About Me
Engineer.
Researcher.
Builder.
I'm Aditya Patel, a Machine Learning and Data Engineer pursuing my M.S. in Computer Science at Stevens Institute of Technology, Hoboken NJ.
I completed my B.Tech in Computer Science & Engineering at VIT Chennai in 2025, where I built a strong foundation in algorithms, systems, and applied AI. Three industry internships gave me real-world depth, from ETL pipelines at Intellect Design Arena to IoT systems at Intuz and full-stack web development at Appuno IT Solutions.
My core interest is building production-grade AI systems, particularly generative models and distributed data pipelines. I've deployed multimodal GANs on GCP Vertex AI, built the SynMedix AI platform (50K+ synthetic patient records) on AWS SageMaker, and engineered automated ETL workflows using Apache Airflow.
Currently focused on graduate research and seeking ML engineering or data engineering roles. If you're building something meaningful with AI or large-scale data, I want to talk.
Stevens Institute
M.S. CS · Hoboken, NJ · 2025–2027
VIT Chennai
B.Tech CS&E · GPA 3.2/4.0 · 2021–2025
Hoboken, NJ
Open to remote · hybrid · in-person
3 Internships
Data Eng · Web Dev · IoT Engineering
ML / Data Engineer
PyTorch · TensorFlow · AWS SageMaker
Interests & Passions
Tools of the Trade
Tech Stack
Languages
AI / ML
Data Engineering
Cloud & Infra
Visualization
Hardware & IoT
Web
DevOps
Career Journey
My Journey
From Chennai to Hoboken, every stop shaped the engineer I am today.
B.Tech CS&E · VIT Chennai
Began B.Tech in Computer Science & Engineering at Vellore Institute of Technology, Chennai. Deep-dived into data structures, algorithms, and systems programming. The foundation that made everything else possible.
Web Dev Intern · Appuno IT Solutions
Built full-stack features for the investor marketplace platform using ASP.NET MVC and C#. Designed RESTful APIs, implemented role-based access control, and shipped responsive UI. My first real taste of production-grade engineering.
IoT Engineering Intern · Intuz Solution
Engineered SHEMS (Smart Home Energy Management System) using Arduino and Raspberry Pi. Built sensor firmware, local data aggregation, and a real-time monitoring dashboard. Hardware meets software.
Data Engineering Intern · Intellect Design Arena
Designed and shipped the AMFI Mutual Fund ETL pipeline using Apache Airflow and Python. Automated regulatory data ingestion, built Power BI dashboards for stakeholders, and drove measurable reduction in manual data preparation time.
Graduated B.Tech · VIT Chennai
Completed B.Tech in Computer Science & Engineering with a GPA of 3.5/4.0. Four years of systems, algorithms, AI, and building things. Moved to the United States to pursue graduate studies.
M.S. Computer Science · Stevens
Currently pursuing M.S. in Computer Science at Stevens Institute of Technology, Hoboken NJ. Focused on Machine Learning, AI systems, and distributed computing. Building toward production AI at scale.
How I Work
My Values
Research that ships
I've deployed GANs to GCP Vertex AI and built ETL pipelines processing real patient records. The gap between a paper implementation and production code is where most of the real work happens.
Read the paper, then question it
I read ML papers on weekends — not because I have to, but because understanding why an attention mechanism works the way it does is the only way I can meaningfully adapt it. Copying code is never enough.
The boring infrastructure matters most
The model is maybe 10% of the work. Data pipelines, monitoring, deployment reliability — that's what separates a demo from a system people actually trust. I care about both.