• Pico Resort, VT
Hey! I'm Ashad Shaik-Mohamed, a double major at
Rutgers University — New Brunswick, studying ECE and Math. I
enjoy building projects that push me and working on problems that
don't have obvious solutions. I'm interested in full-stack, machine
learning, and infrastructure. Enjoy exploring this portfolio and
feel free to reach out:
ashad.shaikmohamed@rutgers.edu
B.Eng in ECE & Mathematics, Rutgers University
B.Eng in ECE & Mathematics, Rutgers University
Stack
Python
React
Java
JavaScript
TypeScript
Rust
C
Node.js
MONDAY 🔧
Mar 30, 2026
>
Gearing up, designing projects.
Energy
Today
Meditato
May 2025 – Aug. 2025
Teaching Assistant
Sep. 2025 – Dec. 2025
Research Assistant
Sep. 2024 – Present
Meditato - Software Engineering Intern
- Built web scraping and data ingestion pipeline processing 5,000+ trivia questions from online sources and Kaggle datasets, implementing deduplication via RapidFuzz (80% similarity threshold) and data validation.
- Trained logistic regression and gradient-boosted models achieving 78% accuracy in difficulty prediction, enabling real-time question adaptation based on user performance patterns.
- Implemented input validation and parameterized queries to prevent SQL injection, filtering malformed data and handling edge cases in JSON parsing.
Rutgers University - Teaching Assistant
- Designed and delivered weekly recitation sessions for 25+ students, creating supplementary problem sets that reinforced core algorithmic concepts and improved average quiz scores.
- Supported 100+ students across office hours by diagnosing recurring misconceptions and tailoring explanations to different learning styles, reducing repeat debugging questions over the semester.
Rutgers Dept. of ECE - Research Assistant
- Scraped and indexed metadata from 7,500+ computer engineering papers (IEEE, CVPR) using Requests and BeautifulSoup, extracting structured data on authors, affiliations, topics, and citations.
- Designed a PostgreSQL relational schema with junction tables to support many-to-many author–paper relationships, incorporating affiliation-based author disambiguation to resolve name collisions.
- Developed FastAPI search engine with asynchronous request handling, achieving sub 1-second keyword retrieval across indexed abstracts and metadata.
DraftRoom
March 2026
Go Phish! 🏆
Dec. 2025
DraftRoom
- Engineered a proprietary 0–100 DraftRoom Score combining True Shooting %, opponent-adjusted scoring, defensive impact, and playmaking efficiency — replacing traditional box score evaluation for fantasy draft decisions.
- Built a FastAPI backend on live NBA.com data with an exponentially weighted trajectory model, per-opponent defensive rating adjustments, and a concurrent 30-player pipeline with 2-hour TTL caching.
- Deployed a production full-stack app on Vercel and Render with GitHub CI/CD, featuring real-time debounced search, animated DR Score history charts, and injury-aware start/sit recommendations.
Go Phish!*
- Built a backend service capable of reliably handling high-volume concurrent events, processing 575+ clicks, 255+ form submissions, and 550+ email opens across simulated phishing campaigns.
- Developed an analytics API querying PostgreSQL to surface campaign performance dashboards, enabling identification of high-risk behavioral patterns across user cohorts.
- Integrated asynchronous request handling to reliably process high-volume user events during simulated attacks.
* HackRU F25 Maverick Winner