Team
Convene Ai
Project Concept
An AI meeting assistant that provides real-time screen content understanding and contextual memory, focusing specifically on technical meetings where participants frequently share code, diagrams, and technical documentation.
Entry
Status: Submitted
Last saved: November 17 at 6:07 PM PST
Team Roster
Message board not available for this team yet.
Anwar Mujeeb Team Lead RSVP Approved
Software Engineer at Bloomberg
Anwar contributed to the ConveneAI smart assistant app by implementing backend Gemini routes for transcript analysis and note enhancement. He refined meeting note functionality and ensured accurate transcript processing, allowing expanded context for better comprehension. Additionally, he integrated these features with video calls, enabling smooth transitions from live meetings to summarized insights.
Anwar Mujeeb is a motivated software engineer at bloomberg. With experience as a Software Engineer Intern at Google, ST microelectronics, Anwar has contributed to projects in autonomous driving and robotics. He possesses skills in software development, full stack development, backend analytics, and parallel processing, with proficiency in Java, C++, python, and Kotlin. Anwar is passionate about technology and is eager to gain more experience in the software engineering field. He is currently seeking full-time opportunities while actively engaging in coding projects on GitHub.
AI Agents in personal compute, vision models and uses for accessibility , scaling
Working on Ai agents and personal automation , how can you securely give data to inference engines and get it back usefully. Creating a project to have personal compute that can be accessed from anywhere for inference.
Matin Khajavi RSVP Approved
Staff AI Research Engineer at Apiphany
Matin contributed to ConveneAI by developing the agents that process transcripts and generate responses, as well as integrating Gemini for advanced transcript analysis. He refined the `agent.py` functionality to improve prompt handling and accuracy in meeting insights. His work enabled the app to provide enhanced real-time insights and contextually relevant responses.
I'm an experienced ML Scientist/Engineer passionate about combining deep theoretical knowledge with practical coding skills to build scalable and impactful solutions.
- Machine Learning Development: Proficient in developing, training, and fine-tuning models for various applications, including Natural Language Processing (NLP), Computer Vision (CV), and Bioinformatics.
- Large Language Models (LLMs): Extensive experience in fine-tuning LLMs for enhanced task-specific performance.
- Statistical Modeling & Visualization: Skilled in statistical analysis and using visualization tools to uncover hidden insights and inform decision-making.
Russell Semsem RSVP Approved
Software Engineer at San Jose State University
Russell worked on the frontend and UI of the application. He was responsible of integrating Daily Co Prebuilt and Deepgram for speech to text transcription, used by our AI models. Other developments include the navigation bar, meeting notes layout, and overall frontend routing.
Russell Semsem is a senior studying computer science at San Jose State University. He has working experience as a software engineer, product manager, and consultant doing full-stack development and cybersecurity for F500 companies and leading organizations. Russell is technically driven, working on AI-projects such as an AI-generated audio lectures for students and developing full-stack applications such as a universal shopping cart. After graduating, Russell wants to work as a full-time software engineer for a startup of any size and industry.
AI-services, Social Media, Data Analysis, Databases, Full-stack development
RetAIn is an AI platform that converts academic content into personalized audio lectures to help students simplify complex materials. I led backend development, using Node.js, PostgreSQL, and Amazon S3 for data and document storage. A Flask-based RAG model with Pinecone retrieves relevant PDF chunks, while OpenAI’s GPT-4 generates responses. Integrated with Cartesia’s text-to-speech API, RetAIn delivers engaging audio content, enhancing students' learning efficiency.
William Xuan RSVP Approved
Software Engineer at SJSU
William also worked on the frontend and UI of the application, he build components on all pages also working with Daily Co Prebuilt. Also worked on the chat feature on the summary where users are able to chat with ai in the context of their meeting.
William Xuan is a 4th-year computer science undergraduate at San Jose State University, set to graduate in December 2024. With a strong background in software development, he interned at STMicroelectronics as a characterization and modeling intern, where he automated data collection and analysis processes, increasing team efficiency. William is also an active member of Theta Tau, a co-ed professional engineering fraternity, holding various officer roles, including academic chair, recruitment chair, new member educator, and treasurer.
anything to be honest
Working on a social networking app catered towards rave enthusiasts built using flutter