Hi, I'm
Pratham Khandelwal

bash — 80x24

$ cat summary.txt

I build production-grade software across consumer web, data-driven products, and scalable backend systems. My experience spans shipping real-user applications, intelligent data products like forecasting and recommendations, and infrastructure that supports performance at scale. I thrive in fast-moving teams where experimentation, ownership, and real-world impact matter, and I’m actively pursuing 2026 New Grad Software Engineering roles.

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Pratham Khandelwal

Experience

Gptfy

Software Engineering Intern

Gptfy

June 2025 – Aug 2025

Naperville, IL, USA

  • Reduced enterprise data migration timeline from ~1.5 years to under few hours by designing an intelligent automation pipeline that processed and validated millions of legacy records into Salesforce using Python, Playwright, PyAutoGUI, and OpenAI Vision API.
  • Boosted migration accuracy to 98%+ by integrating AI-driven screenshot parsing and real-time validation logic, minimizing manual intervention and cutting operational overhead.
  • Delivered a scalable, cross-platform automation framework with 99% uptime, incorporating automated error recovery, robust orchestration, and one-click deployment—successfully adopted by multiple Fortune 500 enterprises.
Pencil Spaces

Software Engineering Intern

Pencil Spaces

May 2024 – Aug 2024

San Francisco, CA, USA

  • Developed interactive online teaching tools using ReactJS, HTML5, CSS3, NextJS, and Tailwind CSS to enhance user engagement, resulting in an 15% increase in weekly active users.
  • Partnered with Product Managers to evaluate UX mocks, and third-party integrations, delivered technical insights that helped reduce implementation cycles by 20%, adhering to Agile workflows using Git, and RESTful APIs.
  • Leveraged modern web frameworks and cloud deployment pipelines to build scalable, visually polished applications, maintaining 98%+ uptime across weekly deployments and improving page load speed by 15%.

Software Engineering Intern

Minnesota Institute for Astrophysics (MIfA)

Feb 2023 – Aug 2023

Minneapolis, MN, USA

  • Engineered interactive, responsive web interfaces using HTML, CSS, JavaScript, ReactJS, and jQuery, contributing to a 28% increase in page interaction time based on user analytics.
  • Designed and optimized mobile-friendly pages with Tailwind CSS and Bootstrap, improving accessibility scores by 30% and reducing load times across devices.
  • Leveraged Google Analytics and SEO tools to drive traffic insights; implemented performance enhancements and deployed updates through Google Cloud Platform, reducing bounce rate by 15%.
ZoZima Private Limited

Software Engineer Intern

ZoZima Private Limited

Apr 2021 – May 2021

Lucknow, Uttar Pradesh, India

  • Designed intuitive UI flows using Figma, improving navigation efficiency and reducing average user transaction time by 10%.
  • Collaborated with team members in an agile environment, integrating feedback to enhance the overall user experience using Kotlin.

Projects

CreditMaster

CreditMaster

CreditMaster

React, TypeScript, Tailwind CSS, PostgreSQL

  • Reduced card selection time from 8+ hours of manual research to under 5 minutes through automated comparison engine processing real-time data from 100+ credit card products
  • Enabled 75+ users to earn additional 15,000-35,000 reward points annually through optimized card selection, equivalent to $150-350 in travel rewards or cashback value
TruthGuard

TruthGuard

TruthGuard

Python, Flask, PyTorch, BERT, Docker

  • Reduced news verification time from over 10 minutes of manual fact-checking to under 3 seconds by developing an AI-powered detection engine with 92.5% accuracy.
  • Empowered users to instantly assess news credibility and combat misinformation through a fine-tuned BERT model that achieved a 92.5% F1-score on test data.
TradeMind

TradeMind

TradeMind

Python, scikit-learn, pandas, yfinance, matplotlib

  • Built a Random Forest–based stock trend prediction system using S&P 500 historical data, achieving 82.89% precision after backtesting and evaluation.
  • Automated data collection, preprocessing, and performance visualization using yfinance, pandas, and matplotlib to clearly compare predicted vs. actual market movements.

Technical Skills

Languages

Python
Java
Kotlin
C/C++
CSS
HTML
JavaScript
OCaml
TypeScript
SQL

Frameworks

NodeJS
ReactJS
NextJS
Tailwind CSS
Android Studio
Flask
SwelteKit
Kaggle
Unity

Developer Tools

Git
Agile
CI/CD Testing
Unix/Linux
VS Code
Google Cloud Platform
Firebase
TensorFlow
AWS
Azure

Get In Touch

I'm currently looking for new opportunities. Whether you have a question or just want to say hi, I'll try my best to get back to you!

khand113@umn.edu
LinkedIn
GitHub