All Studio
SaaS fitness CRM that flags at-risk clients in real time — no more weekly manual reviews.
ReactSpring BootPostgreSQLJWTTailwind CSSVite
builder
Full-stack systems from idea to production
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AI pipelines, ML systems, and agentic tooling
Koshik Kumaravel
AI Engineering intern at Fuel Cycle and ML researcher at UCI, building full-stack systems that put AI to work.
Portfolio
Selected Work
Movie Recommender
Hybrid ML engine combining collaborative filtering and content-based models, benchmarked across five algorithms.
PythonPandasNumPyScikit-learnSciPyJupyter Notebook
Background
About Me
I'm a builder at heart — I love turning ideas into working software and staying on the cutting edge of what's possible with AI. Whether I'm wiring up agentic pipelines, experimenting with the latest LLM tooling, or shipping a full-stack app from scratch, I'm happiest when I'm building something real. Outside of code, you'll find me on the volleyball court, hitting the gym, snowboarding whenever the mountains cooperate, or out with my Boy Scout troop.
Currently studying B.S. Artificial Intelligence at University of California, San Diego (GPA: 3.92, expected June 2028).
Languages
PythonJavaC++JavaScriptTypeScriptSQLHTML/CSSPHP
Frameworks & Libraries
ReactNode.jsExpressSpring Bootscikit-learnPandasNumPyMatplotlib
Tools & Practices
GitDockerPostmanLinuxBashREST APIsCI/CDAgile
AI & ML
LLM integrationMCPAgent2AgentPrompt engineeringRecommender systems
Experience
AI Engineering Intern
Fuel Cycle · Los Angeles, CA
- Built an agentic QA platform that auto-generates tests from Jira tickets using MCP — cutting QA cycle time by 60%.
- Produced 50+ adversarial, regression, and security tests per API ticket, catching critical auth bugs before release.
- Pitched the architecture to executive leadership; it was adopted as the team standard.
Machine Learning Research Assistant
UCI ProperData Research Team · Irvine, CA
- Built a personality inference pipeline that maps datasets to Big Five trait profiles using a locally-hosted LLM.
- Designed prompts grounded in published annotation protocols, reducing output token size by 51%.
- Created an interactive visualization tool with a live OCEAN radar chart and real-time confidence scoring.
Software Engineering Intern
Priyum Products · Irvine, CA
- Built a Flask pipeline that auto-detects and redacts weight data from shipping label PDFs — no more manual cropping.
- Integrated Shippo and Shopify APIs to collapse a 4-step label workflow into a single CLI command.
- Dockerized the service and deployed on Render; handles multi-page PDFs under 400MB with zero on-disk storage.
Say hello
Get In Touch
Open to internship and new grad opportunities in software engineering and AI. Feel free to reach out.