# Arjun Agarwal > Creator Location: New York, New York, United States Profile: https://flows.cv/arjunagarwal I am a recent Georgia Tech grad in CS and Math ## Work Experience ### Software Development Engineer @ Amazon Jan 2024 – Present | New York City Metropolitan Area ### Researcher and Data Analyst @ CNote Jan 2023 – Jan 2024 • Scraped webpages using Selenium and did statistical analysis on the aggregated financial datasets using Pandas, Numpy to mainstream visualizations in Plotly thus leading to financial insights impacting decisions worth $10 million • Created an ETL pipeline in AWS Glue to pre-process part of the scraped dataset and uploaded to Metabase for customer facing interaction thereby reducing time usage 10-fold while precluding human involvement • Built and trained CNN based ML architecture in Pandas and Numpy to predict future movements in loan rates and other data to use in sales pitches to increase business proposition of the company thereby generating 50% more sales ### Researcher/ Dev Ops Intern @ Keyspace Studio Jan 2023 – Jan 2023 | Atlanta, Georgia, United States Working multiple roles first as a researcher and then as a dev ops intern, I learnt a great deal about the challenges Web3 faces in this modern world while exploring solutions to some of those problems. ### SDE Intern @ Amazon Jan 2023 – Jan 2023 | New York, United States • Integrated Anthropic Claude LLM model into Amazon’s internal system to detect defects to enhance G2S2 database • Constructed a pipeline to pre-process data and do prompt engineering for the LLM in AWS Bedrock in Python • Crafted the architecture for querying the LLM using AWS Lambda, Step functions, S3, API Gateway in CDK typescript while achieving high scalability as demonstrated by the integration of new defect types in 1/50th time • Interfaced with customer to build an interactive UI for easy access to the pipeline using React, Javascript, JSON in Harmony thus enhancing the user experience/time for defect detection by a factor of 7 while allowing layman usage ### Teaching Assistant for CS 4641 - Machine Learning under Dr. Roozbahani @ College of Computing at Georgia Tech Jan 2022 – Jan 2023 | Atlanta Metropolitan Area • Wrote and graded ML theory and programming assignments for 700+ graduate and undergraduate students • Helped guide, provide feedback, and grade semester-long group projects focused on applying ML to various fields ### Business Analyst @ Consult Your Community - Georgia Tech Chapter Jan 2022 – Jan 2023 | Atlanta, Georgia, United States • Helping City of Refuge automate and effectively map out the establishment for optimal work order management. • Consulting The Blue Dove Foundation on ways to increase revenue stream and product launch strategies ### Client Acquisition and Success team @ Consult Your Community - Georgia Tech Chapter Jan 2021 – Jan 2022 | Atlanta, Georgia, United States ### VIP Researcher - Intelligent Design Communications @ Georgia Tech VIP Program Jan 2022 – Jan 2023 | Atlanta, Georgia, United States • Optimised Neural Networks and Faster RCNNs by reducing resource consumptions by 80% while retaining performance to deploy on FPGA using Vivado and AXI4 pipeline for faster inference of signals • Co-authored a research paper submitted to PIMRC detailing the pipeline and the unique testbed ### Software Application Developer Intern @ ADP Jan 2022 – Jan 2022 | Alpharetta, Georgia, United States • Developed full stack end to end infrastructure for new a EOI page in Spring MVC-based environment employing Java, SQL with Oracle database, React, JavaScript, JSON solving a major information problem • Enhanced the usability of the product by adding accessibility features adhering to the latest WCAG standards which are expected to result in contracts worth $40 million for the company • Expanded EOI functionality by tracing internal data to design Splunk dashboard and queries reducing time 2-fold ### Vice President @ Big Data Big Impact @ Georgia Tech Jan 2021 – Jan 2022 | United States Facilitate operations of the club by coordinating various events throughout the semester ### Data Analyst @ Big Data Big Impact @ Georgia Tech Jan 2021 – Jan 2022 | Atlanta, Georgia, United States ### Research Assistant @ NerDS Lab - Neural Data Science Jan 2021 – Jan 2022 | Atlanta, Georgia, United States • Analyse neurological data using deep learning CNN and MLP to discover statistical correlations between the functioning of various areas in Alzheimer’s and healthy brain elicited by stimuli acting on the body • Implemented using TensorFlow, NumPy, scikit, and Matplotlib libraries, achieved an accuracy of 92% ### Marketing for Asia @ Young Scientists Journal Jan 2020 – Jan 2020 | India ### Chief-of-Production @ Infinity Magazine Jan 2019 – Jan 2020 | Dehradun, Uttarakhand, India ### Senior Editor @ Infinity Magazine Jan 2018 – Jan 2019 | Dehradun, Uttarakhand, India ### Associate Editor @ Infinity Magazine Jan 2017 – Jan 2018 ### Correspondent @ Infinity Magazine Jan 2016 – Jan 2017 | Dehradun, Uttarakhand, India ### Technology Intern @ Sensorise Digital Services Private Limited Jan 2018 – Jan 2019 | Delhi, India • Assisted full-time employees in IoT, and cloud functionalities using AWS and Eclipse • Designed ideas and proposals for smart trackers in public transport (as required by the Indian government RFPs) that were used in developing and testing the final product ## Education ### Bachelor of Science - BS in Computer Science and Mathematics Georgia Institute of Technology Jan 2021 – Jan 2024 ### International Baccalaureate Diploma Programme in IBDP The Doon School Jan 2014 – Jan 2020 ## Contact & Social - LinkedIn: https://linkedin.com/in/arjun8302 --- Source: https://flows.cv/arjunagarwal JSON Resume: https://flows.cv/arjunagarwal/resume.json Last updated: 2026-03-23