# Siddhi Bansal

> SWE @ Stripe

Location: San Francisco, California, United States
Profile: https://flows.cv/siddhibansal

I enjoy building products at the intersection of AI, software, and startups. Check out my GitHub to see projects I work on in my free time: https://github.com/siddhi-bansal. Reach me at siddhibansal2604@gmail.com, and feel free to connect!

## Work Experience
### Software Engineer @ Stripe
Jan 2025 – Present | San Francisco, CA
Fraud Engineering; reducing merchant fraud at Stripe by building and improving core fraud intervention systems.

### TLDR IT News Curator @ TLDR
Jan 2026 – Present
News Curator at TLDR IT, a daily newsletter covering IT strategy, information security, and cloud computing with 500,000+ subscribers.

### Forge Startups Director @ Convergent
Jan 2024 – Jan 2025 | Austin, TX
Led a startup accelerator by recruiting and supporting 11 startups and nonprofits, raising $40K for org operations, recruiting 160+ members, and building relationships with 60+ founders through direct outreach. Scoped product, engineering, and design efforts with founders while mentoring leads and members across projects.

### Software Engineer Intern @ Goldman Sachs
Jan 2024 – Jan 2024 | Dallas, TX
Built a full-stack audit log system used by 200+ internal auditors, cutting data retrieval time by 50% and eliminating manual investigation to identify change authors.

### Machine Learning Researcher @ The University of Texas at Austin
Jan 2023 – Jan 2024 | Austin, TX
Worked with Dr. Shyamal Mitra to apply machine learning for stellar temperature estimation across 350,000+ stars, improving accuracy from 61% to 73%; received the UT Austin College of Natural Sciences Award for Excellence in Computer Science and published research in Research Notes of the American Astronomical Society.

### Software Engineer Intern @ Harness
Jan 2023 – Jan 2023 | Dallas, TX
Built and shipped a RAG-powered customer support chatbot used by customers, owning the end-to-end retrieval pipeline and optimizing LLM inference (prompt tuning, model selection, and decoding parameter optimization), improving answer accuracy from 25% to 80% and reducing resolution time by 90%.

### Product Engineering Intern @ Harness
Jan 2022 – Jan 2022
Designed and implemented a Continuous Analytics BI framework for SDLC analysis using Airbyte, Snowflake, and Looker, enabling standardized schemas, metrics, and optimized data applications.

### Revenue Operations & Strategy Intern @ Harness
Jan 2021 – Jan 2021
Automated lead assignment for Territory Development Representatives using Salesforce, Clearbit, Domo, and Planhat, and reviewed industry classification codes to recommend improvements.

### Product Management Intern @ Harness
Jan 2021 – Jan 2021
Developed a Java application for product demos showcasing Feature Flags, designed Looker dashboards by interviewing 20+ users to create detailed visualizations, and presented to C-level executives for feedback


## Education
### Bachelor of Science - BS in Computer Science
The University of Texas at Austin

### The Hockaday School


## Contact & Social
- LinkedIn: https://linkedin.com/in/siddhibansal
- GitHub: https://github.com/siddhi-bansal

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Source: https://flows.cv/siddhibansal
JSON Resume: https://flows.cv/siddhibansal/resume.json
Last updated: 2026-04-10