AW//Since '03// Pune, IN

Avinash Warale. Generative AI developer. Currently helping businesses turn Conversations into automation at Chatzy AI.

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About

Hey! I'm Avinash, a developer based in Pune, Maharashtra, working on generative AI and machine learning. Most of my time goes into building and shipping AI products with Python, Transformers and a bit of MLOps.

I care about doing AI the right way, with thoughtful prompts, clean systems, and products that hold up once real people start using them.

Not just in a demo. A quick learner who loves a good challenge, I enjoy taking bold ideas and actually making them happen.

  • Experience // Years

    [3+]

  • Certifications // Completed

    [5+]

  • Projects // Shipped

    [10+]

  • Languages //

    Python, TypeScript

  • Web //

    React, Next.js, Node.js

  • Models //

    PyTorch, Transformers, OpenAI API, Vertex AI

  • Systems //

    RAG, AI Agents, MCP, Prompt engineering

  • Data //

    MongoDB, Google Sheets

  • Frontend //

    HTML, CSS, Tailwind CSS

  • Integrations //

    Webhooks, REST APIs, CRMs, WhatsApp

  • ML apps //

    Streamlit

  • Tools //

    Claude Code, Git, GitHub

  • Deploy //

    Vercel, Netlify

Experience

Since November 2025 I've been a Client Success & Implementation Specialist at Chatzy AI, implementing AI-powered customer support and sales automation for businesses across multiple industries.

Before that I interned on the same platform, working on LLM-based conversational systems, and spent more than three years freelancing, building websites and web apps for clients across many industries.

Conversations, flows, webhooks and a lot of edge cases. That's the job, and I love it.

  • Chatzy AI // [Current]

    Nov 2025 – Present

    Client Success & Implementation Specialist

    • Implement AI-powered customer support and sales automation solutions for businesses across multiple industries.
    • Design conversational and flow-based AI agents for lead qualification, customer support and WhatsApp automation.
    • Build end-to-end automation workflows by integrating webhooks, REST APIs, Google Sheets, CRMs and external services.
    • Develop prompt engineering strategies, conversation logic and knowledge bases to improve AI response quality and user experience.
    • Collaborate with product and engineering teams to test new platform features, identify edge cases and optimise AI workflows.
    • Create technical documentation, implementation guides and onboarding resources for customers and internal teams.
    • Work closely with clients to customise AI solutions, troubleshoot integrations and ensure successful deployments.

  • Chatzy AI // [Internship]

    Jun 2025 – Nov 2025

    Software Development Intern

    • Worked with LLM-based conversational systems, prompt engineering and knowledge base integrations to improve response quality.
    • Collaborated with the product and engineering teams to implement, test and optimise new platform features.
    • Assisted in troubleshooting, debugging and deploying scalable AI solutions across multiple client use cases.

  • Freelance // [Self-employed]

    Mar 2022 – Nov 2025

    Freelance Web Developer

    • Designed and developed responsive websites, landing pages and custom web applications for clients across various industries.
    • Built full-stack solutions using modern web technologies, focusing on performance, usability and maintainable code.
    • Collaborated directly with clients to gather requirements, propose technical solutions and deliver projects on schedule.
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Projects

Most of what I build sits somewhere between machine learning and the web: classifiers that ask hard questions, platforms people log into every day, and bots that talk back.

A few more projects are cooking. They will land here when they're ready.

Small tools, real users, and a lot of learning along the way.

Research & Recognition

In 2025 I published and presented our work at the 12th Workshop on Argument Mining, held at ACL 2025, the 63rd Annual Meeting of the Association for Computational Linguistics in Vienna, Austria.

We contributed to the workshop's shared task on multimodal argumentative fallacy detection and classification in political debates.

Teaching machines to notice when an argument doesn't quite hold up.

* Multimodal fallacy classification // * Political debates

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Contact

Have a project in mind, a role to offer, or just want to connect? My inbox is always open.

Let's build something bold.
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