Sarath Chandran
AI Agent Developer | LLM | TypeScript | Frontend Architect
New to Contra
Sarath is ready for their next project!
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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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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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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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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