Premnath Shenoy Email & Phone Number

Pittsburgh, Pa, Us

Pittsburgh, Pa, Us

- Continuous and robust optimization methods in Python, Julia, R, and Gurobi- Fine-tuning large language models using PyTorch and Pitt's HPC cluster- Reinforcement Learning: Markov Decision Processes and approximate Dynamic Programming

Santa Clara, California, Us

- Research and development of Federated Learning algorithms for AMD's Ryzen AI Engine organization- Training and fine-tuning of Deep Learning models in Python and C++ using PyTorch, Libtorch, Flower, and TensorFlow Federated- Literature review of research papers in Machine Learning, Distributed Systems, Differential Privacy, Quantization, and Hardware Acceleration

Seattle, Wa, Us

- Developing and maintaining infrastructure for Project Kuiper, an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO) to bring fast, affordable broadband to unserved and underserved communities around the world.- Languages: Python (Boto3), TypeScript (CDK), NodeJS.- Services: Amazon Federate, AWS Config, AWS Systems Manager, IAM, Cognito, S3, SNS, SQS, SES, EC2, EBS, Lambda, DynamoDB, API Gateway, AppStream 2.0, DataSync, FSx, CloudWatch, CloudTrail, Elastic Beanstalk, Athena, Glue, Redshift, QuickSight, Amplify, AppConfig, Certificate Manager, EFS, Storage Gateway, Secrets Manager.- Jira, Confluence, Bitbucket, Bamboo, VMWare.

Menlo Park, Ca, Us

- Developing infrastructure and tools for the Machine Perception Services team in the Reality Labs Research Surreal organization.- Adding incremental features for Augmented Reality glasses to enhance processing of motion sensor data using C++ and Python.- Collaborating with researchers on engineering tasks in preparation for CVPR 2022.- Configuration of various AWS resources as part of third-party vendor and academic partner workflows.- Creating a web application for a three-dimensional bounding box annotation tool using Python, Flask, SQLite3, ReactJS, and Material UI.

Salt Lake City, Ut, Us

- Developing and maintaining back-end infrastructure in Java for micro-services to curate and analyze various merchandise under the Merch and Vendor Experiences organization’s Events team.- Improving application performance monitoring techniques (telemetry) for Event Analyzer service.- Services: BigQuery, OpenSearch, Logstash, Kibana, Grafana, CloudWatch, SNS, SQS, Kinesis, API Gateway, Lambda, EventBridge, MongoDB, ElastiCache, S3, Datadog, Splunk, Elastic Kubernetes Service, Terraform, DynamoDB, RabbitMQ, Route53, Docker, GitLab, Maven, Jumpbox, MariaDB, and Codahale.

Seattle, Wa, Us

- Developing and maintaining Amazon's serverless query engine, Athena.- Mentored a group of Solutions Architect, Software Development Engineer, Product Design, User Experience, Business Intelligence Engineer, and Hardware Engineer interns as part of the Intern Circles program.- Automating database management tasks to handle support tickets using Python, SQL, Lambda, Redshift, and Identity & Access Management (IAM).- Created CloudWatch dashboards to analyze important statistics such as query runtime and concurrency using Java.- Launching infrastructure in air-gapped data centers.- Mentored and helped onboard newly hired software engineers.

Ann Arbor, Michigan, Us

- Reinforcement Learning reading group: Introduction to Reinforcement Learning by Barto and Sutton.- Implementation of Q-learning, SARSA, and Prioritized Sweeping algorithms in Python.- Final presentation on summarizing a research paper connecting information theory with reinforcement learning.

Seattle, Wa, Us

- Created a serverless conversational chatbot using AWS cloud services such as Lex, Lambda, Polly, DynamoDB, Simple Storage Service (S3), CloudWatch, and Simple Email Service (SES).- Lambda functions written in Python and user interface using JavaScript and HTML.

Ann Arbor, Michigan, Us

- Literary analysis of papers on prediction markets and information theory and the applications of machine learning and probabilistic modeling in economics.- Implementation of logarithmic market scoring rule (LMSR)-based prediction markets in Python.

Los Angeles, Ca, Us

- Conducted computational mathematical research which involved image analysis using MATLAB and FIJI and wrote a paper on the morphological measures of hyphal network in Neurospora crassa in UCLA’s myco-fluidics laboratory.- Inference: Hyphal networks of fungi are sensitive to environmental stimulus and there was a significant change in the geometry of the network when the media was treated with the antibiotic, Cycloheximide.

Doctor Of Philosophy - Phd, Operations Research

Master Of Science - Ms, Applied And Computational Mathematics

Bachelor Of Science (Bs), Computer Science, Data Science, Mathematics, And Statistics