Summary
Overview
Work History
Education
Skills
WEBSITES, PORTFOLIOS, PROFILES
Timeline
Generic

Pavankumar Surpaneni

Seattle

Summary

Experienced full-stack engineer committed to delivering impactful solutions, with a focus on customer needs. Leveraged Gen.AI. & Machine Learning to build robust software systems in big tech, I bring versatile technical expertise, product thinking & a passion for delivering impact through adoption of AI & ML

Overview

7
7
years of professional experience

Work History

Software Engineer II

Amazon (DEX AI)
07.2024 - Current
  • Built AI-powered delivery speed and inventory optimization systems, reducing logistics costs and improving nationwide delivery performance across billions in Amazon revenue.
  • Developed ML-driven signals for Search, Ads, and Recommendations, influencing product ranking and customer orders at scale to enhance U.S. consumer access and economic efficiency.

Software Engineer

Microsoft
03.2021 - 05.2023
  • Engineered C#, .NET, React.js full-stack web applications empowering account managers to increase sales
  • Built Gen. AI & LLM based based text analysis system to categorize & label customer tickets to reduce on-call load for the team by 20%
  • Enhanced key micro-services by refining RESTful APIs and GraphQL query performance by 15%
  • Lead the UX simplification project migrating from Angular to React.js, improving NPS by 18%

Software Engineer

SCT Capital Management
03.2018 - 01.2020
  • Built Machine Learning & Artificial Intelligence based trading systems using Neural Networks, Random Forests & other advanced models to find signals in Financial datasets including social media texts, news
  • Developed and deployed scalable web applications using React.js, Redux.js, Next.js, and Typescript, handling trades worth 350 Million USD on financial markets
  • Developed efficient Python libraries integrated with Microsoft SQL Server, enhancing research efficiency by 35% and optimizing trading infrastructure.

Derivatives Analyst

Futures First Info. Services
03.2018 - 01.2020
  • Used Python & Machine learning to analyze financial data to identify patterns & signals for trading global derivative futures
  • Built python based back-testing software framework to test rule-based & Machine learning trading strategies

Education

Master of Arts - Mathematics

Columbia University
New York, NY
12.2017

B.E - Civil Engineering

Birla Institute of Technology And Science
06.2012

Skills

  • Backend: JAVA, GO, Python, C#, NET, AWS, SQL, MongoDB, MySQL, REST API, LLM API’s, Gen AI
  • FrontEnd: Reactjs, Reduxjs, Nextjs, JavaScript, Typescript, Angular, HTML5, CSS3, Bootstrap

WEBSITES, PORTFOLIOS, PROFILES

https://www.linkedin.com/in/pavansurpaneni/

Timeline

Software Engineer II

Amazon (DEX AI)
07.2024 - Current

Software Engineer

Microsoft
03.2021 - 05.2023

Software Engineer

SCT Capital Management
03.2018 - 01.2020

Derivatives Analyst

Futures First Info. Services
03.2018 - 01.2020

B.E - Civil Engineering

Birla Institute of Technology And Science

Master of Arts - Mathematics

Columbia University
Pavankumar Surpaneni