Sajjad.

Sajjad Hassan

AI Engineer & Educator | Architecting Voice Automation & Mentoring the Next Gen of AI Talent

Overview

AI Engineer with a track record of building production-grade voice automation and legal RAG systems. Expert in optimizing real-time pipelines (reducing latency from 4s to <1s) and improving retrieval accuracy in complex domains. Passionate educator who has mentored 80+ developers and specializes in making complex STEM concepts accessible to students of all ages, from young children to professionals.

Lahore, Punjab, Pakistan

Experience

Sep 2025

WORK

AI Engineer

Web Excels

Lahore, Pakistan

Architected and managed multi-agent AI Voice Automation platform. Built campaign dialer system that processes CSV lead data and executes automated outbound calling campaigns. Implemented intelligent lead qualification logic to filter high-intent prospects. Integrated ElevenLabs SDK for custom voice agent creation and speech synthesis. Developed a RAG application including backend and frontend. Designed RAG-based custom knowledge agents using embeddings and vector search. Developed scalable FastAPI backend deployed on Google Cloud Platform. Built ML-powered lead scoring system using Python.

•Architected and managed multi-agent AI Voice Automation platform

•Built campaign dialer system that processes CSV lead data and executes automated outbound calling campaigns

•Implemented intelligent lead qualification logic to filter high-intent prospects

•Integrated ElevenLabs SDK for custom voice agent creation and speech synthesis

•Developed a RAG application including backend and frontend.

•Designed RAG-based custom knowledge agents using embeddings and vector search

•Developed scalable FastAPI backend deployed on Google Cloud Platform

•Built ML-powered lead scoring system using Python

Key Achievements

→Reduced AI response latency from 4s to <1s by implementing WebSocket streaming and real-time text chunking.

→Optimized multi-agent coordination using Redis to manage state and prevent agent overlap during high-volume concurrent calls.

→Architected a campaign dialer system processing CSV lead data for automated outbound engagement.

FastAPIGoogle Cloud PlatformPythonElevenLabs SDKRAGVector SearchEmbeddingsCSVRedisWebSockets

Mar 2025 – Nov 2025

WORK

AI Trainer

Arfa Karim Technology Incubator (AKTI)

Lahore, Pakistan

Empowering aspiring developers as an AI Trainer at Arfa Karim Technology Incubator. I specialize in delivering end-to-end technical education, transforming beginners into advanced AI practitioners through hands-on project mentoring and rigorous curriculum design. Expert in Python, Scikit-Learn, TensorFlow, and Large Language Models (LLMs).

•Delivering end-to-end technical education

•Transforming beginners into advanced AI practitioners through hands-on project mentoring

•Rigorous curriculum design

Key Achievements

→Mentored 80+ aspiring developers and professionals across multiple cohorts, guiding them from Python fundamentals to production-ready LLM and RAG applications.

→Successfully coached a student with no prior AI background to build and deploy a cloud-based document intelligence system, leading to their placement as a junior developer.

PythonScikit-LearnTensorFlowLLMs

2025 – Mar 2025

INTERNSHIP

AI Developer Intern

Octaloop Technologies Lahore

Lahore, Pakistan

Developed real-time LLM chatbot with MongoDB conversation storage. Built document-based question-answering system using embeddings. Created FastAPI endpoints for file upload and similarity scoring.

•Developed real-time LLM chatbot with MongoDB conversation storage

•Built document-based question-answering system using embeddings

•Created FastAPI endpoints for file upload and similarity scoring

LLMMongoDBEmbeddingsFastAPI

Dec 2024 – Feb 2025

INTERNSHIP

ML Engineer Intern

Ezitech institute Rawalpindi

Rawalpindi, Pakistan

Built an RNN for text generation using TensorFlow/Keras, training it on a dataset to generate coherent sequences. Implemented LSTMs/GRUs for sequential learning and optimized performance with hyperparameter tuning. Developed a CNN for image classification, designing convolutional, pooling, and fully connected layers.

