Heet Mehta

• Designed and built a real time benchmarking system in Go to evaluate scalable backend infrastructure for a production robot fleet, comparing Prometheus, VictoriaMetrics, Thanos, and Mimir under loads exceeding 782k time series.
• Engineered a containerized load generator with Bazel, deployed on Kubernetes with Helm, producing reproducible results across all configurations.
• Delivered a structured technical report whose findings directly informed an infrastructure migration decision.

• Contributing to open source secure systems research and tooling.

• Applied numerical computing in Python to fuse noisy sensor data from 500+ IoT devices using RSSI based trilateration and Kalman filtering, achieving 1 meter indoor positioning accuracy under real world interference.
• Built multithreaded real time data pipelines and automated simulation scripts, reducing evaluation time by 30% while maintaining correctness of statistical estimates.

• Built an ML powered diagnostics system in Python using Scikit-learn on AWS Lambda, applying statistical anomaly detection across sensor streams from 20+ installations and reducing critical failures by 40%.
• Designed scalable data ingestion pipelines integrating multi source sensor data via MQTT and AWS IoT Core, improving fault detection accuracy by 20%.

A comprehensive system for tracking, analyzing, and optimizing API usage: API key management with fine grained permissions, sliding window and token bucket rate limiting, real time metrics and error rates, per user analytics, full request logging, an interactive dashboard, and threshold alerts.

Three components: a FastAPI backend for auth, rate limiting, and logging; a Kafka consumer that aggregates metrics into ClickHouse; and a React dashboard for visualization.

• Python
• FastAPI
• Redis
• Kafka
• ClickHouse
• React

Mixpanel style product telemetry tool with a custom dashboard builder and funnel analysis views.

• React
• Zustand
• PostgreSQL
• ClickHouse

Auction platform on the Ethereum blockchain where users browse, bid, and transact on goods through encrypted exchanges backed by smart contracts.

• Solidity
• Web3.js
• Ethereum

Streamlit web app that analyzes uploaded retinal images with a pretrained ML model, a 25% accuracy improvement over baseline.

• Python
• Streamlit
• Scikit-learn

Full stack recipe search application with ingredient based filtering.

• React
• Node.js
• Express

End to end ML pipeline with a 45% reduction in model training time through optimized data processing.

• Python
• Apache Airflow
• Docker

Agentic AI engine with explainable multi variable scoring across 30+ inputs, improving decision accuracy by 25%. Designed for real time state sync via Socket.io supporting 50+ concurrent sessions. Awarded 3rd place at HackNYU 2026.

• Python
• Next.js
• TypeScript
• Node.js
• Snowflake

Applications of Machine Learning in Detecting Unethical Sources of Raw Materials in Supply Chains in the Cosmetic Industry.

DOI: 10.1109/ICSES63445.2024.10763049

Led a pro bono website redesign supporting workforce reintegration programs, improving navigation and accessibility for community impact.

Mentored 8 members across software and analytical projects and organized 5 technical workshops on algorithms and engineering fundamentals.