GroupLabs is a software development company with an aim to facilitate cooperative effortsbetween humans, and AI. Involved as a technical lead in all projects. Current worksinvolve:• building k8s cluster for training and inference for large machine learning modelswith PyTorch Distributed,• creating an automated data discovery tool by leveraging graph-basedunderstanding (Neo4J), information retrieval systems (embedding models in Elasticsearch), andcausality algorithms, and• developing distributed compute for heterogeneous device types

Cratic is a new team-building tool that uses advances in AI to leverage culture. It offers leaders a way to increase team performance via break-through insights –without adding more meetings, more distractions or more stress to their lives.Focused on improving group dynamics with AI-powered facilitation.• deployed highly scalable, and performant ML server (in Python/Go) capable of1000s of users in a multi-node cloud environment,• supported CUDA, and ONNX runtimes,• innovated implementation of large language models in production,• developed novel language metrics with sparsified BERT models, and• collaborated with CTO, and senior engineers

Worked on machine learning and analytics for the Environment, Health, and Safety Department by: • Deploying enterprise-wide applications with strict cybersecurity policies. • Applying machine learning algorithms and data science to develop critical insights. • Assisting in large-scale data management operations.

Applied ML algorithms to identify indicators of pre-symptomatic Alzheimer’s and MultipleSclerosis through hyper spectral imaging of blood and cerebrospinal fluid. Built memory-optimized pipelines for training with large file formats (TIFF) in HPC clusters withTensorflow 2.0/Keras.