Education

  • University of Pennsylvania Class of 2022
  • Cumulative GPA: 3.76/4.0
  • Double Major: Computer Science (School of Engineering) and Economics (College of Arts and Sciences)
  • Honors: Magna Cum Laude
  • Certifications: Series 57

Languages

  • English (Native)
  • Hindi (Native)
  • Spanish (Highly Proficient)

Programming Languages

  • C/C++
  • Java
  • Python
  • Solidity
  • JavaScript
  • SQL
  • Scala
  • Go

Technical

  • Distributed Systems
  • Amazon Web Services
  • Databases
  • Linux Internals
  • MERN Stack
  • Spring Boot
  • Machine Learning
  • GraphQL
  • Networks
  • Financial Markets
  • Blockchains
  • EVM Development

Interests

  • Lifting
  • Trading/Investing
  • Reading
  • Cryptocurrency
  • Poker
  • Fantasy Football
  • Music
  • Running
  • Golf
  • Pickup Sports

Work Experience

Morgan Stanley - New York, NY
Current: Algorithm/Quantitative Developer

• Work as a high-performance, low-latency C++ developer on the Equity Options Market Making team, focusing on building robust multi-threaded trading algorithms

• Work on parts of the system related to on-exchange quoting, retail and institutional client flow, auctions (price improvement and step up) and pricing

Past: Algo/Quantitative Developer Intern

• Worked as a C++ developer intern in the Equity Options Market Making team

• Built a real-time matching algorithm in C++ to improve pricing for quotes


Manifold Trading - New York, NY - Software Developer Intern

• Worked as a developer on the cross-chain arbitrage codebase that connected to DEXs on various blockchains as well as centralized exchanges

• Researched new protocols and helped implement new yield farming strategies


Pfizer Inc - New York, NY (shifted to remote) - Summer Intern

• Provide support for various systems such as contract management, matter management, Document management and other knowledge management systems and portal utilizing Robotic Process Automation Technology


ZeroEyes - Philadelphia, PA (shifted to remote in March) - Machine Learning Intern

• Worked at this startup, helping create and improve Computer Vision/Machine Learning technology for real-time weapon detection and alerts


Ditanbiz Inc - Metuchen, NJ - Partner/ Full-Stack Software Engineer

• Create Full-Stack Web and Mobile Applications using the MERN Stack

• Create financial forecasts and help evaluate budget

Projects

Google 2.0

Search Engine developed as a final project for my CIS-555 class, with more than 200k crawled pages utilizing PageRank to rank pages.

Developed using Java, React, as well as Apache Spark. Used AWS technologies such as EC2, SQS, DynamoDB, S3, and EMR.

search engine photo
CheckN

This mobile application, for both iOS and Android, was created to provide the ultimate experience for runners.

Developed the Full-Stack, using React Native, Node.js (Express.js), and MongoDB.

checkn photo
SaveTrees

This is a Mobile Application, for both iOS and Android, to help make submitting forms easier.

Developed the Full-Stack, using React Native, Node.js (Express.js), and MongoDB.

savetrees photo

Activities

Penn Blockchain - Research Committee

Researched new protocols, tokens, or anything else that could be interesting and/or profitable


Wharton Undergraduate Finance Club - (Vice President + Quant Researcher)

• Use Python to conduct quantitative analysis within the financial markets

• Conduct Market Research within the Equity and Cryptocurrency Markets

• Organize events with Financial firms for students within the undergraduate community


Wharton Entrepreneurship Club - Board Member

• Foster creative thinking and entrepreneurial collaboration among members

• Visit start-ups and meet with founders to gain additional insight about the process

• Provide pool of resources for student entrepreneurs to pursue ventures


DREAM Mentor

• Serve as a resource and role model for children in low-income communities through weekly in-person sessions

Coursework

Computer Science

  • Intro to Programming
  • Intro to Cognitive Science
  • Programming Language and Techniques
  • Data Structures and Algorithms
  • Mathematical Foundations of Computer Science
  • Intro to Computer Systems
  • Automata, Computability, and Complexity
  • Algorithms
  • Internet and Web Systems
  • Randomized Algorithms
  • Machine Learning
  • Software Design and Engineering

Mathematics

  • Calculus II
  • Multivariable Calculus
  • Linear Algebra and Differential Equations

Economics

  • Intro to Microeconomics
  • Intro to Macroeconomics
  • Intermediate Microeconomics
  • Intermediate Macroeconomics
  • Statistics for Economists and R
  • Econometrics
  • Industrial Organization
  • Economics of Family
  • Game Theory
  • The Political Economy of Early America



Business

  • Accounting and Financial Reporting
  • Business Statistics
  • Marketing