Context Engineer on Sully.ai's Research Team, building AI Scribe: a multi-agent, multi-modal clinical documentation system. I work on dynamic prompting, eval-driven prompt evolution, and model routing for healthcare AI. Previously AI Agent Systems Manager at 99Ravens, with 7 years in B2B marketing before moving into AI engineering.

Healthcare AI evaluation, multi-agent coordination, dynamic prompting/evolution systems, coding-aware clinical documentation (ICD-10, SNOMED, HCC), and open-source model routing. Also looking to connect with engineers/researchers shipping reliable agentic systems in real clinical environments.

Sully AI Scribe: dynamic prompting + multi-agent evals

I’m a Master’s student in Software Engineering at Ontario Tech University,I pasionately focus on AI-driven autonomous vehicle software systems. My work brings together machine learning, computer vision, and human–machine interaction to design cars that can adapt to both driver emotions and road context. I love exploring how emotion-aware AI can make autonomous systems safer, more trustworthy, and more human-centered. Alongside my research, I have hands-on experience with deep learning, real-time computer vision, and deploying models on the cloud using AWS and Docker. I’m passionate about building intelligent systems that don’t just work in theory, but run efficiently in practice. I’ll be graduating in Fall 2025 and am excited about opportunities in ML engineering and adaptive systems.

I’m curious about how AI can be used to build systems that are not only intelligent, but also human-centered and trustworthy. My interests span machine learning, computer vision, reinforcement learning, and multimodal AI, with a focus on making models run efficiently in real-world settings. I’m excited to explore areas like explainable AI, agentic systems, cloud-based ML deployment, and human–AI collaboration, and I’d love to connect with others experimenting with creative applications of AI.

Right now, I’m tinkering with a framework that brings together multiple CNN-based models to recognize driver emotions, driver actions, traffic conditions, and vehicle dynamics — all fused into one adaptive system. The goal is to make AI-driven cars more responsive to both people and context, with real-time inference under 100ms. I’ve also been experimenting with AWS and Docker to scale these models beyond research and into more production-ready environments.

I’m Krutarth Patel, a senior-year computer science student at Toronto Metropolitan University with a passion for software development and building meaningful technology. Through multiple internships, I’ve gained hands-on experience across frontend development, backend systems, and AI-driven solutions. I’m always eager to take on new challenges, expand my skills, and explore how software engineering and machine learning can come together to create impactful results.

Artificial Intelligence, Machine Learning, Automotive Engineering, Cyber Security, Computer Vision, Natural Language Processing, Cloud Technologies, Software Development, Frontend Development, Backend Systems, CI/CD Pipelines, AI-driven Solutions

I am working on solana based token launching project thesoltoken.fun

Kejvi Peti is an iOS Developer currently working as a Senior Software Engineer at Anheuser-Busch while also pursuing freelance development projects. With over 5 years of experience in the tech industry, he holds a Bachelor's degree in Computer Science from the University of Tirana. Kejvi has a proven track record in iOS application development, utilizing Swift and Objective-C to create innovative mobile solutions. His professional background includes project management and team leadership roles, where he has demonstrated skills in creating inclusive environments and collaborating effectively with scrum teams. Passionate about technology and client relationships, Kejvi focuses on delivering high-performance mobile applications and enhancing product quality through strategic technical design

AI in medicine, quantum machine learning, Machine Learning

Currently developing iOS applications as a freelance developer, focusing on creating innovative mobile solutions. Leveraging Swift and Objective-C to design and implement complex iOS apps. Collaborating with scrum teams to enhance product quality and conducting thorough code reviews. Utilizing technical design skills to deliver high-performance mobile applications for various clients.