About me
I'm a Master's student in Data Science at UW–Madison with 4+ years of experience as an AI Engineer at Zoho Corporation, building production systems across Large Language Models (LLMs) and Automatic Speech Recognition (ASR). Most recently I interned at EQSeer, building a multimodal RAG chatbot for an industrial AI knowledge base. I enjoy the full arc, from raw data to deployed models, and care deeply about building tools that are efficient, reliable, and useful to real teams.
What I Work On
LLMs & Multimodal RAG
Multimodal RAG pipelines ingesting video, audio, and images. Large-scale dataset processing and translation pipelines generating hundreds of billions of Indic tokens.
Automatic Speech Recognition
FST-based ITN with NVIDIA NeMo, custom Pynini grammars, transformer-encoder training in PyTorch Lightning, whisper fine-tuning and end-to-end ASR inference service deployment.
MLOps & Tooling
Internal dataset/model management with OAuth, DVC integrations, FastAPI servers with cross-team auth middleware, and Flask demo services.
Currently at UW–Madison
Graduate coursework in deep learning, statistics, and ML. Actively seeking full-time 2027 AI/ML roles in machine learning and deep learning.
Skills
Python PyTorch HuggingFace PEFT / LoRA NVIDIA NeMo Pynini FastAPI Qdrant Docker PyTorch Lightning Whisper NLP ASR LLM Multimodal RAG Data Engineering Linux Slurm
Beyond Tech
I channel my creativity through digital art, sharpen strategic thinking over chess, and stay energized on the tennis court. Curious by nature, exploring diverse interests keeps my problem-solving instincts sharp.
Check out my art page @_g3rt__ on Instagram.
Check out my art page @_g3rt__ on Instagram.