# Shivanshu Gupta > Shenanigan Wielding Expert (SWE) Location: San Francisco Bay Area, United States Profile: https://flows.cv/shivanshugupta Software Engineer skilled in a wide range of areas with proficiency in peer communication and teamwork, and capable of explaining complex concepts in simple, easy-to-understand terms. ## Work Experience ### Software Engineer @ Stealth Jan 2024 – Present recruiting platform infra jazz and having fun with ai agents :) hehe ### Software Engineer @ Uniphore Jan 2023 – Jan 2024 | Palo Alto, California, United States - Developed a scalable solution to migrate customer data from competitor platforms to our next-generation platform, using Golang and Redis for caching. - Built a QA solution to verify the success of data migrations across a complex backend architecture, ensuring data was available and functional on our platform. - Successfully migrated and quality-checked over one million records from our legacy system to the new platform, achieving 99.99% accuracy and data availability. - Created a deployment bot that integrated our entry-level platform into smaller customers’ infrastructure, leveraging advanced technologies like LangChain, LangGraph, Facebook Llama models, AWS EKS, and NeMo Guardrail with Python. This reduced setup time from two months to just one week. - Mentored junior interns, providing guidance on system design and developing scalable systems for Kubernetes deployment. ### Generative AI Engineer @ Elysium Analytics Jan 2023 – Jan 2023 Implemented Large Language Model (LLM) for Log Data Analysis: Deployed the CodeLlama model on Google Colaboratory to analyze log data and extract actionable insights using SQL on the Snowflake database. This involved setting up the model in a collaborative environment, enabling efficient analysis and reporting. Developed a Semantic Search Space with AWS OpenSearch: Created an embedded vector space using AWS OpenSearch to enhance LLM capabilities. This setup allows the model to query relevant terms based on specific input words, improving the precision and relevance of the responses. Built an AI-Powered Log Data Analyzer: Utilized AWS SageMaker, AWS OpenSearch, Streamlit, and LangChain to develop an LLM for detecting anomalies and identifying root causes (RCA) in log data. This solution enhances troubleshooting processes by quickly pinpointing critical issues. ### Backend Software Engineer App. @ Fetch Jan 2022 – Jan 2023 | Chicago, Illinois, United States Backend development for B2B Partner's platform in Golang - Collaborated with a variety of skilled individuals ranging from product designers to analytical engineers - Created a batch processing system using AWS SQS and AWS SNS to decouple multiple AWS Elastic Beanstalk servers/instances at scale. - Using batch process system aggregated 12K messages to be delivered over various mediums all under 700ms using Golang's concurrency. - Added a login token management system for the platform to allow users to log in through our respective login provider or their own IdP. - Allowed said user access privileges based on roles using the least privilege access model. ### Software Engineering Intern @ Diamond J Dairy Jan 2021 – Jan 2022 | Merced, California, United States Diamond J Dairy came to our university with a request to solve their water conservation problem: Leverage automation to conserve water in soaker areas within the cow pens to replace the current manual process. - Within the water circuit, designed a Python algorithm to open a water valve if it detected livestock in said pen otherwise moves to the next pen and rechecks. - Used OpenCV algorithm along with You Only Look Once's pre-trained model to detect if a cow is present in a pen. - Utilized LabelImg's annotation software along with Google's Colaborator's GPU, I trained cow models specific to Diamond J Dairy Farm. Increasing detection rate by 30%. - Solution was accepted and saved hundreds of gallons of water daily ### Software Intern @ New Star Galaxy Jan 2020 – Jan 2021 | San Ramon, California, United States - Used AWS Glue to Extract Transform and Load 1K rows CSV Data from AWS S3 into AWS RDS MySQL to be queried to solve the business problem of always available scalable data. - Set up AWS Organization, VPC, virtual network components, Security Groups, RDS Instances, Glue Crawlers, and Glue ETL Jobs to establish smooth service usability on AWS QuickSight. ### Engineering Lead @ HackMerced Jan 2019 – Jan 2020 | Merced, California Area Within the Hackathon organization HackMerced I managed a team of 8 people. Taught them core CS workflow and product design concepts. Specifically how to set up their codebase using emerging technologies in creating progressive web applications, following the MongoDB Express ReactJS NodeJS (MERN) stack. In turn being able to be scalable before the annual hackathon in March. ### Research Assistant @ MESA labs Jan 2018 – Jan 2019 Gathered 3D flight data containing RGBD values, corrected, aligned, and overlapped the RGB values with respective Depth values using the ROS Bag2Depth library ### Electronics Team Member @ Target Jan 2017 – Jan 2018 | San Ramon, CA ### Grader @ Eye Level Learning Jan 2017 – Jan 2017 | San Ramon, California ## Education ### Bachelor of Science - BS in Computer Science and Engineering University of California, Merced ## Contact & Social - LinkedIn: https://linkedin.com/in/shiv248 - Portfolio: https://shivgupta.dev --- Source: https://flows.cv/shivanshugupta JSON Resume: https://flows.cv/shivanshugupta/resume.json Last updated: 2026-04-11