Skip to content
View hammadfaheem's full-sized avatar

Highlights

  • Pro

Block or report hammadfaheem

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
hammadfaheem/README.md

AI Engineer | Generative AI | Voice Agents | RAG Systems

πŸ‘‹ About Me
I’m Hammad Faheem, an AI Engineer who builds intelligent systems β€” from LLM-powered chatbots to real-time voice AI agents.
I focus on agentic architectures, RAG pipelines, and speech + reasoning integration using frameworks like LiveKit, Twilio, and OpenAI SDKs.
My goal is simple: build AI that sounds natural, reasons deeply, and executes reliably.


πŸ›  Tech Stack


πŸš€ Highlighted Projects

Project Description
AI Calling Agents Multilingual WebRTC + Twilio agents with OpenAI, Cartesia TTS & Deepgram STT.
Call Analytics SaaS Centralized dashboard for monitoring AI-driven calls, transcripts, and insights.
Restaurant AI Bot Multi-platform conversational assistant handling reservations and menu queries.
ICAP AI Bot Domain-specific Q&A agent for student/member support using Llama-3 + RAG.
CheckMate App Auto-grading system comparing student answers to PDFs using Groq + LLMs.
Tixse App Event-ticketing web app (FastAPI + React) with integrated chatbot for real-time support.

βš™οΈ LiveKit / Agentic AI Highlights

  • Integrated Twilio SIP with LiveKit for reliable inbound/outbound calling.
  • Designed STT β†’ LLM β†’ TTS pipelines with interruption/barge-in handling.
  • Built real-time context sync and event streaming via data channels & async RPC.
  • Created modular multi-agent orchestration for concurrent voice + text agents.

πŸ’¬ I can walk you through the full LiveKit + SIP setup in a short Zoom call.


πŸ’Ό Experience

AI Engineer β€” Omnigate (Jul 2025 – Present)

  • Built multilingual chatbots for healthcare and real-time interaction.

Junior AI Engineer β€” Digital Graphiks (May 2025 – Present)

  • Developed voice AI agents and call analytics using OpenAI, Twilio & LiveKit.

AI Intern β€” Proxima (Jan 2025 – Apr 2025)

  • Worked on LLM-based customer support systems with LangChain & RAG.

Python & Data Science Instructor β€” Preply (Mar 2022 – Present)

  • Taught 3000+ live lessons to students from Harvard, Cornell, and Johns Hopkins.

πŸŽ“ Education

BS β€” Computer Science (AI & Big Data)
University of Karachi β€’ Feb 2021 – Feb 2025


πŸ† Certifications

  • LLMOps β€’ Agentic RAG – LlamaIndex / DeepLearning.AI
  • LangChain for LLM Development – DeepLearning.AI
  • Certified AI Developer – PIAIC
  • Generative AI – Google Cloud
  • Machine & Deep Learning – Kaggle / DataCamp

πŸ“Š GitHub Statistics


πŸ”— Connect

GitHub LinkedIn Kaggle Email


β€œAI systems should feel seamless β€” not scripted.”
β€” Hammad Faheem

Pinned Loading

  1. AudioApp AudioApp Public

    A real-time multilingual translation web app for healthcare professionals and patients, integrating speech-to-text, translation, and text-to-speech for seamless communication across languages.

    Python

  2. CheckMateApp CheckMateApp Public

    An AI-powered assignment evaluation platform that automates grading, delivers instant feedback, and provides performance insights β€” built for modern classrooms.

    Jupyter Notebook

  3. Customer_Service_Chatbot_Coffe_Shop Customer_Service_Chatbot_Coffe_Shop Public

    An AI-powered, agent-based chatbot designed to elevate customer service in coffee shop apps. Built with LLMs, NLP, and RAG, this chatbot can take orders, answer menu questions, provide personalized…

    Jupyter Notebook

  4. demand_forecasting_streamlit_xgboost demand_forecasting_streamlit_xgboost Public

    This project is a Streamlit web app designed for visualizing and forecasting the bike rental demand in Washington, DC.

    Python

  5. driver_drowsiness_classification driver_drowsiness_classification Public

    A deep learning-based project to detect driver drowsiness using Convolutional Neural Networks (CNNs). The model is trained on the Driver Drowsiness Dataset (DDD) from Kaggle, aiming to improve road…

    Jupyter Notebook

  6. Fake_News_Detection_using_LSTM_in_Tensorflow_and_Python Fake_News_Detection_using_LSTM_in_Tensorflow_and_Python Public

    Fake_News_Detection_using_LSTM_in_Tensorflow_and_Python

    Jupyter Notebook