Abhay Bhandarkar - Experience

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Experience

A summary of my professional experience, research positions, and internships.

	ACM Summer Uplink Intern, Business Guest ACM IKDD (under Dr. Vineeth N Balasubramanian), Microsoft Research India April 2025 - Present Conducting foundational research in generative modeling, focusing on the theoretical underpinnings and practical applications of Diffusion Models. Implemented and experimented with state-of-the-art diffusion architectures for image synthesis and editing tasks. Appointed as a Business Guest at Microsoft Research Bangalore to contribute to Microsoft Tools.
	Samsung PRISM Elite Intern Samsung PRISM, India \| Bengaluru, India January 2025 - Present Engaged in advanced research and development on a proprietary Distributed LoRA system for defence applications. All work performed is confidential and protected under a Non-Disclosure Agreement (NDA).
	AI Research Fellow Pradhi AI Solutions, India \| Remote March 2025 - August 2025 Conducting advanced research into scalable AI architectures and novel machine learning models in voice intelligence. Collaborating with a team of senior developers and writing production grade code with meticulous testing.
	Data Science Intern Altqube, India (Product Team) January 2024 - April 2024 Developed a YOLOv8 model for detection of Lumpy Skin Disease in cattle with 96% accuracy. Devised a pipeline for Oriented Bounding Box format to analyze rice grain quality in an industrial setting. Implemented a pipeline for training medical images with Nomic AI Vision Embedding model. Annotated 600+ images with multi-label bounding boxes on Roboflow to facilitate robust YOLOv8 training.
	Project Intern Indian Space Research Organization (ISRO) LEOS (Laboratory for Electro-Optics Systems) March 2023 - August 2023 Contributed to LiDAR point cloud analysis for an autonomous docking project (classified). Applied computer vision algorithms for spatial mapping and object recognition in spacecraft systems. Implemented optimizations for real-time processing of sensor data in resource-constrained environments.
	Machine Learning Intern Crisant Technologies (Karnataka Government Transliteration Project) 2023 - 2024 Assisted with transliteration from English to Kannada for streamlined documentation for the Karnataka government. Fine-tuned Google-MT5 base model for improved transliteration via transformer-based approaches and achieved 74% accuracy. Developed evaluation metrics for assessing translation quality and measuring improvements.