Open to Opportunities

Jeel
Patel.

Software engineer at the intersection of ML systems, distributed computing, and high-performance infrastructure. MS Computer Engineering @ NYU.

1+
Years Exp.
200K+
Users Impacted
1
IEEE Paper
3.67
GPA @ NYU
Jeel Patel
Jeel Patel
Software Engineer · NYU '26
📍 New York 🎓 MS CompE 💼 Open to Work
About

Engineer, creator,
problem solver.

I build systems that scale — from deploying APIs on AWS serving 100K+ users to engineering fault-tolerant pipelines processing terabytes of HPC telemetry data.

Currently conducting HPC research at NYU analyzing GPU power consumption on MIT Supercloud, developing synthetic data pipelines using CTGAN and diffusion models.

Previously built multithreaded C++ services delivering 20% crash reduction, 35% latency improvements, and 50% order volume increases.

⚡
ML Systems
Production ML pipelines from training to deployment.
🔧
Backend & APIs
Python, C++, Node.js, Spring Boot.
☁️
Cloud & Data
AWS, Azure, Spark, Airflow at scale.
🔬
Research
IEEE published. Active HPC research at NYU.
Tech Stack

Tools I work with.

Languages
PythonJavaJavaScriptC++SQLR
Frameworks
FlaskReactNode.jsSpring BootTensorFlowScikit-learnXGBoostBERT
Cloud & Data
AWSAzureMongoDBSparkAirflowDockerPandasNumPy
Visualization
Power BITableauSeabornPlotlyMatplotlibGit
Experience

Where I've built things.

Sep 2025 —
Present
Graduate Research Assistant
New York University — Prof. Lin
GPU power consumption analysis on MIT Supercloud. Synthetic data pipelines with CTGAN & diffusion models.
⊞ Click for full details
Sep 2025 —
Dec 2025
Software Engineering Intern
The NorthStar Group — New York, NY
Backend services on AWS for media platforms. ML automation reducing ops by 30%. Serving 100K+ users.
⊞ Click for full details
Jan 2024 —
May 2024
Software Engineer Intern
5POINT Solutions — Vadodara, India
Predictive ML models reducing churn 18%. ETL for 10M+ records. A/B testing boosting conversions 12%.
⊞ Click for full details
May 2023 —
Jul 2023
Data Analyst
Worknex — Pune, India
15K+ records analyzed with Pandas & SQL. Spark + Airflow pipelines cutting processing 35%.
⊞ Click for full details
Education

Academic foundation.

M.S. Computer Engineering
New York University
2024 — 2026 · New York, NY
GPA: 3.667 / 4.0
Machine LearningDeep LearningMLOpsBig Data
B.Tech Information Technology
Symbiosis International University
2020 — 2024 · Pune, India
GPA: 7.521 / 10.0
Data StructuresOSNetworksDistributed Sys
Projects

Selected work.

XGBoost · Streamlit
Machine Learning · Forecasting
NYC Taxi Demand Prediction
Real-time demand forecasting with ensemble models, weather & event data. Achieved R²=0.89 on 200M+ trip records.
⊞ Details
PythonXGBoostStreamlit
GeoPandas · Folium
Machine Learning · Geospatial
NYC Crime Prediction
Predictive analytics with geospatial modeling for crime hotspot identification. 85% accuracy across borough categories.
⊞ Details
PythonGeoPandasXGBoost
BERT · HuggingFace
NLP · Deep Learning
Document Classification & Extraction
BERT-powered pipeline for 50K+ documents. 92% accuracy with 75% reduction in manual processing overhead.
⊞ Details
BERTTensorFlowPython
RoBERTa · NCF
★★★
Full Stack · AI
SYMBI-MART E-commerce
Campus marketplace with RoBERTa semantic search and neural collaborative filtering. Drove 50% order volume boost.
⊞ Details
Node.jsRoBERTaMongoDB
React · Firebase
Full Stack · SPA
Netflix-Inspired Streaming
React + Firebase SPA with TMDB API for dynamic content, real-time authentication, and responsive design.
⊞ Details
ReactFirebaseTMDB
Tesseract · OpenCV
Computer Vision
Intelligent OCR System
Tesseract + OpenCV pipeline with Flask UI for high-accuracy document digitization with batch processing support.
⊞ Details
PythonOpenCVFlask
Research

Academic contributions.

Published — IEEE
Quantitative Analysis of ML & DL Models in Dysrhythmia Classification
ML/DL approaches for cardiac rhythm disorder classification. Benchmarked multiple architectures on ECG datasets, published in IEEE Xplore.
View on IEEE →
Ongoing — NYU
Power Consumption Analysis for AI-based Data Centers
GPU/CPU power patterns for large-scale AI workloads on MIT Supercloud. Designing energy-aware scheduling to reduce peak draw 20%+.
Testimonials

What people say.

Jeel was among the most effective, proactive, and collaborative students in my Big Data class. His problem-solving mindset made him a joy to teach.

Prof. Amit Patel
Adjunct Professor, NYU Tandon

Jeel's ability to solve problems and persistence in learning set him apart. His curiosity and communication were truly exceptional.

Dr. Deepali Vora
HOD, Symbiosis Institute of Technology

Jeel's curiosity, intellect, and collaborative mindset made him stand out. His passion for learning and helping others is truly inspiring.

Dr. Harshal Aravind Patil
Assoc. Professor, Symbiosis IT
Let's Connect

Let's build something together.

I'm always open to discussing new projects, interesting ideas, or opportunities to create something meaningful.

Email LinkedIn GitHub Twitter / X
pateljeel3105@gmail.com
Details