Open to opportunities

MADAN MOHAN mokka

@madanmohanmokka

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AI/ML engineer building RAG and NLP applications with LangChain, FastAPI, and AWS.

India

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What I'm looking for

I’m looking to build and deploy practical ML and GenAI systems—especially RAG pipelines and NLP features—on cloud platforms, with production-ready APIs and repeatable, scalable workflows.

I built a RAG-based LLM app with LangChain, FAISS, and LLaMA-3 (Groq API) to answer questions from uploaded research documents, including an end-to-end retrieval pipeline and citation-based responses.

I also created an AI Resume Analyzer using NLP for text preprocessing, keyword relevance, and explainable match scores for ATS screening, deployed on AWS SageMaker with S3 and a Streamlit interface.

Outside of LLM work, I’ve delivered automation with n8n and REST APIs, and designed an end-to-end healthcare ML platform for hospital readmission prediction with a Random Forest model and a React–Flask architecture deployed using Docker and CI/CD on Google Cloud Run.

Experience

Work history, roles, and key accomplishments

Daily Tech News Automation Developer

Self Employed

Built an event-driven automation pipeline in n8n to aggregate and deliver curated tech news via Telegram Bot API.

N8n JavaScript REST APIs Telegram Bot API

Research Co-Pilot Developer

Self Employed

Built a RAG-based LLM application using LangChain, FAISS, and LLaMA-3 to answer queries from research documents.

LLM RAG Lang Chain Faiss GROQ Python fastAPI Streamlit

AI Resume Analyzer Developer

Self Employed

Built an NLP pipeline for text preprocessing and keyword relevance to generate ATS match scores, deployed on AWS SageMaker.

Python Streamlit NLP AWS Sagemaker S3

MedVision AI Developer

Self Employed

Designed and deployed an ML-powered healthcare platform to predict patient readmission risk using Random Forest and React-Flask stack.

Machine Learning Random Forest React Flask Docker Firebase Google Cloud Run

Education

Degrees, certifications, and relevant coursework

Malla Reddy Engineering College

Bachelor of Technology, Computer Science and Engineering - Artificial Intelligence and Machine Learning

Grade: 8.5

Activities and societies: Relevant Coursework: Data Structures and Algorithms (Java), Probability and Statistics in CS (Python), Artificial Intelligence, Machine Learning, Linear Algebra with Computational Applications (Python)

Pursuing Bachelor of Technology in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning, with a GPA of 8.5.