I'm Shivang. I take things from whiteboard to shipped — fewer moving parts, more that just works.
A CS graduate who likes turning fuzzy problems into things people can actually tap, click, and rely on.
My style is product-first and detail-obsessed: frame the problem clearly, build it cleanly, and sweat the last 10% that makes something feel finished.
Across internships and side projects I've worked end to end — architecture and core logic through to polished interfaces — with a soft spot for reliability, thoughtful design, and code future-me won't resent.
Grew from intern to full engineer: owning automation frameworks end to end, hardening CI/CD test workflows, and keeping quality high as the platform scales.
Developed Python-based driver modules and reusable automation components for Robot Framework, engineering scalable CI/CD-integrated test workflows. Transitioned to a full-time role.
Analyzed traditional and advanced ML/DL models for predicting NVIDIA stock prices using statistical metrics to evaluate model credibility, robustness, and financial forecasting reliability.
Conducted dynamic analysis of ELF malware to detect malicious patterns in IoT environments, and developed real-time classification models using dynamic feature extraction.
Pilot An independent studio building native, privacy-respecting Mac software. Home of Catalyst.
Pilot A privacy-first iOS app for calories, weight, fasting and metabolic health — built around Indian food. No account, no analytics, on-device.
Copilot A tiny studio serving fast, SEO-ready custom websites — bespoke broth for the web. This site came out of that kitchen.
macOS developer utility for package management, envs, diagnostics, and automation.
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SwiftUI white-noise app with Firebase Crashlytics + Analytics and live playback controls.
96% validation CV classifier plus a bilingual agronomic AI assistant fine-tuned on LLaMA.
Django + React writing assistant with local LLaMA workflows for faster drafting.
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Verilog + SUMO adaptive control with measurable throughput gains in simulation.
Arduino-based predictive irrigation with embedded ML decisioning.
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Web booking and operations platform with an AI chatbot baked in.
View project ↗Python, Swift / SwiftUI, C, SQL, Bash, Verilog, CUDA C, Assembly
Django, React, OpenCV, NumPy, Pandas, TensorFlow, Keras, LLM integration
Git, GitHub, Firebase, GitHub Actions, VS Code, Xcode, PyCharm, IntelliJ
MLSA & GDSC (KIIT via DevTown)
Rendezvous 2019, IIT Delhi
DeepLearning.AI · Coursera
UC Irvine · Coursera
IBM · Coursera
Semrush Academy
Coursera · 9 modules, capstone included.
Shivang Gulati is a software engineer and Computer Science graduate of MIT Manipal, currently an SDET I at Komprise. He builds across iOS/SwiftUI, AI/ML and backend systems, and founded The App Foundry, the studio behind the macOS app Catalyst.
By day he owns test-automation frameworks and CI/CD quality workflows at Komprise. On the side he ships products: The App Foundry (native Mac software), Metapace (a privacy-first iOS health app) and Websoup (fast, SEO-ready websites).
Primarily Python, Swift/SwiftUI, C, SQL and Bash, with Django, React, OpenCV, TensorFlow/Keras and local LLM integration. Tooling spans Git, GitHub Actions, Firebase, Xcode and the JetBrains suite.
Yes — he's open to collaborations, product ideas and interesting technical problems. The fastest way to reach him is email at shivanggulati817@gmail.com, or via LinkedIn and GitHub.
Shivang Gulati