Minindu Abeywardena@minindubim55002

Events attended

Submissions made

Sri Lanka

1 year of experience

Socials

🤝 Top Collaborators

Imansha Dilshan

I have successfully completed my Internship on Generative AI initiatives, where I gained practical experience in developing and integrating AI-powered solutions for real-world applications. Through this experience, I worked with modern AI technologies, APIs, embeddings, vector databases, and automation workflows while improving my understanding of scalable AI system design. I also have hands-on experience building AI-powered applications and research-focused solutions using modern technologies and frameworks. My work includes developing MERN stack platforms integrated with AI features, experimenting with multimodal AI systems, Retrieval-Augmented Generation (RAG), semantic search, and secure backend architectures. My areas of interest and experience include: Generative AI applications Context-aware embeddings and semantic search AI-powered automation systems Computer vision and multimodal AI Enterprise knowledge systems using vector databases Secure and scalable AI integrations Beyond development, I actively explore innovative AI ideas for hackathons, research projects, and startup-focused solutions, with a strong interest in AI Research & Development.

Supun Tharaka

Student

Ramitha Iddamalgoda

🤓 Latest Submissions

Zynaptrix Context-Aware RAG (Gemini AI)

Zynaptrix is a context-aware RAG system built around Google Gemini and a modular agent pipeline to convert heterogeneous documents into accurate, professional reports. The backend ingests PDFs and images, uses a captioner, figure-splitter, and table transformer to extract structured content, then creates embeddings and indexes for fast retrieval. An orchestrator agent composes retrieved context with Gemini-powered synthesis; a report-writer agent formats outputs into exportable documents while a safety-critic agent enforces guardrails. The architecture separates ingestion, embedding, retrieval, and generation concerns so teams can add new extractors or retrievers easily. The frontend provides an assistant API and machine-focused workflows for interactive querying and batch report generation. Designed for research and enterprise use, Zynaptrix emphasizes provenance (source links and extracted snippets), multimodal understanding (text, figures, tables), and reproducible report generation for knowledge workers, analysts, and technical communicators

Hackathon link

19 May 2026

GeoRescue: Omni GIS Agent

GeoRescue is a multi-agent disaster response platform built for flood emergencies and hackathon-grade real-world impact. It gives first responders and command centers an instant operational view of flood conditions by combining satellite image analysis, live weather-driven flood modeling, road-impact detection, and safe route planning in one workflow. The system uses a CrewAI agent pipeline to coordinate four specialized roles: one analyzes satellite imagery, another triggers live flood intelligence, a third performs geospatial overlay analysis to identify blocked roads, and the last generates a structured incident report. The backend uses FastAPI, GeoPandas, OSMnx, NetworkX, and live weather inputs, while the UI presents interactive maps and clear response outputs. GeoRescue is designed to stay useful even when parts of the stack are unavailable, falling back gracefully to local routing and template reporting. The result is a practical, resilient disaster-response assistant that turns fragmented GIS and AI signals into actionable emergency guidance within seconds.

Hackathon link

10 May 2026

👌 Attended Hackathons

Web Data UNLOCKED Hackathon

🌍 Hybrid Hackathon | 💻 Online Build: May 25–30,2026 | 📍 SF Onsite Finale: May 30–31,2026 We’ve unlocked the web for your AI. Now build what wasn’t possible before. Build AI agents with live web data, then join the SF onsite finale at Bright Data’s new Web Data Loft. 🚀 The onsite experience will take place during the opening of Bright Data’s new SF space, The Web Data Loft. 📍 On-site Venue (May 30–31): The Web Data Loft 625 2nd St, San Francisco, CA 🏆 $18,300 cash prize + Bright Data AI Startup Program opportunities 🍕 Free food, drinks, networking, workshops, mentorship, and live demos 🎁 Onsite attendees are automatically entered into a live giveaway for 4 × $100 Amazon gift cards. 🧑‍💻 Apply now to build AI agents powered by real-time web access.

Transforming Enterprise Through AI

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

AMD Developer Hackathon

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.