Akarsh Gupta Email & Phone Number

San Francisco, Ca, Us

San Francisco Bay Area

Seattle, Washington, United States

▪ Developed large-scale data clustering methods using novel distance metrics. Employed advanced mathematical techniques to distill and quantize large neural models, boosting inference speeds by approximately 80% while ensuring computational efficiency.▪ Engineered and delivered end-to-end machine learning (ML) and natural language processing (NLP) solutions, encompassing question answering, semantic understanding, text similarity analysis, sentiment and emotion analysis, and expressive summarization techniques utilizing several different models like GPT, Bert, MPT, Falcon. Enhanced performance by approximately 150% on a specially curated proprietary dataset.▪ Contributed significantly to the development of the company's topic modeling principles and spearheaded an embedding fine-tuning project, ensuring model alignment and substantially improving the precision and relevance of content categorization and discovery.▪ Designed and implemented a robust and efficient "alerting" solution that effectively monitors and notifies stakeholders of critical events and anomalies.▪ Leveraged Kubernetes, Kubeflow, and Docker to architect and streamline machine learning workflows, ensuring efficient resource utilization, seamless deployment, and robust management of models at scale.▪ Collaborated seamlessly with cross-functional teams, including software engineers, data scientists, and product managers, to establish project objectives, prioritize tasks, and drive the development of the product.

Greater Detroit Area

Teaching Assistant for the course 'Spacecraft Dynamics' (Fall 2020)Teaching Assistant for the course 'Linear Systems Theory' (Winter 2020)

Bangalore, India

I worked in the Experimental Aerodynamics Division at National Aerodynamics Laboratories. I got to learn some experimental techniques used in the flow analysis like Schlieren, Particle Image Velocimetry(PIV) etc. Also learnt how to do literature survey.

Master Of Science - Ms

Coursework: Machine Learning, Deep Learning, Reinforcement Learning, Statistical Learning Theory, Convex Optimization, Probability.

Bachelor’S Degree, Aerospace, Aeronautical And Astronautical/Space Engineering

Branch rank 2