# Jigyasa Gupta > Software Engineer | HP IQ, Amazon, Snap Inc., DRDO, Pega | Grad@CMU | Women In Tech | GSoC’23 Location: United States, United States Profile: https://flows.cv/jigyasa 'Articulation of Thoughts' is what I believe in. Software Engineer with a vision to build products that matter. Meeting and connecting to inspiring people is my newfound passion. ## Work Experience ### Software Engineer @ HP IQ Jan 2026 – Present | San Francisco Bay Area ### Software Engineer (Practicum Project) @ Snap Inc. Jan 2025 – Jan 2025 | Pittsburgh, PA • Built a native C++ AR desktop streaming app for Snap Spectacles using and SnapOS NDK, enabling wireless connection to a host computer and streaming high-quality video at 30+ FPS in an immersive virtual environment. • Implemented Bluetooth input support with latency under 100ms for seamless remote control of desktop tasks from Spectacles. • Integrated graphics framework to render a responsive virtual desktop up to 1200x800 pixels user’s field of view. • Led a team of 6 engineers that authored SDLC related technical documentation, collaborating with 4 Snap engineers to address developer challenges and risks. ### Graduate Teaching Assistant @ Carnegie Mellon University Jan 2025 – Jan 2025 Coding Bootcamp - Python, Interviewing Agile Methodologies & Product Management ### Software Dev Engineer Intern @ Amazon Jan 2025 – Jan 2025 | Seattle, Washington, United States • Innovated a Model Context Protocol(MCP) server support for RDS Postgres and Aurora Postgres with 2 open-source LLM tools. • Enabled connection pool for Postgres server for multi-client support upto 30 concurrent requests with existing connections. • Engineered a pipeline for LLM-driven testing for incoming open-source commits(upto 20 requests), with checkpoints to automate query plan management tests for Aurora Postgres, improving developer productivity by 20%. ### PLUS Tutor @ PLUS - Personalized Learning Squared Jan 2025 – Jan 2025 ### Associate System Architect Intern @ Pegasystems Jan 2024 – Jan 2024 | Bengaluru, Karnataka, India • Led a team to develop a Cross-Platform Key Management app, streamlining logistics, reducing user processing time by 40%. • Developed a full-stack Canteen Management application to minimize queue time by 80%, facilitating REST API queries. • Simplified payment integrations that are functional across 2 platforms- mobile and web, that leverages Pega Cloud’s distributed storage to enable real-time parallel requests of over 300 users per millisecond. • Achieved the milestones of Certified System Architect and Senior System Architect within 2 months, grasping concepts of database management, DevOps, Object Oriented Programming, web services and application development. • Adopted Agile methodologies for iterative development with feedback-fed system function optimization. ### Research Intern @ Defence Research and Development Organisation (DRDO) Jan 2023 – Jan 2023 | Bengaluru, Karnataka, India • Initiated implementation of the Digital Twin modelling of the human gut using explainable AI, BERT language model/LLMs in deep learning and MongoDB to gauge over 428,000 microbiome factors. • Surveyed and evaluated estimator performance of 10+ datasets using Python libraries like scikit-learn and NumPy that increased the accuracy of gut-absorption model prediction to 94%. • Spearheaded an intern-initiative of 10 members to model a comprehensive interpolation and visualization of oxygen plots at high altitudes, improving physiological monitoring of pilots by 26%. ### Open Source Contributor @ Google Summer of Code Jan 2023 – Jan 2023 Open source contributor at NRNB(National Resource for Network Biology) for clusterProfiler project • Engineered support for Pathway Commons Database(v12) in R-based tool,clusterProfiler, augmenting user-base by 72%. • Collaborated with 8 global contributors cross-functional team to implement a method for data analysis of Bioinformatics data, improving package reliability by 40% as compared to other methods of visualization and allowing 24/7 versioning of their work. • Integrated advanced debugging scripts tailored for data science to enable user support, accelerating package download time(3x). • Addressed and resolved 40+ open-sourced issues reported by users in 2020, facilitating 48% faster visualizations. ### Intern @ Brane Enterprises Pvt Ltd Jan 2022 – Jan 2023 • Implemented SpringBoot based custom modules for messaging, 24/7 alert features and payments for 10,000 clients/sec. • Streamlined user authentication by implementing Google Firebase-based phone number login, reducing login time by 40% and enhancing user experience compared to traditional email/password methods. • Migrated the 100+ manual test cases to Automated API Testing using Postman saving 300+ man-hours testing per module. ### Mentor - Kharagpur Winter of Code @ Indian Institute of Technology, Kharagpur Jan 2021 – Jan 2022 ### Mentee @ Indian Institute of Technology, Kharagpur Jan 2021 – Jan 2022 ## Education ### Masters of Software Engineering-Scalable Systems in Computer Software Engineering Carnegie Mellon University School of Computer Science ### Bachelor of Engineering - BE in Computer Science and Engineering Dayananda Sagar College of Engineering, BANGALORE ### 12th GRADE VIDYA BHARATI CHINMAYA VIDYALAYA ### School in 10th GRADE Vidya Bharati Chinmaya Vidyalaya ## Contact & Social - LinkedIn: https://linkedin.com/in/jigyasag1121 - Portfolio: https://www.buymeacoffee.com/jigyasatat0 - Portfolio: https://medium.com/@jigyasatata_23607 - Portfolio: https://topmate.io/jigyasa_gupta --- Source: https://flows.cv/jigyasa JSON Resume: https://flows.cv/jigyasa/resume.json Last updated: 2026-04-10