Syed Muhammad MehmamAI Engineer
[email protected] |+923182654541 |Karachi, Pakistan linkedin.com/in/muhammad-mehmam |syedmuhammadmehmam.site/ |github.com/Mehmaam99
Profile

AI Engineer with 3+ years of experience in LLMs, RAG systems, and Computer Vision. Skilled in Python, FastAPI, and SQL, with hands-on work in building chatbots, retrieval pipelines, and real-time video analytics. Strong in developing production-ready AI applications using LangChain, vector databases, and modern AI tools.

Skills

Generative AI & Large Language Models: Prompt Engineering, LangChain, Agent Routing & Tool Calling • LLM Evaluation,

RAG Pipelines, Embeddings & Chunking Strategies, Vector Databases (FAISS, ChromaDB)

Deep Learning & Computer Vision: CNNs, RNNs, LSTMs, TensorFlow , YOLO , OpenCV , MTCNN , face_recognition

Machine Learning: Supervised Learning, Clustering Models, Ensemble Methods, Model Evaluation, Feature Engineering

Data Engineering & MLOps: ETL /​​ELT Pipelines , Data Warehousing , Azure (ADF, Fabric, Databricks) , AWS (S3, EC2)

Core Programming & Data : Python • SQL

Professional Experience
Data Grains, Data & AI Engineer Instructor
Aug 2025 – Present
  • •Delivered hands-on training in Data Engineering, Cloud, and AI workflows, mentoring students on real-world projects.
  • •Developed project-based curriculum covering Python, SQL, PySpark, and AI/ML concepts, enabling production-ready skill development.
    • Xloop Digital Services⁠, Software Engineer - II (AI Engineer)
    Jun 2024 – Jul 2025
  • •Built a Healthcare conversational intelligence platform ingested video/​​audio from AWS S3, performed speech-to-text conversion, speaker diarization, and stored embeddings in a vector database.
  • •Developed an LLM-powered chatbot for healthcare interactions, enabling clinicians to retrieve patient context via prompts, supporting continuity of care.
  • •Designed and deployed VisionX, a real-time AI surveillance system for textile factories, enabling intelligent crowd monitoring and automated violence detection.
  • •Implemented MeanShift-based crowd density clustering and developed CCTV-driven violence detection pipelines optimized for real-time inference.
    • Xloop Digital Services⁠, Software Engineer - I
    Nov 2022 – Jun 2024
  • •Built an Azure-based data job portal to aggregate and centralize job postings for internal use.
  • •Supported fraud detection development, contributing to detection logic while handling parallel projects.
  • •Developed the Gov Finder application, enabling search and visualization of U.S. government official data.
    • ArtisticMilliners, Data Scientist
    May 2022 – Nov 2022
  • •Automated invoice processing using OpenCV and Tesseract OCR, reducing processing time from 20 minutes to 2–3minutes for 1,100+ monthly invoices.
  • •Integrated OCR pipelines with SQL Server and internal web UI, enabling accurate, one-click data ingestion.
  • •Implemented time-series sales forecasting models achieving 96% accuracy, and integrated into internal sales dashboards.
    • Education
    Sir Syed University of Engineering and Technology, Bachelor of Science in Computer Science
    2018 – 2022 | Karachi

    3.54 CGPA