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Heetkumar Bhalani is an aspiring AI and Machine Learning Engineer currently pursuing his Master of Engineering in Electrical and Microsystems Engineering at OTH Regensburg. Specializing in Computer Vision and Generative AI, he is currently working on his master thesis at Schölly fiberoptic GmbH, where he is developing an AI-powered surgical guidance system utilizing Vision Transformers and Large Language Models. His practical experience includes benchmarking object detection models for autonomous driving at Fraunhofer IVI and architecting scalable data pipelines using Docker and PostgreSQL. With a technical stack anchored in Python, PyTorch, and Azure, Heet is dedicated to engineering robust AI solutions that solve complex real-world challenges.…Heetkumar Bhalani is an aspiring AI and Machine Learning Engineer currently pursuing his Master of Engineering in Electrical and Microsystems Engineering at OTH Regensburg. Specializing in Computer Vision and Generative AI, he is currently working on his master thesis at Schölly fiberoptic GmbH, where he is developing an AI-powered surgical guidance system utilizing Vision Transformers and Large Language Models. His practical experience includes benchmarking object detection models for autonomous driving at Fraunhofer IVI and architecting scalable data pipelines using Docker and PostgreSQL. With a technical stack anchored in Python, PyTorch, and Azure, Heet is dedicated to engineering robust AI solutions that solve complex real-world challenges.

Heetkumar Mahendrabhai Bhalani

AI Engineer, Data Scientist, Full Stack Developer, +2

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Heetkumar Bhalani is an aspiring AI and Machine Learning Engineer currently pursuing his Master of Engineering in Electrical and Microsystems Engineering at OTH Regensburg. Specializing in Computer Vision and Generative AI, he is currently working on his master thesis at Schölly fiberoptic GmbH, where he is developing an AI-powered surgical guidance system utilizing Vision Transformers and Large Language Models. His practical experience includes benchmarking object detection models for autonomous driving at Fraunhofer IVI and architecting scalable data pipelines using Docker and PostgreSQL. With a technical stack anchored in Python, PyTorch, and Azure, Heet is dedicated to engineering robust AI solutions that solve complex real-world challenges.…Heetkumar Bhalani is an aspiring AI and Machine Learning Engineer currently pursuing his Master of Engineering in Electrical and Microsystems Engineering at OTH Regensburg. Specializing in Computer Vision and Generative AI, he is currently working on his master thesis at Schölly fiberoptic GmbH, where he is developing an AI-powered surgical guidance system utilizing Vision Transformers and Large Language Models. His practical experience includes benchmarking object detection models for autonomous driving at Fraunhofer IVI and architecting scalable data pipelines using Docker and PostgreSQL. With a technical stack anchored in Python, PyTorch, and Azure, Heet is dedicated to engineering robust AI solutions that solve complex real-world challenges.

Available to hire

Heetkumar Bhalani is an aspiring AI and Machine Learning Engineer currently pursuing his Master of Engineering in Electrical and Microsystems Engineering at OTH Regensburg. Specializing in Computer Vision and Generative AI, he is currently working on his master thesis at Schölly fiberoptic GmbH, where he is developing an AI-powered surgical guidance system utilizing Vision Transformers and Large Language Models. His practical experience includes benchmarking object detection models for autonomous driving at Fraunhofer IVI and architecting scalable data pipelines using Docker and PostgreSQL. With a technical stack anchored in Python, PyTorch, and Azure, Heet is dedicated to engineering robust AI solutions that solve complex real-world challenges.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Advanced

German

Intermediate

Hindi

Fluent

Gujarati

Fluent

Work Experience

Master Thesis Student - AI in Medical Imaging at Fraunhofer IVI Technologies and Tools

October 1, 2025 - October 1, 2025

Engineered an AI pipeline for medical imaging, focusing on time-resolved imaging, vision transformers, and motion correction for real-time flow analysis. Topics include AI Vision Based Computational Pipeline for Flow and Perfusion Analysis from Time-Resolved ICG Fluorescence Imaging.

Working Student - Machine Learning & Computer Vision at Fraunhofer IVI Technologies and Tools

March 1, 2025 - March 1, 2025

Benchmarked deep learning object detection models (YOLO, RCNN) based on inference time and accuracy metrics; boosted prediction accuracy for autonomous driving classes; architected scalable Postgres/Docker system to query large sensor data; built data pipelines for perception model development.

Executive - Procurement & Analytics at Torrent Power Ltd.

August 1, 2023 - August 1, 2023

Performed predictive cost analysis using machine learning methods (regression, time-series forecasting) to identify cost-saving opportunities for negotiation.

Master Thesis Student - AI Imaging at Schölly Fiber Optics GmbH

May 1, 2025 - October 1, 2025

AI imaging master thesis with PyTorch, TensorFlow, OpenCV; built end-to-end performance analysis pipeline; developed AI-powered surgical guidance system using TransUNet (Vision Transformer) for vessel segmentation (87% mDice) and real-time motion tracking at 15 FPS; reduced annotation time from 45 minutes to 2 seconds.

Working Student - Machine Learning & Computer Vision at Fraunhofer IVI

September 1, 2024 - March 1, 2025

Benchmarked deep learning object detection models (YOLO, RCNN) based on inference time and accuracy metrics; boosted prediction accuracy for autonomous driving classes using adaptive training techniques; architected a PostgreSQL/Docker system to efficiently query 2 TB of sensor data (16 cameras) for CV workflows; developed data pipelines to prepare and evaluate raw camera sensor data for perception model development.

Executive - Procurement & Analytics at Torrent Power Ltd

July 1, 2021 - August 1, 2023

Performed predictive cost analysis using machine learning methods (regression, time-series forecasting) to identify cost-saving opportunities for negotiation; acted as domain expert between procurement and ML teams, guiding feature engineering and validating model outputs.