Gen AI Engineer @ Outlier AI — May 2025 – Aug 2025
Designed core evaluation rubrics to measure quality & consistency of generative AI outputs, improving model performance by identifying and closing data gaps.
Hi, I’m Shreyas Shashi Kumar Gowda, an AI engineer passionate about building, researching, and discovering new approaches at the frontier of artificial intelligence. I thrive on solving hard problems and pushing what's possible with smart systems.
My most impactful work lies at the intersection of generative AI and temporal data designing models that can reason, predict, and act based on time, sequences, and evolving context.
My journey has been grounded in a dual degree education BSc in Data Science from IIT Madras and a BE in Computer Science from BMSIT&M. This foundation led me to roles at Outlier AI and WorldQuant, where I spent over a year engineering evaluation systems for generative models and designing alpha models for financial markets.
Beyond the tech, I care deeply about sharing what I learn whether it’s through open-source projects that simplify tough problems or helping fellow builders grow in their AI journey.
Python, C++
PyTorch, TorchVision, TorchAudio, Scikit-learn, Hugging Face
Transformers, GANs, Diffusion, RLHF
Temporal RAG, Graph-RAG, Agentic AI Design, Quantitative Analysis, Multimodal Systems, Post-training, Model Optimization
Designed core evaluation rubrics to measure quality & consistency of generative AI outputs, improving model performance by identifying and closing data gaps.
Designed/optimized high-impact alpha models; improved Sharpe-adjacent metrics by up to 37% in back-tests.
Languages: English (Fluent) · Kannada (Native) · Hindi (Professional) · Telugu (Conversational)
Interests: space research, AI ethics, automobiles, horse riding, travel