# Pavan Kumar Surpaneni

> SDE-2@AWS | BITS PILANI | Microsoft | Columbia University. Experienced software engineer with 5+ years building highly scalable software. Actively looking for new job opportunities

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/pavan

Experienced software engineer with a strong background in full-stack development, machine
learning, and cloud computing. Worked in Technology and Finance, focusing on active software
development, performance improvements, reducing bugs and improving coverage

## Work Experience
### Software Engineer 2 @ Amazon Web Services (AWS)
Jan 2024 – Jan 2026 | Greater Seattle Area

### Founder Fellow @ On Deck
Jan 2023 – Jan 2024 | San Francisco Bay Area

### Startup Founder & Chief Technology Officer @ Stealth Startup
Jan 2023 – Jan 2024 | San Francisco Bay Area
Reimagine HrTech in the AI world, in a stealth mode to disrupt the HrTech giants, announcements coming soon

### Software Engineer @ Microsoft
Jan 2021 – Jan 2023
Developed C#, .NET, React & Angular based Web Applications to enable customer account
managers increase Azure Products & Services sales by 28%
Improved performance of key Micro-Services by increasing Rest API & Graph QL queries
performance by 15% resulting in better user experience
Implemented database migration from Azure Cosmos Graph DB to SQL
Implemented UX simplification project improving customer satisfaction by 32% using React

### Quantitative Researcher @ SCT Capital Management
Jan 2018 – Jan 2020 | New York City Metropolitan Area
Built Machine Learning based Quantitative Strategies to trade 350 Million USD on financial markets

Used Alternative Data Sets such as social media sentiment, weather forecast & credit card data to create quant strategies based on alternative data in addition to macro-economic, news releases data 

Built back-testing platform to backtest Quantitative trading ideas

### Quant Research Intern @ Exante Data
Jan 2017 – Jan 2017 | New York City Metropolitan Area
Developed & deployed Python based factor model library to explain 92% of currency returns
Used Python to scrape large dataset of tweets and applied Machine Learning models

### Futures Trader, Commodities @ Futures First Info. Services Pvt. Ltd.
Jan 2012 – Jan 2014 | Greater Hyderabad Area
Developed software & research tools to support trading desk dealing with trading commodities futures on global exchanges
Used Python to design and develop interfaces & libraries for analyzing financial market price and fundamental data

### Summer Intern, Equity Research @ ZEN SECURITIES LTD.
Jan 2011 – Jan 2011


## Education
### Master's in Mathematics
Columbia University
Jan 2016 – Jan 2017

### Online Certificate in C++ for Financial Engineering
Baruch College
Jan 2015 – Jan 2016

### Bachelor of Engineering (B.E.) in Civil Engineering
Birla Institute of Technology and Science, Pilani
Jan 2008 – Jan 2012


## Contact & Social
- LinkedIn: https://linkedin.com/in/pavansurpaneni

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Source: https://flows.cv/pavan
JSON Resume: https://flows.cv/pavan/resume.json
Last updated: 2026-03-22