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hammadfaheem/README.md

AI Engineer | Voice AI Specialist | Agentic Systems

👋 About Me
I'm Hammad Faheem, an AI Engineer specializing in voice AI agents, agentic systems, and real-time communication platforms.
Currently building production-grade AI solutions at SophiieAI while pursuing an MS in Artificial Intelligence at NED University.
I focus on LiveKit voice agents, multi-agent orchestration, and RAG pipelines using frameworks like LiveKit, Twilio, OpenAI SDKs, and LangChain.
My goal is simple: build AI that sounds natural, reasons deeply, and executes reliably.


🛠 Tech Stack


🚀 Featured Projects

Project Description Tech Stack
MajsterAI AI calling agent platform with real-time voice interactions LiveKit, FastAPI, React 18, PostgreSQL, Ultravox, Silero VAD
Mews Integration Hotel reservation system integration with LiveKit voice agents LiveKit, Python, Mews API
AI Calling Agents Multilingual WebRTC + Twilio agents with OpenAI, Cartesia TTS & Deepgram STT Twilio, LiveKit, OpenAI, Cartesia, Deepgram
Call Analytics SaaS Centralized dashboard for monitoring AI-driven calls and insights FastAPI, React, PostgreSQL
Restaurant AI Bot Multi-platform conversational assistant for reservations LangChain, RAG, OpenAI
ICAP AI Bot Domain-specific Q&A agent using Llama-3 + RAG Llama-3, FAISS, LangChain
Tixse App Event-ticketing platform with AI chatbot support FastAPI, React, PostgreSQL

💼 Experience

AI / Python Engineer — SophiieAI (Nov 2025 – Present)
Australia (Remote)

  • Developing and debugging LiveKit AI agents with agent refactoring and bug resolution
  • Integrated Mews hotel reservation platform with LiveKit (booking creation, updates, cancellations, customer profile retrieval)
  • Building and maintaining Python-based APIs with voice AI tools like HammingAI
  • Ensuring reliable automation workflows across production systems

AI Engineer — Omnigate (Jul 2025 – Nov 2025)
Sweden (Remote)

  • Built multilingual healthcare chatbots with contextual memory
  • Developed multi-agent systems for SQL Q&A and tool execution
  • Integrated AI-driven ticketing for automated support

Junior AI Engineer — Digital Graphiks (May 2025 – Present)
Karachi, Pakistan

  • Integrated Twilio SIP with LiveKit for reliable inbound/outbound calling
  • Designed end-to-end STT → LLM → TTS pipeline with real-time interruption (barge-in) handling
  • Managed real-time event streaming and context synchronization using data channels and asynchronous RPC

AI Engineer Intern — Proxima (Jan 2025 – Apr 2025)
Karachi, Pakistan

  • Specialized in Generative AI to automate and optimize customer support
  • Worked on LLM-based systems with LangChain & RAG

Data Science and Python Instructor — Preply (Mar 2022 – Present)
Remote

  • Delivered 3000+ personalized lessons to 200+ students from Harvard, Cornell, and Johns Hopkins

⚙️ LiveKit / Voice AI Expertise

  • SIP Integration: Integrated Twilio SIP with LiveKit for enterprise-grade telephony
  • Voice Pipelines: Built STT → LLM → TTS pipelines with interruption/barge-in handling
  • Real-time Streaming: Implemented context sync and event streaming via data channels & async RPC
  • Multi-Agent Orchestration: Designed modular systems for concurrent voice + text agents
  • Hotel Integrations: Connected Mews reservation platform with voice AI for automated booking workflows
  • Production Deployment: Maintained Python-based APIs and automation workflows at scale

💬 I can walk you through the full LiveKit + SIP setup in a short call.


🎓 Education

Master of Science — Artificial Intelligence (Jan 2026 – Present)
NED University of Engineering & Technology, Karachi, Pakistan

  • Focusing on advanced AI concepts and real-world applications
  • Designing intelligent systems for healthcare, automation, and data-driven solutions

Bachelor of Science — Computer Science (AI & Big Data) (Feb 2021 – Feb 2025)
University of Karachi, Pakistan

  • Specialized in AI & Big Data
  • Gained expertise in programming, data science, and applied machine learning

Certified Artificial Intelligence Developer (2020 – 2022)
PIAIC (Presidential Initiative for AI and Computing), Batch 7

  • Roll # PIAIC139258
  • Hands-on experience in AI concepts, tools, and real-world projects

🏆 Certifications

  • Building Agentic RAG – LlamaIndex / DeepLearning.AI
  • Building Autonomous Agents – DeepLearning.AI
  • LangChain for LLM Application Development – DeepLearning.AI
  • Certified AI Developer – PIAIC
  • Machine Learning – Kaggle / DataCamp

💡 Core Skills

LiveKit & Voice AI
Real-time voice & video systems, SIP, WebRTC, event streaming, AI call agents

Multi-Agent Systems
Calling agents, tool execution, SQL Q&A, workflow orchestration

ML & Deep Learning
Python, Scikit-Learn, TensorFlow, Keras, PySpark, EDA, Feature Engineering, ANN, CNN

Generative AI & Agent Systems
LangChain, LangGraph, AutoGen, RAG, Vector DBs (FAISS, Chroma, Pinecone), OpenAI Agent SDK

Cloud & DevOps
AWS (EC2, S3, Lambda, CloudWatch, Auto Scaling, SQS), Docker, GitHub Actions

Web Development
FastAPI, React, PostgreSQL, Selenium, Beautiful Soup


📊 GitHub Statistics


🔗 Connect

GitHub LinkedIn Kaggle Email Phone


"AI systems should feel seamless — not scripted."
— 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 — 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 1

  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