•Built an RNN for text generation using TensorFlow/Keras, training it on a dataset to generate coherent sequences

•Implemented LSTMs/GRUs for sequential learning and optimized performance with hyperparameter tuning

•Developed a CNN for image classification, designing convolutional, pooling, and fully connected layers

RNNTensorFlowKerasLSTMsGRUsCNN

2024 – Nov 2024

WORK

Computer Science Teacher

Concordia College

Lahore, Pakistan

Curriculum Delivery: Instructing students on core Computer Science principles, including Programming Fundamentals (C++/Python), Data Structures, and Database Management Systems. Student Achievement: Facilitating a high-performance learning environment that consistently results in top-tier examination grades and successful student projects. Lab Leadership: Supervising practical laboratory sessions, ensuring students gain hands-on experience with hardware troubleshooting, software development, and algorithm design. Mentorship: Advising students on career pathways in the tech industry, bridging the gap between academic theory and modern industry requirements.

•Instructing students on core Computer Science principles, including Programming Fundamentals (C++/Python), Data Structures, and Database Management Systems.

•Supervising practical laboratory sessions, ensuring students gain hands-on experience with hardware troubleshooting, software development, and algorithm design.

•Bridging the gap between academic theory and modern industry requirements through mentorship.

Key Achievements

→Consistently results in top-tier examination grades and successful student projects

C++PythonData StructuresDatabase Management Systems

Project Portfolio

PERSONAL

Present

Chatbot Using LLma3.2

Realtime chat assistant

LLaMA 3.2

PROFESSIONAL

Present

Sales Automation, Web Excels

AI Engineer

Used Fastapi, vector databases, python, openai gpt5 and gpt40, react, html, css, pandas, sklearn

FastAPIVector DatabasesPythonOpenAI GPT-5GPT-4oReactHTMLCSSPandasSklearn

PERSONAL

Present

AI Voice Agent Platform (Multi-Agent Campaign System)

Lead Architect

Designed end-to-end AI voice automation system using Twilio, OpenAI, and ElevenLabs. Automated outbound lead engagement and qualification. Integrated RAG-powered knowledge base agents. Deployed backend using FastAPI on GCP.

TwilioOpenAIElevenLabsRAGFastAPIGCPRedisWebSockets

PERSONAL

Present

Legal RAG

AI Engineer

Architected a semantic legal document retrieval system using layout-aware structural chunking to preserve legal hierarchy. Implemented a parent-document retrieval pattern to provide full context to the LLM while maintaining high retrieval precision. Developed a global definitions metadata store to ensure consistent interpretation of specialized legal terms across long-form contracts.

RAGVector DatabaseEmbeddingsParent-Document RetrievalMetadata Enrichment

Education

Nov 2020 – Aug 2024

BS in Software Engineering

Superior UniversitySpecialization in Software Engineering

Impact & Recognition

Professional Certifications

Certiport · 2024

Python Expert

Sololearn · 2022

SQL Developer

Skills & Interests

Python

TECHNICAL

LangChain

TECHNICAL

OpenAI GPT-4o

TECHNICAL

Vector DB

TECHNICAL

RAG Architecture

TECHNICAL

Prompt Engineering

TECHNICAL

FastAPI

TECHNICAL

Vector Search

TECHNICAL

ElevenLabs

TOOL

GPT-5

TECHNICAL

Google Gemini

TECHNICAL

LLaMA 3.2

TECHNICAL

RestAPI

TECHNICAL

MongoDB

TECHNICAL

GCP

TOOL

LangGraph

TECHNICAL

Scikit-Learn

TECHNICAL

Twilio

TOOL

TensorFlow

TECHNICAL

Keras

TECHNICAL

MySQL

TECHNICAL

SQL

TECHNICAL

PostgreSQL

TECHNICAL

CI/CD

TECHNICAL

Render

TOOL

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