Sarath Chandran's Work | ContraWork by Sarath Chandran
Sarath Chandran

Sarath Chandran

AI Agent Developer | LLM | TypeScript | Frontend Architect

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Bengaluru, India

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Bengaluru, India

Cover image for Minova Systems -
Minova Systems - Accessibility + SaaS + Frontend Architecture Minova Systems is a technology initiative focused on building modern, accessible, and scalable digital products for businesses. The platform provides professional web accessibility auditing and remediation services, helping organizations identify and resolve WCAG accessibility issues across their web applications. The project combines frontend engineering, accessibility engineering, SaaS architecture, automated auditing, and AI-assisted development to create practical tools that help teams improve usability, compliance, and overall product quality. Key highlights Web Accessibility & WCAG — Accessibility auditing and remediation workflows Angular & TypeScript — Scalable frontend architecture and reusable components SaaS Architecture — Designed for multi-client and subscription-based services Automated Accessibility Analysis — Identify common accessibility issues efficiently Accessibility Remediation — Practical recommendations and developer-focused fixes Modern UI Engineering — Responsive, accessible, performance-focused interfaces AI-Assisted Development — Using modern AI tools to accelerate development and engineering workflows Cloud Deployment — Modern cloud-ready architecture and deployment practices
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Cover image for miniSara Personal AI OS —
miniSara Personal AI OS — AI-Powered Personal Assistant miniSara Personal AI OS is an AI-powered personal productivity platform designed to bring conversations, AI agents, personal knowledge, tasks, projects, automation, and integrations into one intelligent workspace. The platform is designed around a Think → Remember → Plan → Act workflow, allowing AI agents to understand context, retrieve relevant knowledge, plan tasks, use tools, and execute approved actions. Key capabilities: AI Agent orchestration Personal knowledge and memory AI-powered task and project management Workflow automation Tool calling and integrations Multi-model AI support Local-first and privacy-focused architecture Permission and approval-based actions Cross-platform experience My role: Product architecture, AI agent architecture, TypeScript engineering, orchestration, tool systems, UX architecture, and end-to-end product development.
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Cover image for miniSara Studio — AI Video
miniSara Studio — AI Video & VFX Creation Platform miniSara Studio is a mobile-first AI video creation platform designed to help creators turn ideas, images, and reference media into engaging videos. The platform supports multiple AI generation workflows including Text-to-Video, Image-to-Video, Reference Image-to-Video, Video-to-Video, Motion Transfer, VFX, Character workflows, and AI-powered media transformation. Built with a local-first architecture, miniSara Studio allows users to create and manage projects and media locally while providing an architecture that can support cloud-based AI generation providers and scalable backend services. The product is designed with a mobile-first UX, reusable architecture, asynchronous generation jobs, provider-independent AI pipelines, project management, media libraries, export/share workflows, and extensible generation modes. My role: Product architecture, frontend architecture, mobile application development, AI generation architecture, UX implementation, domain modeling, local-first storage, and engineering of the generation pipeline.
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Cover image for miniSara AI Agent - AI
miniSara AI Agent - AI Agents, LLM, Tool Calling, Agent Orchestration miniSara AI Agent is a production-oriented AI coding agent designed to help developers understand, modify, and automate software projects through natural-language interaction. I designed and developed the agent architecture with a strong focus on reliability, security, extensibility, and developer experience. The system includes an LLM provider abstraction supporting multiple providers, secure tool execution, agent orchestration, streaming responses, approval-based mutations, verification, and self-healing workflows. Key capabilities: AI agent orchestration and multi-step reasoning workflows LLM provider abstraction for OpenAI, Anthropic, and Ollama Secure tool-calling and controlled tool execution Streaming AI responses and real-time tool activity Approval workflows for potentially destructive changes Automated verification and recovery/self-healing TypeScript/Node.js architecture with strong automated test coverage Cross-platform executable and development-environment support Tech: TypeScript, Node.js, LLMs, OpenAI, Anthropic, Ollama, Tool Calling, Streaming, Agent Orchestration, AI Engineering.
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