# Aman Kumpawat > GTM @ FlexAI Location: Santa Clara, California, United States Profile: https://flows.cv/amankumpawat ## Work Experience ### GTM Engineer @ FlexAI Jan 2026 – Present | Santa Clara County, California, United States ### Research Scientist, Associate @ Parsons Corporation Jan 2024 – Jan 2025 | Pasadena, California, United States Parsons supports defense and R&D programs across AI and national security. My work focuses on large-scale language model infrastructure and retrieval systems for classified and unstructured government data. • Build and deploy distributed LLM pipelines for DoD research environments using Python, gRPC, and containerized workflows. • Develop data extraction and retrieval systems that transform unstructured text into structured, searchable formats. • Optimize RAG and model-tuning pipelines to improve performance, reliability, and clarity for high-security applications. • Work across multi-node compute and cloud environments to streamline access and inference at scale. • Supported end-to-end data collection and validation workflows for large-scale systems, ensuring data integrity, traceability, and repeatability across testing runs. Languages and Tools Utilized: Python, C++, React, gRPC, CUDA, Singularity, RAG Pipelines, Multi-node HPC Systems ### Data Scientist Intern @ Parsons Corporation Jan 2024 – Jan 2024 | Aberdeen Proving Ground, Maryland, United States Contributed to DoD AI infrastructure development and benchmarking on national supercomputing clusters. Focused on optimizing large language model inference and distributed compute efficiency across diverse architectures. • Supported dataset organization, labeling, and versioning to maintain consistency across repeated experiments and benchmarking runs. • Adapted LLM inference to CPU-centric high-performance computing environments using frameworks like GGML and Llama.cpp. • Benchmarked and tuned LLM performance on supercomputers Chessie (ARL) and Narwhal (Navy DSRC), reducing processing time by up to 40%. • Tested and profiled model performance across Apple Silicon and DoD HPC clusters to identify optimal CPU/GPU configurations. • Developed containerized pipelines using Singularity, integrating GitLab, Jupyter, and VSCode within Linux VMs for reproducible experiments. • Designed multi-node setups leveraging gRPC for distributed communication and analyzed the efficiency of memory-sharing techniques under load. Languages and Tools Utilized: Python, C++, gRPC, Llama.cpp, GGML, Singularity, GitLab, HPC Systems (Chessie & Narwhal) ### Software Development Intern @ Connected Signals Jan 2023 – Jan 2023 | Irvine, California, United States Contributed to the development and optimization of software for connected vehicle infrastructure systems integrating real-time data and sensor communication. • Collaborated with senior engineers to design, implement, and test production-grade software modules in Python and C++. • Conducted structured hardware–software testing under varied operating conditions, documenting system behavior and collected data for validation. • Worked across front-end (HTML, React prototypes) and back-end (Python APIs) development to improve application performance and reliability. • Developed internal tools and visualization dashboards for data interpretation and system debugging. • Created user-facing prototypes and interface layouts using Figma and Adobe Suite to enhance clarity and user experience. • Supported testing and firmware integration for the V2I (Vehicle-to-Infrastructure) communication platform. Languages and Tools Utilized: Python, C++, React, HTML, Figma, Adobe Suite, REST APIs, Connected Vehicle Systems ### Bio-Engineering Researcher & Data Analyst @ Whittier College Jan 2022 – Jan 2023 | Whittier, California, United States Conducted interdisciplinary research at the intersection of bioengineering, data science, and environmental modeling. Focused on designing growth experiments and automating data workflows for improved reproducibility. • Analyzed and visualized multi-sensor datasets using Python and C++ to model environmental and biological responses. • Built and maintained web dashboards for the Science Department to track and display live research metrics. • Performed cost and resource analyses for faculty projects to optimize budget allocation and experiment efficiency. • Supported cross-department collaborations between the Environmental Science and Biology Divisions. Languages and Tools Utilized: Python, C++, React, Next.js, MySQL, Pandas, Scientific Visualization Tools ### Arthur Vining Davis Undergraduate Summer Research Fellow @ Whittier College Jan 2021 – Jan 2021 | Whittier, California, United States Led eco-engineering research focused on sustainable coffee cultivation and soil-health modeling in Southern California. • Designed and executed controlled growth experiments analyzing soil composition and plant bio-responses. • Performed hands-on laboratory and field work involving sensors, environmental controls, and repeated measurements to support controlled experiments. • Collected and processed biological data using Python and Excel to model yield optimization and growth efficiency. • Achieved a 40 kg coffee-bean yield across 64 plants through precision cultivation and environmental controls. • Compiled and presented research findings to faculty collaborators and regional agricultural partners. Languages and Tools Utilized: Python, Excel, Data Visualization Tools, Scientific Documentation Methods ### Medical Assistant at Stanford Arbor Free Clinic @ Arbor Free Clinic, Stanford School of Medicine Jan 2020 – Jan 2020 | Redwood City, California, United States Supported patient intake and clinical operations at Stanford’s free community health clinic serving underserved populations. • Completed over 100 patient check-ins, recording vital signs including temperature, pulse, respiratory rate, oxygen saturation, and blood pressure. • Shadowed physicians and Stanford medical students to observe diagnostic workflows and patient communication. • Assisted with basic triage procedures and maintained accurate patient documentation to ensure continuity of care. Skills Applied: Patient Interaction, Clinical Data Recording, Medical Documentation, Team Collaboration ## Education ### Bachelor of Arts - BA in Engineering - Computer Science and Applied Mathematics Whittier College ## Contact & Social - LinkedIn: https://linkedin.com/in/aman-kumpawat - Website: https://github.com/amankumpawat --- Source: https://flows.cv/amankumpawat JSON Resume: https://flows.cv/amankumpawat/resume.json Last updated: 2026-04-05