Hi, I'm Jashandeep Singh

Jashandeep Singh is a student at the Massachussetts Institute of Technology (MIT) currently pursuing a degree in Computer Science and Engineering (6-3). He enjoys bettering humanity through machine learning, artificial intelliegence, and entrepreneurship.

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Experience

Software Engineer Intern @ Yahoo

June 2023 - Present

Programming a backend ML topology for content recommendation ranking by implementing 3 new NRT real-time user features
Enhancing downstream customer usage by 37% through utilizing Java, Apache Storm, Redis and adding 175,000+ records of signal-amplified stream data to feed into feature feeder and J.A.R.V.I.S gradient-boost model
Increasing Yahoo user interaction and click-through-rate by 3%+ across news and sports articles resulting in $13,000+ revenue

Software Engineer Intern @ IBM

June 2022 – February 2023

Developed a web software with Python, TypeScript, and React that processes data for ML inference to repurpose clinical drugs
Extended configurability of 53,000 CPRD electronic health records on frontend web app utilizing Node.js and PostgreSQL
Presented research to Harvard and IBM scientists and instituting data handling procedure on 20+ types of multi-use therapeutics

Software Engineer Intern @ Asana

February 2023 – May 2023

Analyzed 50,000+ Fortune 500 employee wellness row data to enhance org-efficiency by deriving signals from health correlations
Curated 120+ correlations with over 70% R-Scores by utilizing Pandas, Python, and Seaborn and synthesizing 275+ features
Began writing causal findings in a health-wellbeing playbook to share with partners KPMG, Deloitte, Samsung and news outlets

Machine Learning Intern @ MIT Computer Science and Artificial Intelligence Labaratory

July 2021 – August 2022

Analyzing applications across the Home Mortgage Disclosure Act (HMDA) to build a novel fair-loan classifer to handle loan decisions without bias
Constructed a fairness pipeline, which undegoes situation testing, class and label balancing, and data-subdivisions to decrease bias by 35%
Published first-author paper in Journal of Machine Learning Knowledge Extraction and featured on The Boston Globe and MIT News

Machine Learning Intern @ Harvard Medical School & Brigham Women’s Hospital

June 2021 – May 2022

Validating microbial model performance by generating synthetic data, measuring error metrics, and iterating enhancements
Increasing model accuracy through implementing Python and Bash and simulating synthetic noise
Publishing paper currently in-review at the Journal of Cell Host & Microbe and exhibited work to Columbia and MIT graduate students

Education

Massachusetts Institute of Technology (MIT)

Exp Graduation: May 2025

B.S. Computer Science and Engineering

Relevant Coursework

Introduction to Algorithms (6.006) Fundemental of Programming (6.009)

Mathematics for Computer Science (6.042)

Multivariable Calculus (18.02)