GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Sign in
  • ActionsCI/CD and automation
  • CodespacesCloud development environments
  • All Features
  • Documentation
  • Training
  • Certifications
  • Build with Copilot
  • Customize Copilot
  • Integrations
  • Trending repos
  • GitHub Sponsors
  • Developer articles
  • Enterprises

This view

  • Original page
  • New address

GeezerVison is showing github.com — ritunjaym - Overview

@ritunjaym ritunjaym Follow
More
  • Overview
  • Repositories
  • Projects
  • Packages
  • Stars
@ritunjaym
ritunjaym
Follow
View ritunjaym's full-sized avatar

Ritunjay ritunjaym

Follow
AI Engineer / Full-stack SWE
8 followers · 66 following
  • in/ritunjaym
  • ritunjay7

Achievements

Achievement: Pull SharkAchievement: Pair Extraordinairex2

Achievements

Achievement: Pull SharkAchievement: Pair Extraordinairex2
More
  • Overview
  • Repositories
  • Projects
  • Packages
  • Stars
ritunjaym/README.md

Hi there 👋

Ritunjay Murali

Hi, I’m Ritunjay. I’m a software engineer building enterprise AI applications for financial services.

I currently work at Intellect Design Arena, where I build full-stack AI systems on the Purple Fabric platform, ranging from LLM pipelines and multi-agent workflows to databases and backend services. Recent work includes compliance automation, wealth management tools, and lending workflows.

My background spans backend systems, ML infrastructure, and full-stack development. I’ve built web applications with Vue.js and Node.js, engineered large-scale geospatial data pipelines, developed blockchain security analysis systems, and published IEEE research on disease classification. Recently built VectorScale (production vector search at 100M scale with 95% cost reduction) and CodeLens (two-stage ML ranking with 9× model compression).I’ve also worked on forest classification, automated discovery systems, gaming analytics, and satellite network performance analysis.

What drives me is building reliable software that solves real problems, whether that means optimizing backend performance, designing scalable APIs, automating business workflows, or applying machine learning in production systems. I enjoy working across the stack and learning through hands-on projects.

Open to software engineering roles across backend, full-stack, AI engineering, data engineering, and ML. Always learning and happy to contribute to impactful projects.

Projects

  • VectorScale — Production vector search infrastructure at 100M scale with 95% cost savings vs managed services. Link
  • CodeLens — Two-stage ML ranking system with 9× model compression and real-time collaborative code review. Link
  • Starlink handover analysis — mobility + network performance. Link
  • Respiratory sound classification — applied ML with a short paper. Link

Contact

  • LinkedIn: Ritunjay Murali
  • Email: [email protected]

Pinned Loading

  1. VectorScale VectorScale Public

    Production vector search at 100M scale with 95% cost savings. C#/.NET 8 + Python ML, Azure Container Apps, 99.99% uptime.

    Python 1

  2. codelens codelens Public

    AI-powered code review — two-stage ML ranking (CodeBERT + distilRoBERTa) on GCP Cloud Run + Vertex AI, dual-stack frontend (Solid.js + Next.js)

    HTML

  3. starlink-satellite-handover-analysis starlink-satellite-handover-analysis Public

    Empirical analysis of LEO satellite network handover behavior using real Starlink performance data. Automated collection of 500+ data points revealing 73% connection stability and optimal elevation…

    Jupyter Notebook 4

  4. respiratory-sound-classification-ai respiratory-sound-classification-ai Public

    AI-powered respiratory disease detection using deep learning on audio spectrograms | Published IEEE Research | Multi-class classification of 8 respiratory conditions including COPD, Asthma, and Pne…

    Jupyter Notebook 1

Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.

Uh oh!

There was an error while loading. Please reload this page.

You are visitor 01402503 — GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.