Sajjad Hassan

Sajjad Hassan

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

Based in: Lahore, Punjab, PakistanMost recently: AI Engineer, Web ExcelsExperience: 3 years

Hire me

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.

Experience

AI Engineer

Web ExcelsLahore, PakistanworkSep 2025

Summary

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.

Results

  • 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

AI Trainer

Arfa Karim Technology Incubator (AKTI)Lahore, PakistanworkMar 2025 – Nov 2025

Summary

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).

Results

  • 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

AI Developer Intern

Octaloop Technologies LahoreLahore, Pakistaninternship2025 – Mar 2025
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

Skills

Technical

PythonPython
LangChain
OpenAI GPT-4o
Vector DB
RAG Architecture
Prompt Engineering
FastAPIFastAPI
Vector Search
ElevenLabs
GPT-5
Google Gemini
LLaMA 3.2
RestAPI
MongoDBMongoDB
GCPGCP
LangGraph
Scikit-Learn
Twilio
TensorFlowTensorFlow
Keras
MySQLMySQL
SQLSQL
PostgreSQLPostgreSQL
CI/CD
Render

Projects

Chatbot Using LLma3.2

personal
Realtime chat assistant
LLaMA 3.2

Sales Automation, Web Excels

AI Engineerprofessional
Used Fastapi, vector databases, python, openai gpt5 and gpt40, react, html, css, pandas, sklearn
FastAPIVector DatabasesPythonOpenAI GPT-5GPT-4oReactHTMLCSSPandasSklearn

AI Voice Agent Platform (Multi-Agent Campaign System)

Lead Architectpersonal
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

Legal RAG

AI Engineerpersonal
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

BS in Software Engineering

Superior UniversitySoftware EngineeringNov 2020 – Aug 2024

Recognition

Certifications

Python Expert

Certiport2024

SQL Developer

Sololearn2022
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Sajjad's twin is AI, it can make mistakes.