# Anoop Reddi > SWE @ JPMC Location: United States, United States Profile: https://flows.cv/anoopreddi ## Work Experience ### Software Engineer @ JPMorganChase Jan 2024 – Present working on integrating LLMs ### Founding Engineer @ Nophin (YC W22) Jan 2023 – Jan 2024 | New York City Metropolitan Area Engineering across the board: * Helped develop custom OCR extraction model to extract data from hundreds of financial and rent-roll documents in the commercial real estate industry * Engineered ETL pipelines to collect, process, and analyze datasets from rent-roll documents and financial statements; streamlined data flow and ensured data quality * Implemented a custom AI editor, similar to Notion, but exclusively for commercial real estate investors; responsible for full-stack implementation (front-end, backend, AI) to enable intelligent features such as (auto-completion, improving writing, “Ask AI”, etc.) * Prototyped and experimented with new AI technologies and features, mostly with RAG techniques such as agents, reranking & filtering, fusion retrieval, for document search/retrieval * Cross-collaborated with various engineers and designers, conducted extensive user research + analysis, helped put out multiple “fires” across product, led design decision related to website/product, and everything else that comes with an early-stage startup ### Software Engineer @ Pelican Jan 2023 – Jan 2023 | New York City Metropolitan Area I oversaw the design and execution of LLMs on Pelican's platform. I built the quiz product feature from scratch to launch, leveraging RAG to optimize user matches with 529 education investment funds. I managed both front-end and back-end components of the crowdfunding platform, including implementation of scaleable back-end/database system, JSON-based APIs, etc. ### Research Engineer @ Epsilon (YC W23) Jan 2023 – Jan 2023 | New York City Metropolitan Area I experimented with a range of both open-source and closed-source Language Model (LLM) solutions, aiming to optimize the code review workflow. These models include GPT-3.5/4, Falcon, Llama, Mosaic's MPT, etc. I developed a series of features aimed at discerning subtle low-context code modifications. This encompassed tasks such as bug detection, formatting discrepancies, and enhancing overall code elegance and efficiency. Overall, I learned about the current capabilities/limitations of open-source and closed-source LLMs (unique strengths/weaknesses, output quality, reliability, etc). ### Research Engineer - Retinal Prosthesis @ Brown University Jan 2021 – Jan 2022 | Providence, Rhode Island, United States Currently, electrode-based retinal implants are severely limited in the restoration of vision loss. These implants are highly-invasive, limited in resolution, and degrade in utility overtime. My lab is developing a novel, minimally-invasive retinal prosthesis to overcome such limitations and stimulate retinal neurons to restore vision in blindness. This system uses gold nanorods (AuNRs) and near-infrared (NIR) light to activate retinal neurons by causing temperature changes in the neuronal membranes. The lab is using a custom experimental setup to validate the photothermal activation of retinal neurons ex-vivo. An important aim in the ex-vivo validation is to determine the number of RGCs activated per unit time by analyzing the images taken by the camera. The imaging system captures ~1000 retinal neurons, and it is very challenging, if not impossible, to manually identify individual cells and obtain their time traces, especially when we have tens of retinal samples and data to analyze. My work focused on implementing various image segmentation algorithms that automatically identify individual cells from a grayscale fluorescence image of a retinal explant and comparing their performance. ### Research Engineer @ Systems Neuroscience Institute Jan 2019 – Jan 2020 | Pittsburgh ### Research Assistant @ Visual Neuroscience Laboratory Jan 2018 – Jan 2019 ### Research Intern @ Rehabilitation and Neural Engineering Laboratory Jan 2018 – Jan 2018 | 3520 Fifth Avenue ### Neuroscience Lab Research Assistant @ University of Delaware Jan 2013 – Jan 2014 Prepared rat brain tissue onto microscope slides and analyzed images of gene expression in rat brains. Worked with a graduate student on a project to develop a brain processing and image protocol in a joint project with University of Delaware's Material Science and Engineering Department and Behavioral Neuroscience Lab. ## Education ### MS Brown University Jan 2021 – Jan 2022 ### BA University of Pittsburgh Jan 2014 – Jan 2018 ### Charter School of Wilmington Jan 2010 – Jan 2014 ## Contact & Social - LinkedIn: https://linkedin.com/in/anoopreddi --- Source: https://flows.cv/anoopreddi JSON Resume: https://flows.cv/anoopreddi/resume.json Last updated: 2026-04-01