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Deva Nandan JS

@devanandanjs

Machine Learning Associate Intern at Tensaw Technologies who architected an 11-agent system for revenue cycle management.

India

Message

At Tensaw Technologies, I architected an autonomous 11-agent system that plans, retrieves, and reasons over business data to resolve natural-language queries for Revenue Cycle Management. I also redesigned orchestration into a deterministic plan-and-execute architecture and engineered CI/CD pipelines for deployment to AWS EC2.

My projects include a RAG-based product knowledge assistant built with Python, FastAPI, and Qdrant, which achieved 0.945 Recall@5 across 40 benchmark questions. In computer vision and medical AI work, I developed pipelines and models for sports video analysis, clinical document parsing, and disease classification.

Experience

Work history, roles, and key accomplishments

Machine Learning Associate Intern

Tensaw Technologies

Mar 2026 - Sep 2026 (6 months)

Architected an autonomous 11-agent multi-agent system using CrewAI to automate Revenue Cycle Management. Redesigned orchestration into a deterministic plan-and-execute architecture and engineered CI/CD pipelines with Bitbucket Pipelines for deployment to AWS EC2.

Crew AI Multi Agent Systems CI CD Bitbucket Pipelines EC2 Python

AI/ML Research Intern

Accubits Invent

Jan 2026 - Mar 2026 (2 months)

Implemented Agentic AI workflows using OpenClaw and LangChain for task automation and OCR-based data extraction. Developed medical-device classification models and benchmarked XGBoost, SVM, and Random Forest algorithms.

OpenClaw Lang Chain Python XGBoost SVM Random Forest OCR data preprocessing

AI Intern

ICore Pioneer Business Solutions

Sep 2025 - Jan 2026 (4 months)

Developed the core vision pipeline for a B2C sports analytics platform using OpenAI CLIP, YOLO, and LSTM with Dynamic Time Warping. Optimized deep learning inference with batch processing, GPU acceleration, and ONNX Runtime.

OpenAI CLIP YOLO LSTM Dynamic Time Warping ONNX Runtime GPU Acceleration Python

Data Engineering Intern

UST

Oct 2023 - Jan 2024 (3 months)

Developed an end-to-end clinical document parsing pipeline using OpenCV, OCR, and rule-based NLP for HCC coding workflows. Implemented an LSTM/RNN sequence model to evaluate patient clinical risk scores.

OpenCV OCR NLP LSTM RNN Python

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology Bhopal

Integrated M. Tech, Artificial Intelligence

2021 - 2026

Grade: 7.58 CGPA

Integrated M. Tech in Artificial Intelligence with a CGPA of 7.58, from June 2021 to July 2026. Coursework included Deep Learning, NLP, Computer Vision, Statistical Methods, and Cloud Computing.