Abir Bhushan

Associate at Goldman Sachs

A little about me

Born and raised with a passion for Astrophysics, I am a postgraduate in Computer Science from University College London (UCL). I enjoy designing and developing—breaking and optimising—all kinds of software, and I am particularly interested in Quantitative Engineering and large-scale data optimisation problems.

Featured: 🔎 Search GitHub | Advanced Open Source Search

Tech-Talk

Languages

  • Programming languages
    • Java
    • C/C++
    • Python
    • JavaScript
      • ES6+/ESNext
      • TypeScript
      • Flow
      • Node.js
    • Haskell
  • Core web development
    • HTML5
    • CSS
      • SASS
      • LESS
  • Data query languages
    • SQL
    • Elasticsearch DSL
    • PromQL
    • GraphQL

Tools and Technologies

  • Frameworks
    • Spring
    • Django
    • React
    • Vue (the framework used to build this website)
    • Flask
    • Express
  • Version Control
    • Git
    • Mercurial
  • DevOps
    • Docker
    • Maven
    • Webpack
    • Gulp
    • GitLab
    • Kubernetes
    • S3

Work

Goldman Sachs
Associate
Jul 2022 – Present
  • Global Markets.
    • Goldman Sachs
    Summer Analyst
    Jun 2021 – Aug 2021
  • 10-week internship in the Controllers Engineering division at their London headquarters.
  • Received an offer for a New Analyst role, starting summer 2022, in the Global Markets division.
    • UCL
    Programming Mentor
    Sep 2019 – Mar 2022
    Part-time
  • Organised and led weekly tutorials for 8 first-year undergraduate Computer Science students on the Bachelor's and the Integrated Master's programme.
  • Helped them build a foundation in the subject by assisting them with their Programming (C, Haskell, Java, and Python) and Logic (Theory of Computation and Compilers) modules.
    • Goldman Sachs
    Spring Intern
    May 2020 – May 2020
  • 2-week internship that was conducted virtually due to the novel coronavirus (COVID-19) pandemic.
  • Shadowed under Global Investment Research, Global Markets, and Asset Management — with a focus on software engineering — and gained an in-depth understanding of the different processes, requirements, and workflows at the firm.
    • NTT Data
    Virtual Reality (VR) Developer
    Oct 2019 – Apr 2020
    Part-time
  • Worked in a team of 3 to develop a software solution for the company as part of the UCL IXN initiative.
  • Created Autónomo — a Virtual Reality (VR) simulation of a self-driving car — to understand and produce a reference Proof of Concept for the car-buying experience of the future.
  • Designed and led the development life cycle, while regularly liasing with our project partners to incrementally improve Autónomo and enhance its VR experience after each subsequent iteration.
  • Completed a successful handover to the Innovations and New Ventures team at the company's London office, where Autónomo is being upgraded and optimised.
    • Facebook
    Hack-a-project Intern
    Feb 2020 – Mar 2020
  • Explored Facebook London and gained insight into how its product teams work together to deliver highly-scalable and robust services to its users.
  • Prototyped Geocon — an online platform for meeting new people from different ethnic backgrounds and learning about their cultures and lifestyle — using React.js and Flask, in collaboration with engineers at Facebook London.
    • Infibeam Avenues
    Technology Summer Analyst
    Jul 2019 – Sep 2019
  • 2-month internship at their offices in New Delhi.
  • Built an internal tool using Express.js that completely automated the process of converting incoming catalogue data (in YAML) to an SQL table and successfully deployed the application on Heroku.
  • Used Python and some of its (core) Machine Learning libraries to create price-prediction models for three distinct categories of the company's e-commerce catalogue.

    • Open source projects

    📋 WDYM (What do you mean?): A tool to convert Common Log Format into more useful (and human-readable) JSON and/or CSV. Especially handy when analysing server log files for activity and performance. Can be used both as a Node.js library and as a command line executable.

    🦠 COVID-19 Footprint: A Chrome extension that provides real-time global and regional data of the novel coronavirus pandemic. Built using React.js and the COVID-19 API

    ⚙️ Quickbuild: A mature, feature-complete application generator with an emphasis on speed — generates boilerplate code for a large range of project types (like Express.js server, React-Redux application, etc.) and has added functionality, like initialising version-control and installing dependencies, for each project.

    🧪 Acquire: Node.js' require on steroids.

    🔎 Search GitHub: A Chrome extension that allows a user to construct powerful queries to search GitHub repositories, code, marketplace, etc. using 24 different parameters.

    🔥 GOSH FHIR Dashboard: Created a fast and responsive dashboard application using React.js that processed, analysed, and visualised synthetically generated healthcare data retrieved over FHIR from a GOSH gateway to demonstrate capabilities and advantages of the FHIR standard.

    🚀 Gravity Simulator: A simple, customisable simulator built to understand how celestial bodies warp the fabric of space-time. Inspired by particles.js.

    📟 LaTeX Cheat Sheet: A LaTeX cheat sheet as a Chrome extension.

    Contact

    If you have something interesting to discuss,

    drop me a line at bhushan.abir@gmail.com