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Rethika K Jegan

@rethikakjegan

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I'm an AI and Data Science student building production-grade ML, RAG, and deep learning pipelines.

India

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What I'm looking for

I'm looking to apply my Python, AI/ML, LLM, RAG, and deep learning experience to build AI accelerators within a collaborative engineering team while continuing to learn quickly.

I've built AI systems across Bellcorp Studio, DeaRx Mom, and Parabox—from elevator modernization visualization on Azure to maternal health forecasting and lung cancer classification from chest CT scans.

At Bellcorp Studio, I develop modular Python components for object detection, image segmentation, depth estimation, and generative AI workflows that simulate realistic elevator retrofits from site images. At DeaRx Mom, I built fertility forecasting and ovulation prediction models, plus the Ollama-powered Conceivus Coach for patient-facing insights.

My projects include a music recommendation pipeline that processed 1.15M+ songs and reduced retrieval latency from 200ms to 0.5ms, and a RAG document intelligence system that processed 10K+ insurance documents with 87% retrieval accuracy.

Experience

Work history, roles, and key accomplishments

Current

AI Intern

Current

Bellcorp Studio

May 2026 - Present (4 months)

Developed an AI-powered elevator modernization visualization pipeline on Azure using object detection, image segmentation, depth estimation, and generative AI. Built automated workflows for realistic panel placement and retrofit simulation from site images.

Python Azure Object Detection Segmentation Generative AI

Research AI Intern

DeaRx Mom

Nov 2025 - Jan 2026 (2 months)

Built predictive models for maternal health forecasting, including a Fertility and Preconception Assessment model and an Ovulation Prediction Engine. Developed an interactive AI Chat Assistant using Ollama for patient-facing insight generation.

Python predictive modeling Feature Engineering Ollama

Machine Learning/Data Science Intern

Parabox

Dec 2024 - Feb 2025 (2 months)

Developed and fine-tuned U-Net models on chest CT scans for lung segmentation and cancer classification using TensorFlow and OpenCV. Collaborated with AI researchers and medical professionals to translate technical outputs into actionable clinical insights.

Python TensorFlow OpenCV U Net Medical Imaging DICOM