-developed GenAI application prototypes using LLM APIs, cutting manual data preparation time by 25%.