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isidhartha/README.md

Ram Sidhartha

Machine Learning Engineer building autonomous systems, developer tools, and applied AI infrastructure.

Most of my work focuses on practical ML systems:

  • multi-agent workflows
  • retrieval systems
  • infrastructure intelligence
  • browser/desktop automation
  • AI-assisted development environments

Projects

NexusOS

A voice-controlled AI workspace that can operate desktop applications, browsers, files, scripts, and smart-device workflows through natural language commands.

Built with: Python · FastAPI · Whisper · Playwright · Redis

OmniAgent

A multi-agent execution framework where specialized agents collaborate on engineering tasks such as planning, debugging, reviewing, and code generation.

Built with: LangGraph · FastAPI · WebSocket · OpenAI APIs

OmniRAG

A multimodal retrieval engine for PDFs, images, codebases, audio, and video using hybrid semantic + keyword retrieval pipelines.

Built with: ChromaDB · PostgreSQL · FastAPI · Vector Search

InfraOS AI

An infrastructure monitoring layer for Kubernetes environments with anomaly detection, root-cause analysis, and natural-language observability workflows.

Built with: Kubernetes · Prometheus · Docker · Python

CodeForge AI

A browser-based AI development environment with semantic code understanding, debugging assistance, and project-aware code generation.

Built with: Next.js · Monaco · TypeScript · WebSocket

CyberShield AI

A self-hosted security platform combining static analysis, dependency scanning, secret detection, and AI-assisted remediation workflows.

Built with: Python · FastAPI · OWASP · CVE Analysis

InsightFlow AI

A lightweight analytics platform with AI-generated insights, retention analysis, funnel tracking, and anomaly detection.

Built with: React · PostgreSQL · Redis

Packages

  • @isidhartha/nexus-client
  • @isidhartha/insightflow

Stack

Python · FastAPI · TypeScript · Next.js · React · Docker · Kubernetes · PostgreSQL · Redis · LangGraph · ChromaDB · Playwright

Interests

I'm mainly interested in machine learning systems that interact with real environments instead of isolated chat interfaces — systems that can reason over context, orchestrate workflows, and take meaningful action.

Pinned Loading

  1. nexus-os nexus-os Public

    An AI-powered operating environment I built to act like a personal Jarvis. It listens for a wake word, understands voice commands, controls your browser and desktop apps, manages files, and runs mu…

    Python

  2. infra-os infra-os Public

    An AI layer on top of your Kubernetes cluster and Prometheus setup. Instead of staring at graphs and guessing why a pod is crashing, you just ask it. Runs in mock mode if you don't have a cluster yet.

    Python

  3. codeforge-ai codeforge-ai Public

    A browser-based IDE with an AI assistant built in. Monaco editor (same engine as VS Code), streaming AI completions, an embedded terminal, and a code-server integration so you get full VS Code in t…

    Python 2

  4. cybershield-ai cybershield-ai Public

    A security tool for developers who want to catch vulnerabilities before they ship. Scans code for secrets, checks dependencies against CVE databases, runs OWASP checks, and uses AI to explain what …

    Python

  5. insightflow-ai insightflow-ai Public

    A self-hosted analytics platform with an AI insights layer. Drop a JavaScript snippet on your site, and it tracks users, builds funnels, calculates retention, and generates heatmaps. The AI analyze…

    Python

  6. omni-rag omni-rag Public

    A knowledge engine that lets you upload anything - PDFs, images, codebases, audio files - and then ask questions about all of it. Uses hybrid search (semantic + keyword) under the hood and always c…

    Python 1