Research Intern
Jan 2026 — Present
Microsoft Research India · advised by Dr. Vineeth N Balasubramanian
- Spearheading foundational research in generative modeling — the theory and applications of diffusion models.
- Developed Pixels to Layers, turning generated infographics into editable assets — Oral + Demo acceptance at CVPR 2026.
- Engineered LEGO (Learned Editable Graphic Outputs), a framework for adaptive infographic decomposition.
- Co-authoring papers currently under submission; a patent is in the process of grant.
ACM Summer Uplink Intern
Jul 2025 — Dec 2025
ACM IKDD · advised by Dr. Vineeth N Balasubramanian
- Foundational research in generative modeling with a focus on diffusion models.
- Implemented state-of-the-art diffusion architectures for image decomposition and editing.
- Appointed a Business Guest at Microsoft Research Bangalore, contributing to Microsoft tools.
Samsung PRISM Elite Intern
Sep 2025 — Apr 2026
Samsung PRISM, India · Bengaluru
- Developing Distributed LoRA systems to enhance parameter-efficient fine-tuning for large-scale models.
AI Research Fellow
May 2025 — Aug 2025
Pradhi AI Solutions · Remote
- Research into scalable AI architectures and novel ML models for voice intelligence.
- Wrote production-grade code with rigorous testing alongside senior developers.
Data Science Intern
Sep 2024 — Nov 2024
Altqube · Product Team
- Built a YOLOv8 model detecting Lumpy Skin Disease in cattle at 96% accuracy.
- Designed an oriented-bounding-box pipeline for industrial rice-grain quality analysis.
- Built a training pipeline for medical images with the Nomic AI Vision Embedding model.
- Annotated 600+ multi-label images on Roboflow for robust training.
Machine Learning Intern
2023 — 2024
Crisant Technologies · Karnataka Government Transliteration Project
- Fine-tuned Google mT5 for English→Kannada transliteration, achieving 74% accuracy.
- Developed evaluation metrics for measuring translation quality.
Project Intern
Mar 2023 — Aug 2023
ISRO LEOS · Laboratory for Electro-Optics Systems
- LiDAR point-cloud analysis for an autonomous docking project (classified).
- Applied computer-vision algorithms for spatial mapping and object recognition.
Program-committee, reviewing and mentoring roles across ML and CV venues.