Aditya Mulay@adityamulay
1
Events attended
1
Submissions made
India
4+ years of experience
About me
I’m a final year Cloud Computing student at MIT ADT University with hands-on experience in AI, cloud computing, distributed systems, and computer vision. I’ve worked as a Software Engineering Intern at Accenture, where I developed cloud and GenAI-based applications using Java, Spring Boot, Docker, and Agile methodologies. Currently, I’m working on drone systems and autonomous vision technologies at Cerebrospark Innovations, focusing on MAVLink, OpenCV, RTL-SDR, LoRa telemetry, and autonomous landing systems. I enjoy building impactful AI products and research-driven projects. Some of my notable projects include Aurora AI, an AI-powered mental health platform that received ₹2,00,000 in funding, RetinologyAI for diabetic retinopathy detection using deep learning, and Audoria, an AI-based music interpretation tool. I’m also deeply interested in AI agents, cloud infrastructure, and scalable systems, and I actively participate in hackathons, technical competitions, and innovation events. Beyond development, I’ve led technical events, won ideation and debate competitions, and continuously explore new technologies across AI, automation, robotics, and distributed computing. My goal is to build innovative AI-driven systems that combine strong engineering with real-world impact.
🤝 Top Collaborators
.png&w=640&q=75)
.png&w=640&q=75)
🔥 Own Projects
🤓 Latest Submissions
Synapse Corp AI
Synapse AI is an enterprise-grade multi-agent workflow automation platform designed to simulate how real organizations operate using autonomous AI agents. The platform includes specialized agents such as HR, CTO, CFO, CEO, and Risk Management agents that collaborate intelligently to perform tasks like AI-driven interviews, candidate evaluation, operational analysis, workflow automation, and executive decision-making. Unlike traditional AI assistants or single-agent chatbots, Synapse AI focuses on collaborative intelligence where multiple AI agents communicate, reason, and coordinate together to solve complex organizational workflows in real time. The system supports multimodal interactions including text, documents, reports, and speech inputs, allowing users to simulate real enterprise environments and automate time-consuming operational processes. For example, users can conduct AI-powered HR interviews, upload business reports for executive analysis, or generate strategic recommendations through coordinated AI agent discussions. Technically, the platform is built using Next.js, FastAPI, Gemini AI, Speechmatics, Supabase, Docker, and Vultr cloud infrastructure. The architecture uses scalable distributed services, asynchronous processing, and modular AI orchestration to ensure reliability, low latency, and production-style deployment readiness. Synapse AI demonstrates how autonomous AI systems can function like real organizational teams, helping businesses improve operational efficiency, reduce repetitive manual work, accelerate decision-making, and create scalable intelligent enterprise workflows for the future of AI-driven organizations.
19 May 2026
