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manishareddy muthumula

@manishareddymuthumul

AI/ML engineer building LLM-powered document assistants and end-to-end machine learning systems, including a context-grounded RAG application.

India

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What I'm looking for

I’m interested in applying modern AI technologies to real-world product experiences and scalable intelligent systems.

I developed DocuMind, an LLM-powered document assistant that uses RAG to answer questions with context grounded in uploaded documents. I connected document processing, semantic retrieval, and generation, then added FastAPI endpoints and Docker deployment.

For MLServe, I developed a customer churn prediction pipeline and compared Logistic Regression, Random Forest, and XGBoost using classification metrics. I also integrated MLflow experiment tracking and built FastAPI prediction endpoints with PostgreSQL storage.

As an AI/ML Intern at Indian Institute of Technology Kharagpur, I developed a thermal-image pipeline for non-contact HRV estimation. I worked on facial region extraction, signal processing, and SVR predictions evaluated against PPG measurements.

Experience

Work history, roles, and key accomplishments

AI/ML Intern

Indian Institute of Technology Kharagpur

Developed a non-contact Heart Rate Variability (HRV) estimation pipeline using thermal facial images and physiological signal analysis. Implemented facial ROI extraction, image preprocessing, feature engineering, and signal processing using Python and OpenCV.

Python OpenCV Signal Processing Feature Engineering Support Vector Regression Kalman Filter Bandpass Filtering