Builder at heart and constantly looking for problems worth solving. 1/8 fellows for the AI Engine's 'The Engine room' fellows in the UK/EU Ex-founder for a b2b PaaS. Led a portfolio company at a venture studio and have worked in venture settings and the startup space. Done a Research internship at St Andrews on a project in partnership with the Griffith institute at Oxford, working with ML parsers.

I’m fascinated by pushing the boundaries of AI, from building intelligent workflows to exploring how research becomes real products. I am drawn to problems at the edge of what is possible, turning models into tools that reshape how people work, create and connect. I am looking for cofounders who share a passion for tackling big questions in AI and transforming bold ideas into impactful ventures.

Currently working in the agent governance space. In my spare time, playing around with multi LLM debate workflows, continuous thought machines and exploring quantifying hallucination.

I’m Sahil and I see myself as a builder at heart, someone who enjoys taking an idea from a rough thought to a finished product. I completed my masters in Data Science at the University of Edinburgh with Distinction. I worked with AI agents during my thesis where they analysed long financial documents for market prediction and I was runner up at Scotland's largest hackathon, HackTheBurgh, where we built an agentic course assistant for students. I have interned at Cognext.ai on agentic systems for banks where I helped reduce latency and improve the workflow of their text to SQL agents. Before this I built an automated data analysis tool at the Mumbai Airport which sparked my love for building things that people actually use. I enjoy chess, squash, running and making music.

I am interested in collaborating on exciting AI products and exploring innovative applications of machine learning in finance. I am particularly keen to connect with others working on AI-driven financial analysis, predictive modelling, or intelligent agent systems, and to learn from experts developing novel solutions at the intersection of data science, AI, and financial services.

I’m building Agent Studio (preview: sahilbavishi.com) to give people real control over the AI they use. Right now, the backend beyond the interface is a black box. With Agent Studio, I want to make AI assistants genuinely useful for daily life, let non-technical users design systems for their own needs, and combine smaller models into networks that outperform larger ones, making AI more accessible, customisable, and practical for everyone.

I’m a results-driven full-stack developer with a strong interest in AI and machine learning, and I love building web applications that actually make a difference for users. Currently, I’m pursuing my B.Tech in Artificial Intelligence & Data Science (CGPA: 9.71/10), where I’m constantly learning new things and applying them to real-world projects. Over the past few years, I’ve gained hands-on experience working with modern frameworks like Next.js, React, and Node.js, as well as backend tech like FastAPI, MongoDB, and PostgreSQL. I enjoy tackling challenges that involve both frontend and backend, and I’m especially interested in how AI/ML can be used to optimize user experiences and drive real results.

I seek a collaborative, innovative environment that values learning, teamwork, and diverse perspectives. I thrive where open communication and cross-functional collaboration are encouraged. Being part of a dynamic team focused on impactful technology solutions aligns with my goals for professional growth and meaningful contributions.

Recently Launched MCRender, a utility for creating Minecraft thumbnails, it has amassed over 10K MAUs. Previously have also created Minecraft mods with over 750k downloads and upwards of 2M impressions collaborating with top Minecraft creators.