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vijayengineer/README.md

Vijay Lakshminarayanan

Agentic AI Engineer | AI Systems Architect

I build agentic AI systems, backend services and cloud applications at RNDM, working across Python, TypeScript/JavaScript and AWS/GCP. My work also spans Solidity smart contracts, blockchain RPC integrations and financial research workflows, supported by more than ten years in automotive systems engineering.

Selected projects

Project What I built Technologies
Jenius · Live app An AI learning application with deterministic progression, backend APIs and persistent learner state. React, TypeScript, Node.js, Fastify, Firestore, GCP
Pi Web Auditor A website smoke-audit tool producing browser evidence, deterministic quality scores and Markdown/JSON reports. TypeScript, Playwright
Ghost Ghost — One Mind. Many Bodies. Can small, biologically inspired models help robots learn skills? Python, Typescript, IsaacSim, Model build

Financial research

Ganesh combines market-data analysis, domain-specific distilled models and probabilistic forecasting with a deterministic framework for portfolio and risk controls. Research outputs remain separate from execution.

Watch the Ganesh research demonstration

Connect

RNDM · Email

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  1. PDFTextSpeechConverter PDFTextSpeechConverter Public

    Converts scanned documents and ordinary documents into speech mp3 using Amazon Polly

    Python 6 1

  2. jenius jenius Public

    Adaptive AI learning app built with React, TypeScript, Fastify and Firestore, deployed on Google Cloud and Vercel.

    TypeScript

  3. RNDMFrontend/Molteros RNDMFrontend/Molteros Public

    TypeScript

  4. pi-web-auditor pi-web-auditor Public

    TypeScript and Playwright website auditor producing deterministic quality scores, browser evidence and Markdown/JSON reports.

    TypeScript

  5. RNDM-IO/molteros RNDM-IO/molteros Public

    Molter: Agent in a box, Monad hackathon submission

    Solidity