AI/ML and full-stack developer focused on turning ideas into useful, scalable technology. Engineering agentic systems, real-time distributed telemetry, and high-craft human interfaces.
I’m Bhavin Shankur, Co-Founder & CEO of Orbion and a Computer Science & Engineering (AI & ML) student at MIT Vishwaprayag University, Solapur. I’m deeply passionate about artificial intelligence, software engineering, automation, and building technology that solves tangible real-world challenges.
I’m currently focused on building Orbion — an AI Operating System designed to help businesses automate and operate their everyday workflows through intelligent AI systems. I believe the next generation of businesses will not rely only on traditional software. They will work alongside intelligent AI systems capable of understanding tasks, making decisions, using tools, and executing workflows.
Rather than waiting until graduation to begin, I decided to start building now. I learn by engineering real products, experimenting with emerging models, and turning state-of-the-art AI into software people can actually use.
Autonomous orchestration, tool-calling loops, RAG architectures, and agentic workflows that understand tasks and execute multi-step operations.
Modern type-safe TypeScript & Python engineering, robust Next.js application platforms, reactive state engines, and scalable backend services.
High-craft human ergonomics, responsive design token systems, optimistic client-side updates, and accessible, high-density typographic hierarchies.
Distributed telemetry pipelines, cloud databases, persistent vector embeddings, and resilient microservices built for zero-drift performance.
AI Operating System & Autonomous Workflow Workbench
An AI Operating System designed to help businesses automate and operate their everyday workflows through intelligent AI systems capable of understanding tasks, making decisions, using tools, and executing workflows.
Educational Aircraft Telemetry & Fleet Exploration Platform
Educational aircraft website showcasing aircraft information, categories, search/filtering, and authentication. Designed with responsive flight telemetry and catalog management.
Intelligent Guidance & Career Navigation Engine
AI-powered project designed to help users explore and navigate their learning and career paths with intelligent guidance, dynamic roadmap nodes, and personalized trajectory recommendations.
Historic Apollo Guidance Computer Source Code Exploration
A collection of the historic Apollo 11 guidance computer source code, preserved and compiled for exploration and learning. Showcases low-level system architecture and early real-time computing.
Interactive Geospatial & Planetary Data Platform
Interactive web project focused on exploring and presenting information about our planet. Built with strict type safety, clean component architecture, and fluid user interactions.
Structured engineering practices centered around AI/ML workflows, resilient full-stack systems, low-level architecture, and scalable software design.
Verified open-source repositories and learning codebases maintained by Bhavin Shankur.
AI-powered project designed to help users explore and navigate their learning/career paths with intelligent guidance.
Educational aircraft website showcasing aircraft information, categories, search/filtering, and authentication.
A collection of the historic Apollo 11 guidance computer source code, preserved and compiled for exploration and learning.
Interactive web project focused on exploring and presenting information about our planet.
An AI Operating System designed to help businesses automate and operate their everyday workflows through intelligent AI systems.
“I believe the next generation of businesses will not rely only on traditional software. They will work alongside intelligent AI systems capable of understanding tasks, making decisions, using tools, and executing workflows. Orbion is my attempt to build toward that future.”
Autonomous multi-agent loops that understand high-level business goals, break them down into actionable steps, and coordinate tool execution.
A reliable state layer designed to prevent drift and hallucinations, ensuring business operations run predictably and safely.
Deep integration with enterprise vector stores and live operational data, allowing agents to act with organizational context.
Secure, sandboxed integrations connecting intelligent agents with everyday business software, APIs, and operational databases.
A self-directed path prioritizing real product architecture and tangible software execution over waiting for formal credentials.
Leading the design and engineering of Orbion — an AI Operating System built to automate and operate everyday business workflows through intelligent agentic software.
Pursuing Computer Science & Engineering with specialized focus in Artificial Intelligence and Machine Learning, combining foundational theory with hands-on systems implementation.
Started as a student with curiosity for programming and technology. Over time, that curiosity evolved into a larger ambition: creating software products that businesses and people can actually use.
Disciplines and technical competencies actively being deepened through continuous hands-on building.
Model integration, neural architectures, and applied data science.
ReAct loops, autonomous tool-calling, and stateful memory graphs.
Modern React 19, Next.js App Router, TypeScript, and clean UI engineering.
High-throughput APIs, streaming protocols, and low-latency services.
Containerization, cloud infrastructure, and distributed computing.
Workflow orchestration, deterministic pipelines, and autonomous execution.
Modular architecture, zero-drift state management, and scalability.
Translating cutting-edge AI research into viable global products.
Continuous professional coursework and intensive trainings across artificial intelligence, cloud architectures, programming languages, and prompt engineering.
Open to ambitious startup collaborations, engineering discussions, autonomous agent research, and enterprise AI opportunities.