Hey, I'm Sanjay

• Owned Untitled Film end to end from 0->1, now live at untitled-film.com and seeing early adoption at Loyola Marymount University.

• Worked on Rule4's TFOX platform, contributing to AI-assisted ticket drafting features that reduced manual effort for analyst teams, with focus on retrieval quality, backend integration, and performance visibility.

• Worked on forecasting systems for Vital Farms, contributing to data pipelines, feature engineering, and model development for production planning and supply-chain workflows.
• Focused on translating operational data into practical planning views for inventory risk, supply projections, and weekly decision-making.

• Worked on Adobe Experience Cloud backend services supporting content delivery, asset readiness, and downstream product integrations at enterprise scale.
• Focused on API design, service performance, event-driven processing, Kubernetes release workflows, and production observability for reliable delivery across product teams.

• Built a full-stack real estate aggregation platform for consolidating third-party property listings into a searchable web experience.
• Contributed across backend APIs, React-based interfaces, Redis caching, PostgreSQL query optimization, and scheduled data pipelines for structured listing data.

Relevant Coursework: Datacenter Scale Computing, Network Systems, Database Systems, Big Data Architecture, Intro to Computing Security

Relevant Coursework: Computer Networks, Operating Systems, Machine Learning, Data Structures and Algorithms

for orchestrating chaos drills, scale testing, and live ops observability. Built with React, Python, Redis/Postgres, k6, Chaos Mesh, and GitHub Actions.

with real-time terminals, autograding, and AI hints. Built with Next.js, FastAPI, Docker-in-Docker, and WebSockets, and deployed on AWS Fargate with CI/CD.

for sandboxed labs, attack simulations, and MITRE ATT&CK-mapped findings. Built with FastAPI, Celery, Redis, Terraform, and Gemini.

with local storage, custom theming, and zero server dependencies. Built with Tauri and designed as a fully self-contained typing practice experience.

for intelligent, real-time location-based push alerts. Built with React Native and Expo, with Firebase for authentication and messaging, background geolocation tracking, and a GCP-hosted ML model exposed via REST APIs.

Built a machine learning forecasting pipeline to support production planning and supply-chain decision-making for Vital Farms.

Focused on data extraction, feature engineering, model development, and translating forecast insights into practical recommendations for operational teams.

powered by Demucs on GCP. Built with Kubernetes-orchestrated Docker containers, Redis for job queueing, and MinIO for scalable S3-compatible storage.