Open to opportunities

Jeel Patel

@jeelpatel2

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M.S. Computer Engineer specializing in ML systems, scalable infra, and full-stack MLOps.

United States

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What I'm looking for

I seek a role building production ML systems and scalable infra with strong engineering practices, collaboration, and growth opportunities.

I am a computer engineer focused on building scalable machine-learning systems and infrastructure that drive measurable product improvements. My work spans model development, deployment, and observability — I have improved uptime and engagement for high-traffic services, reduced pipeline latency, and delivered production-grade ML features.

I combine strong software engineering (C++, Python, distributed systems) with practical ML experience (PyTorch, TensorFlow, NLP) and cloud-native tooling (Docker, Kubernetes, Spark, Airflow, AWS). I prioritize reliable, testable deployments and data-driven optimization, having led projects that cut crash rates, lowered energy peaks, and boosted model precision and inference performance.

Experience

Work history, roles, and key accomplishments

Current

Software Engineering Intern

Current

The NorthStar Group

Sep 2025 - Present (3 months)

Maintained cross-layer site stability for high-traffic media properties (100K+ MAU), reducing crash rates by 20% and improving uptime; prototyped ML-assisted editorial tooling that cut manual effort by 30% and increased mobile engagement by 15% through UI optimizations.

Site Reliability Python Mobile Optimizations Observability A B Testing Docker

Research Assistant

New York University

Sep 2025 - Dec 2025 (3 months)

Collected and analyzed GPU/CPU power metrics across 120+ HPC nodes to build a time-series dataset and applied regression on 500K+ records to identify scheduling patterns that reduced peak energy draw by 18%.

Data Analysis Time Series regression HPC Python Data Engineering

Software Engineering Intern

5POINT Solutions Pvt. Ltd.

Jan 2024 - May 2024 (4 months)

Engineered multithreaded C++ services on Unix, improving throughput by 25%; built Spring Boot microservices with Kafka and Oracle and added testing/monitoring to stabilize releases; automated Spark+Airflow ETL to reduce pipeline latency by 35%.

C++Multithreading Spring Boot Kafka Oracle Apache Spark Airflow Monitoring Junit Mockito

Software Developer Intern

Worknex Pvt. Ltd.

May 2023 - Jul 2023 (2 months)

Developed REST APIs with PostgreSQL and MongoDB, improving p95 response from 480ms to 290ms; implemented validation and integration tests for 15K+ records and deployed ML engagement models that increased targeting precision by 22%.

REST APIs PostgreSQL MongoDB Performance Optimization Integration Testing TensorFlow scikit learn Deployment

Education

Degrees, certifications, and relevant coursework

New York University

Master of Science, Computer Engineering

2024 - 2026

Grade: 3.667/4

M.S. in Computer Engineering at New York University with coursework in Distributed Systems, Computer Architecture, Big Data, Deep Learning, and MLOps.

Symbiosis International University

Bachelor of Technology, Information Technology

2020 - 2024

B.Tech. in Information Technology from Symbiosis International University completed with core coursework and practical projects in software engineering and systems.