About Me

I'm currently finishing up a Masters Degree in Computer Science at the University of York, with a graduation date of January 2024 and a grade of 2:1 (3.8 GPA). I will also be interning at Balyasny Asset Management this summer as a Software Engineer in London.

Please check out my experience and projects below!

Balyasny Asset Management

June - August 2023

Incoming Software Engineer Intern - Data Platform









Popdot

Software Engineer Intern | May - October 2022

• Created API endpoints using Django for users signing up to the application and updating account information.

• Designed a JSON validation script using Python to find duplicate login credentials for preventing multiple user accounts, reducing sign-up errors by 35%.

• Coordinated with the front-end team to ensure API endpoints are functional and can be merged with existing code.

• Improved Swagger documentation for internal APIs, leading to a reduction of 25% in developer search time.

• Researched and created error response codes for internal issues to ensure clear understanding of application bugs.

Technologies used: Python, Django, SQL, JSON

CodingForKids

Computer Science Tutor | September 2021 - April 2022

• Created a computer science curriculum for students interested in science and technology, resulting in 96% of students being interested in pursuing a career in STEM.

• Designed a series of lectures and programming workshops to teach object-oriented programming in Java.

Projects

Here are some of the projects that I have been working on:

  • Cryptocurrency Trader Bot [Link]

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    Technologies used: C++, Python, SQL, Dash, Pandas, matplotlib

  • Interdate [Link]

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    Technologies used: Java, Swift, Python, CSS, JavaScript, Android Studio, XCode

  • MyCaml [Link]

    A custom compiler created using OCaml to understand more about the language and building compilers.

    Technologies used: OCaml

  • BoltWR [Link]

    A supervised Machine Learning model aimed at beating world record times on video games.

    Technologies used: Python

  • Combinify [Link]

    An aggregation of news articles for the most factually correct summarized stories on the most important topics.

    Technologies used:

  • FireFlash [Link]

    A smart flash card application for language learning, study practice and more using memorization techniques.

    Technologies used:

  • InsoSearch [Link]

    An improved search engine with no placed advertisements and more personalized directed results based on preferences.

    Technologies used:

  • Olympic Games Predictor [Link]

    An application that predicts the medal table by country and participant of future Olympic Games.

    Technologies used: Python, Pandas

Skills & Achievements

Top 100 in the UK at competitive programming on CodeForces and AtCoder

Languages: C++, Python, Java, OCaml, SQL

Tools & Technologies: Git, Linux, AWS, Hadoop, GraphQL, MongoDB, Docker, Kubernetes