Available for AI/ML roles & collaborations Rajkot, Gujarat · India

AI / ML Engineer

Harikrishna
Vora.

I ship | — end-to-end, not prototypes.

An AI-first builder who turns dense, unstructured data into decisions a domain expert can trust — grounding LLM output in real, live business data.

5live data sources grounded in one AI CFO
4,000+users on systems shipped to production
6-agentsequential pipeline, self-scoring
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Live data sources
Grounded in one AI CFO (Profify)
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Users reached
Production systems in the field
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Flagship AI builds
Profify · Vyaar Saathi · Multi-Agent
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Current CGPA
B.E. Computer Engineering (AI & ML)
About

Turning dense data into decisions you can trust.

Harikrishna Vora
Harikrishna VoraAI/ML Engineer · Rajkot, India

I'm an AI-first builder who ships production LLM applications end-to-end. My flagship, Profify, is an AI CFO platform that grounds LLM output in customers' own transactional data across Shopify, Meta Ads, Google Ads, Razorpay, and Cashfree.

I've also built Vyaar Saathi, a multilingual conversational AI assistant for offline SMEs, and a six-agent marketing automation pipeline with a self-improving scoring loop. I'm drawn to problems where AI must turn dense, unstructured data into decisions a domain expert can trust.

I'm full-stack across Python, Node.js/TypeScript, React, SQL, and AWS — and currently a Computer Engineering (AI & ML) student at Atmiya University, where I lead the Atmiya Developer Student Club (ADSC).

“Ship production LLM applications, not prototypes — and make every answer traceable to the data.”

AI-first

LLM applications designed and shipped end-to-end — not notebook prototypes.

Grounded & traceable

Every insight traces back to real source data — trust and auditability by design.

Full-stack

Python, Node.js/TypeScript, React, SQL, and AWS — from data to interface.

Production-minded

Moving models from experiments to systems that support real decisions.

Selected Work

AI systems, shipped.

Production LLM applications and engineering systems — grounded in real data, used by real people.

// AI & LLM Projects

Vyaar Saathi

Multilingual AI Assistant for Offline SMEs

A multi-layer ML pipeline paired with a multilingual (Gujarati, Hindi, English) conversational AI assistant for India’s offline SME market — owned end-to-end from data ingestion through conversational interface design.

Claude APIPythonMulti-layer MLMultilingual NLP

// Other Engineering

Toolkit

The stack behind the systems.

From LLM application design down to the cloud it runs on.

AI / LLM

Claude APILLM app designPrompt/agent pipelinesStructured data extractionRAG-style groundingMultilingual NLP

Languages

PythonJavaScript / TypeScriptSQL

ML / DL

TensorFlowKerasPyTorchScikit-learnOpenCVPandasNumPy

Backend & Data

Node.jsFastAPIPostgreSQLSupabaseMongoDBRedis

Frontend

React.jsNext.jsTailwind CSS

Cloud & Tools

AWS (EC2, S3)DockerGitVercelRender
Journey

Experience & education.

The path from experiments to production systems.

Experience· Jul 2025 – Sep 2025

Machine Learning Intern

ML Internship

  • Built and deployed voice-based sentiment analysis and sales forecasting models, converting unstructured customer voice data into structured, actionable business insight.
  • Engineered production-ready ML pipelines — moving models from notebook experiments to systems supporting real business decisions.
Leadership· Ongoing

Lead — ADSC

Atmiya Developer Student Club · Atmiya University

  • Lead a technical community: organize developer events and mentor student teams building real products.
Education· 2023 – PresentCGPA 8.21 / 10.0

B.E. Computer Engineering (AI & ML)

Atmiya University

  • Focused on artificial intelligence and machine learning.
Let's talk

Have data that should be making decisions?

Ask Paula — my AI assistant — anything about my work, or reach me directly. I'm open to AI/ML roles and collaborations.