About me

I'm an AI/ML Engineer with a passion for building impactful, real-world applications using cutting-edge technologies. My expertise spans across deep learning, natural language processing, and Generative AI. I’ve developed a variety of AI driven products-including resume analysis platforms, intelligent MCQ generators, and conversational agents, focused on enhancing productivity, personalization, and user experience.

I thrive on solving complex problems and turning innovative ideas into scalable solutions. From research and model development to deployment and user-facing integration, I enjoy working across the full AI product pipeline. My goal is to make AI practical, reliable, and accessible whether for startups, enterprises, or academic projects.

What i'm doing

  • AI Development

    AI Development

    Building intelligent systems by developing our own models using Neural Network.

  • Machine Learning icon

    Machine Learning

    Designing and training predictive and classification models in domains like healthcare, finance, and other fields.

  • LLM Finetuning Icon

    LLM Finetuning

    Fine-tuning Large Language Models for domain-specific tasks including use case generation, chatbots, and intelligent assessment systems.

  • Agentic AI icon

    Agentic AI

    Developing autonomous agents that can reason, plan, and take actions.

Testimonials

  • Daniel lewis

    Dharmik Halani

    I had the opportunity to work with Ammar on multiple AI-driven projects, and his deep understanding of Large Language Models (LLMs) and their practical applications truly stood out. He consistently brought innovative ideas to the table, and his ability to implement complex systems from RAG-based chatbots to fine-tuned models—was impressive. Ammar is not just technically sound but also a great collaborator.
    - Software Engineer at Thomson Reuters

  • Rushabh Belani

    Rushabh Belani

    Working alongside Ammar has been a great experience. His expertise in AI, especially in building end-to-end intelligent systems using LLMs, is exceptional. He approaches every problem with clarity and builds solutions that are both practical and scalable. His contributions were critical in making our projects successful.
    - Software Engineer at BosLeo

Resume

Education

  1. Master of Technology in Information and Communication Technology

    Dhirubhai Ambani Institute of Information and Communication Technology (DAIICT)

    2024-2026
    CGPA: 9.4

  2. Bachelor of Engineering in Computer Science (AI/ML)

    New L.J Institute of Engineering and Technology

    2020-2024
    CGPA: 9.65

  3. Higher Secondary Certificate (HSC)

    St. Xavier’s Higher Secondary School

    2019 – 2020
    Percentage: 64.76%

  4. Secondary School Certificate (SSC)

    St. Xavier’s Higher Secondary School

    2017 – 2018
    Percentage: 66.83%

Experience

  1. Product Designer – Startup

    May 2025 – Present

    Creating an AI-driven automated system to empower students in their placement preparation journey through intelligent and adaptive support.

  2. Technology Intern – Thomson Reuters

    Jan 2024 – Jun 2024

    Built an advanced Generative AI chatbot and designed an automated feedback processing system to streamline workflows and support product teams.

  3. Project Intern – VOIS

    Aug 2022 – Oct 2022

    Created a career guidance chatbot integrated with LLMs and developed its UI using Tailwind CSS for an enhanced user experience.

  4. Machine Learning Intern – Acmegrade

    Aug 2022 – Oct 2022

    Built machine learning models for stock prediction and cancer detection with a focus on accuracy optimization and model refinement.

Skills

Languages

  • Python
  • Java
  • HTML
  • CSS
  • JavaScript
  • Dart

Frameworks & Libraries

  • Flask
  • FastAPI
  • Flutter
  • Streamlit

AI / ML Ecosystem

  • Langchain
  • PyTorch
  • TensorFlow
  • Keras
  • Scikit-learn
  • NumPy
  • Pandas
  • Matplotlib

Tools & Platforms

  • GitHub
  • Firebase
  • PostgreSQL

Responsibilities

  1. Student Placement Cell Member – DAIICT

    Coordinated campus recruitment drives, managed communication with recruiting companies, and organized placement preparation activities for fellow students.

Publications

  1. UCGen: Leveraging LLMs for Automated Generation of Use Case Scenarios

    Proposed a pipeline utilizing Large Language Models to automatically generate software use case scenarios from natural language requirements, with an interactive feedback loop for refinement.

Contact

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