Question 1

Who is Hadi Badami?

Accepted Answer

Hadi Badami is an AI/ML engineer and full stack developer based in Ahmedabad, India. He works as an AI engineer at LearnCrate AI and takes on freelance and contract work building RAG systems, AI voice agents, LLM automation, data pipelines, and production web and mobile applications. He is Oracle AI Vector Search certified and studies Computer Science (Data Science) at Vishwakarma Government Engineering College.

Question 2

What services does Hadi Badami offer?

Accepted Answer

Six main areas: AI/ML engineering (RAG pipelines, LLM integrations, vector search, AI chatbots), AI voice agents and call automation, full stack web development with Next.js, React, Node.js and FastAPI, cross-platform mobile apps with React Native and Expo, business automation and web scraping pipelines, and Shopify e-commerce builds with payment and logistics integrations.

Question 3

Is Hadi Badami available for freelance or contract work?

Accepted Answer

Yes. Hadi has worked as a freelance developer since August 2025 across AI, web, and mobile projects, and takes on new freelance and contract engagements. The fastest way to reach him is email at hadibadami06@gmail.com or a direct message on X at @beinghadibadami.

Question 4

How do I hire Hadi Badami for an AI or web project?

Accepted Answer

Email hadibadami06@gmail.com with your project scope, timeline, and budget, or send a DM on X at @beinghadibadami. Including the problem you want solved, the systems it must integrate with, and your target launch date makes the first reply far more useful.

Question 5

Can Hadi Badami build a RAG system or a chatbot over my own data?

Accepted Answer

Yes. RAG is his core specialty. He built GitChat, a retrieval-augmented chatbot that indexes entire GitHub repositories so developers can query large codebases in natural language, and a jurisprudence chatbot that answers strictly from a fixed source corpus with no outside model knowledge. He works with Python, FastAPI, Pinecone, and vector search, and holds an Oracle AI Vector Search certification.

Question 6

Does Hadi Badami build AI voice agents that handle phone calls?

Accepted Answer

Yes. He built Callease AI, a voice orchestration platform that deploys human-like AI agents to handle inbound and outbound calls for Australian businesses, qualify leads, and book meetings 24/7. The work covers low-latency voice pipelines, persona and knowledge-base configuration, CRM and calendar automation, number provisioning, and transcript-based monitoring.

Question 7

What is Hadi Badami's tech stack for web development?

Accepted Answer

Frontend: Next.js, React, TypeScript, and Tailwind CSS. Backend: Node.js with Express, plus Python with FastAPI or Flask. Data: MongoDB, PostgreSQL, Redis, and Pinecone for vectors. Infrastructure: Docker, AWS, and Render. He has also shipped production PHP work with payment gateway integrations.

Question 8

Does Hadi Badami do mobile app development?

Accepted Answer

Yes, cross-platform apps with React Native and Expo. He built SLC, a communication suite with real-time messaging, video conferencing, and VOIP-to-PSTN calling, and the Candidate App for The North Tech Labs, a career platform with real-time chat via Socket.io and Stripe payments.

Question 9

Can Hadi Badami automate business workflows or scrape data at scale?

Accepted Answer

Yes. He built CarPHD, a data pipeline covering 270+ car records with Google reviews scraping and dealer and service-centre enrichment, and OSMO, a marketing automation suite that unifies content generation, scheduling, SEO, and outreach across LinkedIn, Meta, Google Ads, and X. His scraping stack includes Python, BeautifulSoup, and Selenium.

Question 10

Does Hadi Badami build Shopify or e-commerce stores?

Accepted Answer

Yes. He built Suprhealthy, a live Shopify store selling monk fruit sweeteners, using custom Shopify Liquid theming with Razorpay for payments and Shiprocket for automated shipping and order tracking.

Question 11

What should I look for when hiring an AI/ML engineer?

Accepted Answer

Look for shipped production systems rather than notebooks and demos, because the hard part of AI work is retrieval quality, latency, cost, and failure handling. Ask how they evaluate output quality, how they prevent hallucination, how the system behaves when a model or API fails, and whether they can own the surrounding product work such as APIs, databases, and frontend. Hadi's portfolio shows live AI products with real users across voice, research automation, recruitment, and developer tooling.

Hello, I'm Hadi.|

About

Work Experience

Featured Work

CarPHD

Fonda

Wariku

Aire Real Estate

GitChat

SLC

Education

Certifications

Competitive Builds

HackTheSpring (GEC Gandhinagar)

DAIICT Tic Tac Toe 2025

Nirma University (NASA Space Apps Challenge)

DAIICT Hackout 2025

Noble University Hackathon

DAIICT Tic Tac Toe