Jad Khater
CS BS/MS candidate at UChicago, focused on distributed systems, AI infrastructure, and full-stack engineering. I like building things most people would skip on a resume — a rules engine for Mahjong, a RAFT implementation from scratch, a shell that runs in the browser.
Try it live
A real shell, compiled to WebAssembly. Type help to see what it can do.
Experience
Software Engineer Intern · OrganAlert
- ›Contributed to a HIPAA-aligned clinical decision-support platform for lung-donor evaluation, working in a TypeScript monorepo built on the Forklaunch framework.
- ›Worked across an authentication architecture spanning AWS Cognito, Okta SAML, and Medplum FHIR integrations.
- ›Shipped assigned work items end-to-end — code review, approval, and deployment — and participated in design discussions and MVP scoping.
AI Systems & Governance Lead · Impartial Inc
- ›Architected an event-driven operations platform integrating Google Workspace and EngageBay CRMs via REST APIs and webhook listeners, increasing automation capacity by 10x.
- ›Integrated the Gemini and Gmail APIs to parse inbound communications and auto-generate contextual drafts for executive review.
- ›Built an automated lead-discovery system against the ProPublica API and audited enterprise infrastructure, cutting overhead by $600/month.
Software Engineer Intern · Ovation, App Inc
- ›Engineered a cross-platform social app with a distributed Django backend — a full-screen reel feed, custom recommendation algorithm, tag-based discovery, and end-to-end encrypted messaging.
- ›Resolved concurrent token-storage race conditions in the auth flow and built a video upload pipeline with optimistic UI and automatic rollback on network failure.
Software Engineer Intern · ImmersionED × Weston Game Lab
- ›Engineered a mass-generation AI pipeline that synthesized 25,000+ backgrounds and 2,900 intro videos across 79 educational courses.
- ›Built an automated spatial-mapping system that plotted 77,000+ interactive hotspots at 95%+ accuracy, wiring up the episode navigation graph.
Data Science Intern · Gallus Insights Corporation
- ›Automated client migration workflows with ThoughtSpot TML, cutting onboarding time from 2 weeks to 3–5 days.
- ›Engineered loan projection and seasonality models for mortgage data, improving forecast accuracy by 25%+ across 25 deployed dashboards.
Projects
mahjong-engine
↗A rules engine and solver for Mahjong — winning-hand detection and shanten scoring, compiled to WebAssembly. Reachable from the terminal above by typing `open mahjong`.
sheet-music-annotator
↗An OMR pipeline using classical CV — staff detection, clef localization, and notehead annotation — with no deep learning, tested on orchestral scores.
leaftl
↗A learned flash translation layer (CS332) — exploring learned index structures for SSD logical-to-physical address mapping and their effect on write amplification.
ml-systems-finalproj
↗Machine-learning systems coursework — training and evaluation experiments built out as reproducible notebooks.
raft-go
→An implementation of the RAFT consensus protocol in Go — leader election, log replication, and failure recovery across a simulated cluster. Work in progress.
Writing
total 0
# directory empty — reports and essays land here soon.