rakshit k jha
senior software engineer based in london, uk
experience
Meta
Sep 2022 - PresentSenior Software Engineer
- Currently working in the Account Security Team to increase user security and reduce compromise rates.
- Led the enablement of Passkeys (biometrics-based auth) for Facebook Web for creation and login.
- Built heuristics mapping to reduce account compromise from recycled domains and emails, integrating with Google RISC API.
- Previously improved Appeals Infra and UI to unblock $10-13M/year of annualized incremental revenue.
- Ensured compliance with EU DSA regulations and worked on regulatory verification requirements in the Authenticity team.
- Tech Stack: Hack (PHP), Python, Bloks, React, GraphQL, Relay.
FifthRow Technologies
Jun 2021 - Sep 2021Software Engineer Intern
- Migrated landing page from Hugo to Next.js and Sass to styled-components, improving Lighthouse performance and SEO to above 90.
- Developed HTTP REST endpoints for GDT token withdrawals using TypeScript, Node.js, and Express.
- Developed a monitoring system in Python for liquidity and spread of cryptocurrency perpetuals.
FifthRow Technologies
Jun 2020 - Sep 2020Software Engineer Intern
- Automated the colo release process, increasing release rate to three times a week.
- Designed a Python Client Library for WebSocket API, currently used by over 1000 users.
- Scripted in kdb+/q and Python to generate reports for market makers.
- Created a deep learning model deployment pipeline for predicting short-term price movement using Python and TensorFlow Serving.
- Implemented an OpenAI-based Twitter bot using CoinDesk/Coin Telegraph tweets and a QA bot for affiliates.
Globe Research
Nov 2019 - May 2020Researcher
- First author on "Deep Learning for Digital Asset Limit Order Books".
- Collaborated to forecast short-term price movements of cryptocurrencies using Temporal CNNs.
- Achieved 0.73 F1-score on walk-forward testing.
education
university of cambridge
oct 2018 - jun 2022ba & meng in information and computer engineering
Grade: 2.1 (69.92%) (Ranked 86th out of 326)
Key Coursework: Algorithms, Data Structures, Probabilistic ML, Deep Learning, Computer Vision, 3D Graphics.
Master's Project: Gaussian process factor analysis models for neural data (Grade: Class I).
projects
personal blog
[ typescript, next.js, react, redis ]
blogging site with markdown support, serverless rendering, and local caching using redis.
image compression
[ python, pytorch, numpy ]
compressed grayscale images to <5kb using lapped bi-orthogonal transform. voted 2nd highest for visual quality.
agrio
[ django, python, postgresql, react ]
grocery buying app. built backend with django/postgis. voted highest project among 92 entries.
skills
languages
python, rust, sql, bash, c++, c, java, matlab, kdb+/q
web development
javascript, typescript, react, next.js, html, css, tailwind
data & ml
pytorch, tensorflow, numpy, scipy, pandas, xgboost, scikit-learn
infrastructure
git, aws, gcp, docker, mongodb, postgresql
publications
- r. jha, m. d. paepe, s. holt, j. west, and s. ng. deep learning for digital asset limit order books, 2020.