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Venkatesh Shivandi

Applied AI Engineer | Full‑Stack Developer

I design and ship production ready AI systems that solve concrete problems, not just demos. My work sits at the intersection of applied machine intelligence, full‑stack engineering, and reliability taking vague requirements and turning them into robust tools that slot into real workflows.

I started in enterprise software at Cognizant, working on large‑scale data and infrastructure migrations, then moved into applied AI building automation systems in finance and healthcare where accuracy, uptime, and trust are non‑negotiable. Today, I own products end‑to‑end: rapidly grasping ideas, expanding them into broad visions, and delivering AI tools that execute tasks, integrate cleanly, and create user value from day one.

My unique strength is bringing multi‑perspective insights to the table blending technical depth with product thinking, domain context, and pragmatic tradeoffs to build solutions that stand out. I ship functional prototypes fast, validate with users, and harden winners into production systems. As a continuous learner, each project sharpens my ability to deliver more reliable, scalable impact.

If you're looking for someone who can own, design, build, and ship AI products not just experiment with models that's the kind of work I do.

View Resume View Projects GitHub

Featured Projects

Waynew Personalized Learning Platform
Full Stack AI

AI-driven platform that turns a simple learning goal into a complete, personalized course adaptive to user progress.

Aosenuma Electronic Invoicing System
Production

Production AI system processing invoices with 95% accuracy using Azure Document Intelligence, reducing operational costs by 6-7 times.

Roux-MMC: Advancing Cardiac Surgery Risk Prediction
Research

Roux-MMC outperforms the STS benchmark across eight outcomes, enabling clinicians to better manage high-risk patients with interpretable ML models.

DocForge-AI -- Waynew Platform
Open Source

CLI-first AI documentation system solving engineering bottlenecks with consistent, PRD-driven workflows.

MRLBA: Natural Language Database Queries
Text-to-SQL

Text-to-SQL RAG system that makes large CSV datasets queryable through natural language conversation, powered by local LLMs.

Beyond the Code

When I'm not building, I'm usually on a road trip exploring new places, watching thriller movies, or experimenting in the kitchen. I moved to the US from India for Master's and have been building ever since both professionally and through communities like Azure Foundry and Google Developer Groups.

Latest from blog

How to Make Data-Driven Decisions (Using a Simple Framework Anyone Can Use)

Learn a simple weighted scoring framework to make better decisions about apartments, jobs, purchases, and projects using data instead of gut feeling.

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Waynew Personalized Learning Platform Full Stack AI

Aosenuma Electronic Invoicing System Production

Roux-MMC: Advancing Cardiac Surgery Risk Prediction Research

DocForge-AI -- Waynew Platform Open Source

MRLBA: Natural Language Database Queries Text-to-SQL