AI Engineer · SAP Consultant · Hackathon Winner
I'm Imadabathuni Harsha Venkat — an AI/ML Engineer and SAP Techno-Functional Consultant at VKollab Technologies Pvt. Ltd., where I work across CPI, SCM, and MM to drive enterprise integrations and workflow automation.
My work sits at the intersection of Generative AI, Computer Vision, and Enterprise Technology. I build AI-powered applications, fine-tune large language models, and deliver real-world solutions—from autonomous AI agents to safety systems deployed on embedded hardware.
As the lead of Team NeuroNodes, I won the National Level CodeSpark India 2025 Hackathon and the Innovate Andhra Hackathon 2025, building prompt-driven AI systems that automate complex, multi-application workflows from a single natural language command.
I believe in consistent effort compounding into exceptional outcomes. Fast learner, systems thinker, and always building the next thing.
Universal execution framework converting natural language into cross-application actions. Multi-agent architecture with LangGraph + MCP + Playwright automating browsers, Gmail, Calendar, LinkedIn, and APIs. Fine-tuned LLaMA on custom domain data; deployed on Docker + Vercel.
Real-time driver safety monitoring system for APSRTC buses detecting drowsiness (EAR), yawning, distraction, and camera obstruction. Deployed on Jetson Nano for sub-500ms embedded inference. Presented directly to APSRTC Executive Director.
Automated parking detection using YOLO and contour-mapping to identify free vs. occupied slots from live CCTV feeds. Handles motion blur and partial occlusion with a custom slot-tracking algorithm. Built for an IIT Hackathon.
Functional smart mirror using AI + IoT displaying real-time weather, news, calendar events, and fitness metrics. Features voice commands and personalized interactions. Won Best Innovation award with ₹5,000 cash prize. Published in TIJER (Vol 11, Issue 4).
Responsive full-stack website for drone research and innovation at DIET, now live on the college's official portal. Features dynamic UI, WebP image optimization, AOS animations, and a custom dark/light theme. 2,500+ LinkedIn impressions at launch.
Flask API wrapper integrating Strapi CMS with SQLite for offline + online synced data retrieval. Implemented optimized request routing, BLOB image handling, logging, and CORS for stable production performance.
Ensemble-quantum ML approach combining QSVC and classical models with SHAP (SHapley values) for reliable and interpretable cardiovascular disease predictions. Explores Quantum Neural Networks and Variational Quantum Circuits.
This portfolio website — built with pure HTML, Tailwind CSS, and vanilla JavaScript. Features particle animations, custom cursor, typed.js, scroll-reveal animations, and full mobile responsiveness.
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I'm open to discussing AI engineering roles, SAP consulting opportunities, collaboration on ambitious projects, or just a great technical conversation. Reach out directly.
