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g33 labs
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Last saved: December 12 at 5:59 AM GMT
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Emmanuel Karibiye Team Lead RSVP Approved
CoFounder & CTO at CallCrewAI
Emmanuel Worked on ideation, working with the ui and repo with bolt and blackbox and building the base framework of the project and deployment on firebase. clerk was used for authentication
I’m Emmanuel Karibiye, a mechanical engineering graduate who discovered a deep passion for software midway through my degree. That shift led me to software and AI opportunities from JPMorgan, Amazon and a Production Engineering fellowship at Meta. Today, I’m the Co-Founder and CTO of CallCrewAI, where I’m building intelligent agentic systems that empower trades and field-service teams. I’m currently interested in multi-agent systems and scalable cloud infrastructure to push the boundaries of technology. Fun fact: I’m equally driven by music and art, they keep my creativity sharp.
I’m interested in connecting with people working in AI infrastructure, multi-agent systems, voice interfaces, and tools that augment human productivity. I’m also looking to collaborate with engineers and researchers who are passionate about building intelligent systems that operate in real-world workflows.
currently I am working on CallCrewAI. The autopilot for trades and field service teams.
Adelin Diac RSVP Approved
CEO at CallCrewAI
Adelin worked on the ui and backend integrations with elevenlabs for TTS, our model used was gemini
Adelin Denis Diac is the Co-Founder & Chief Executive Officer of CallCrewAI, operating out of Dublin, Ireland. Adelin holds a Bachelor of Engineering in Mechatronics from Dublin City University. He has experience as an engineer at IBM and SIG.
AI, ML, SaaS, automation, startups, football (soccer)
CallCrewAI - The autopilot for trades & field services - https://www.callcrew-ai.com
Personal Side Project - LinkPad, link organising, searching & sharing - https://linkpad-adelindiac-site.web.app/
Aditya Joshi RSVP Approved
Founder // Student at Patch
worked on back end integration and functionality
AI engineer, builder, and undergrad student working at the intersection of machine learning, creative technology, and problem-solving. I’ve won awards at EUCYS, ISEF, and BT Young Scientist, built projects from satellite-based hedge-cutting detection to AI-powered aural exam tools, and worked across computer vision, optimization, and full-stack development. I like bringing ambitious ideas to life: whether for research, products, or playful experiments.
AI systems, computer vision, robotics, optimization, creative tech, satellite and environmental sensing, entrepreneurship, education-tech, and early-stage product building. I’m especially interested in collaborating with engineers, founders, and researchers working on impactful applications of AI.
research.
Eniola Olumeyan RSVP Approved
CS Student Researcher at Trinity College Dublin
worked on ideation and backend integration and functionality
Trinity CS undergrad (’26). Software engineer focused on multimodal systems, real-time reasoning, and end-to-end product hacking. prev SWE intern @ Bloomberg Dublin and ML SWE intern @ Bloomberg London. Former FPGA researcher (Laidlaw Scholar). Simulation engineer for Eirspace, Ireland’s first student rocketry team; previously path-planning engineer for Formula Trinity. 1st place OpenAI track at Hack Ireland ’25 for building Centrion, a real-time natural-language video-query engine. Now building accessibility software for TCD’s speech & phonetics lab and vibecoding a model-agnostic NotebookLM clone. I like working on research tooling, multimodal systems, video reasoning engines, distributed systems, and experimental LLM UX.
Realtime multimodal agents, llm orchestration for better agents, speech+vision systems, high-speed inference pipelines, RAG beyond text docs (audio + video), dev tooling, connecting with people building frontier UX for LLMs, people exploring agentic workflows, or anyone working on RL and agents environments.
Currently building a fully working NotebookLM-style multimodal workspace: upload a corpus of documents, get semantic understanding + intelligent indexing across all files. Model-agnostic (Claude, GPT, local models via Ollama). Also experimenting with podcast-style audio generation using ElevenLabs and building a reasoning layer for multi-document question answering. Planning to open-source once stable.