Web applications, backend services, and data systems. Two software engineering internships, with hands-on work from product logic and APIs to deployment.
M.S. Computer Science · Illinois Tech · May 2027
~65%less configuration timeAn XML-driven engine I built at Codage Habitation, enforcing 100+ product rules.
01 / Selected work
A deployed product, a local AI system, and a cloud benchmark. Three ways I turn a problem into working software.
01 / Product engineering 2024
A consultation platform that needs to keep private conversations separate while supporting different account permissions.
02 / Applied AI 2026
Ask questions across private documents without sending their contents to a hosted model.
03 / Systems engineering 2025
Compare Hadoop and Spark sorting up to 64 GB across an eight-node cloud cluster.
I work where product logic meets data. I build across the application, connecting interfaces, APIs, and the systems that move data between them.
At Codage Habitation, I worked through product rules, validation, and delivery with a four-person team. At Reality-Craft, I built reusable React components and API integrations. Both roles connected the interface people use with the logic behind it.
My projects connect that product experience with data and systems: owning Legal One's backend, integrating biomedical datasets for a ranking pipeline, and comparing Spark with Hadoop on cloud clusters. I like understanding the interface people use and the engineering underneath it.
I'm based in Chicago and pursuing an M.S. in Computer Science at Illinois Tech, with a 3.5 GPA and expected graduation in May 2027. I'm interested in software engineering opportunities across the United States, working across full-stack products, backend services, and data.
The tools change with the problem. These are four kinds of engineering work I've put into practice across internships and projects.
From reusable React components at Reality-Craft to configuration services at Codage Habitation, I connect interfaces with the logic behind them. For Legal One, I owned the data model, GraphQL API, and messaging, then collaborated on frontend integration.
I integrated 1.2M+ biomedical pairs into a 27-feature research pipeline and trained XGBoost and CatBoost rankers. In Local RAG App, I built document ingestion, local embeddings, and retrieval with source citations.
I provisioned Hadoop and Spark on Chameleon Cloud, then benchmarked 64 GB of data across up to eight nodes. The work covered cluster setup, Bash automation, and measuring how compute, shuffle, and disk I/O affect performance.
Legal One has separate client, lawyer, and admin roles, with messaging isolated by session. At Codage Habitation, I built real-time validation that disabled invalid product combinations as users selected options, reducing configuration errors by over 50%.
Amazon Web Services · Foundational
Cloud fundamentals, security, core AWS services, and cost management.
Verify on Credly (opens in a new tab)M.S. Computer Science · Chicago, IL
B.Tech Computer Engineering · Ahmedabad, India
I'm interested in software engineering roles across full-stack products, backend services, and data. Based in Chicago and completing my M.S. in May 2027, I'm open to opportunities across the United States. Send me the role and what your team is building.
ompatel.cse@gmail.com→
