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Saad Shakeel

Data Science & Generative AI Engineer

Transforming ideas into intelligent AI solutions that connect technology with human experience, building the future of interaction through Generative AI and intelligent automation.

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Work Experience

Robotics World Pvt. Ltd

Junior AI Developer

KP IT Park, Abbottabad - On-site Mar 2026 — Present
  • Developed AI-driven systems and RAG-powered chatbots, leveraging FastAPI for API creation.
  • Managed data storage and retrieval using vector databases like Pinecone and MongoDB.

Advanced Telecom Services (ATS) AI Lab

Generative AI Developer (R&D)

Washington, United States - Remote Jan 2025 — Present
  • Built intelligent systems with LLMs, including general-purpose chatbots, RAG-based applications, and voice agents, focusing on natural, intuitive conversational experiences.
  • Developed AI agents using LangChain, LangGraph, and CrewAI to automate complex multi-step workflows.

Advanced Telecom Services (ATS) AI Lab

Data Science Intern

Washington, United States - Remote July 2024 — Dec 2024
  • Gained practical experience with Microsoft Azure, Big Data, and advanced data analysis techniques.
  • Deployed scalable, cloud-based solutions and explored applications of Large Language Models (LLMs) in real-world scenarios.

Education

Abbottabad University Of Science & Technology

Bachelor of Science in Computer Science

Nov 2021 — July 2025

Govt Postgraduate College No 1 Abbottabad

FSC Pre-Engineering

2019 — 2021

Certifications & Skills

Certifications

Skills

LangChain LangGraph CrewAI Hugging Face RAG Systems Vector Databases LLMs AI Agents FastAPI
YOLO OpenCV Object Detection Image Classification PyTorch
Microsoft Azure AWS Streamlit Git Docker
Pandas NumPy Scikit-learn Data Analysis Big Data PostgreSQL MongoDB
Static Website Development Responsive Design React (Basic) Next.js (Basic)

Featured Projects

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Emotion-Driven Music App

An AI-powered music recommendation system that uses real-time facial emotion detection to deliver personalized, mood-based song suggestions.

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AI Trip Planner

An AI travel assistant that uses real-time data to suggest routes, landmarks, hotels, and restaurants through an interactive chat interface.

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Stock Market Agent

An AI-powered stock dashboard and chat agent for real-time and historical S&P 500 analysis using Streamlit, LangGraph, and Yahoo Finance.

Stock Market Agent interface
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Agentic-RAG Notebooks

A collection of RAG implementations with agent-based workflows, featuring vector search, hybrid retrieval, and cloud vector stores.

Agentic-RAG Notebooks interface
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Zaran Tours Website

A responsive travel and tours website designed to showcase destinations and tour packages with a clean interface and smooth user experience.

zarantours.com interface
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PakCurrency-VisionAI

A computer vision based system for Pakistani currency denomination detection and fake-note verification using advanced deep learning models.

PakCurrency-VisionAI interface
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Steam-Minds RAG System

Scalable RAG System using MongoDB Vector Store, with LangChain and LangGraph-based intelligent agents, memory integration, and a React UI for efficient and user-friendly document retrieval.

Steam-Minds RAG System interface

About Me

I’m Saad Shakeel, a Generative AI Developer who started with a curiosity for Machine Learning and Deep Learning and grew into building practical solutions with Generative AI, LLMs, and intelligent AI agents. Over the years, I’ve developed RAG-powered conversational systems, multi-agent workflows, ML/DL models, and scalable cloud deployments on Azure, all aimed at turning complex AI concepts into simple, real-world applications. I enjoy solving meaningful problems, improving user experiences, and creating AI systems that actually make work easier. My focus is always on using data, models, and automation to design intelligent solutions that deliver real impact.

Saad Shakeel
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