sumukh = {
"currently" : "MS Computer Science @ University of Illinois Chicago (GPA: 4.0)",
"background" : "2+ years Full-Stack Engineering @ Oracle",
"focus" : ["LLM Fine-Tuning", "Agentic AI", "Computer Vision", "RAG Systems"],
"looking_for": "AI/ML Engineering | Full-Stack Engineering roles",
"location" : "Chicago, IL"
}π© I bring production engineering discipline to AI/ML β having built and scaled enterprise systems before transitioning to building production-grade AI systems.
β‘ I don't just train models. I ship them.
|
Google Cloud Rapid Agent Hackathon 2026 A multi-step agentic system that lets non-technical users query business data in plain English β no SQL required. Built at the "Google Cloud Rapid Agent Hackathon 2026". 7-step reasoning pipeline: Stack: Google ADK Β· Gemini 2.5 Flash Β· Vertex AI Β· BigQuery Β· Fivetran MCP Β· Firestore Β· Flask Β· Cloud Run |
LLM Fine-Tuning Research Fine-tuned Phi-3.5-mini (3.8B) using LoRA on the Spider benchmark β matching models 4Γ larger. Results:
Stack: PyTorch Β· HuggingFace Β· LoRA/PEFT Β· Spider Benchmark |
|
Computer Vision Pipeline End-to-end drone-view object detection and segmentation β controlled entirely by natural language prompts. Results:
Stack: YOLO-World Β· SAM-2 Β· CLIP Β· Streamlit Β· VisDrone |
Production β 13M+ Users Full-stack web portal serving 13M+ users at Oracle β REST APIs, frontend systems, B2B data pipelines, and ML-powered sales lead scoring. Highlights:
Stack: HTML Β· CSS Β· JavaScript Β· REST APIs Β· Groovy Β· Oracle B2B Cloud |
| π MS Computer Science β University of Illinois Chicago | Aug 2025 β May 2027 Β· GPA: 4.0 / 4.0 |
| π BE Computer Science β Visvesvaraya Technological University | Aug 2018 β Jul 2022 Β· GPA: 3.36 / 4.0 |
| πΌ Senior Cloud Analyst β Oracle | Sep 2024 β Oct 2024 |
| πΌ Cloud Analyst β Oracle | Aug 2022 β Aug 2024 |
| πΌ Software Development Intern β Phamax | Dec 2021 β Mar 2022 |
- β‘ Learning by developing scalable, production-ready AI applications using modern AI, cloud, and software engineering tools to solve real-world problems
- π― Targeting AI/ML Engineer and Full-Stack Engineer roles
Building things that matter - one commit at a time.


