Syed Muhammad MehmamAI Engineer
muhammadmehmaam​@gmail.com |+923182654541 |Karachi, Pakistan |linkedin.com/in/muhammad-mehmam syedmuhammadmehmam.site |github.com/Mehmaam99
Profile

AI Engineer with 3+ years of experience building production LLM systems, RAG pipelines, and computer vision applications across healthcare and industrial domains. Shipped real-time surveillance systems (YOLO + MeanShift), clinical intelligence platforms, and LangGraph-based agents. Currently available for senior AI/​ML roles and high-impact freelance projects.

Skills
  • •Generative AI & LLMs: Prompt Engineering, LangChain, LangGraph, LangSmith, AI Agent Routing & Tool Calling, LLM Evaluation, AI-powered RAG Pipelines, Embeddings & Chunking Strategies, Vector Databases (FAISS, ChromaDB)
  • •AI for Computer Vision: CNNs, RNNs, LSTMs, TensorFlow, YOLO (AI object detection), OpenCV
  • •AI/ML: Supervised Learning, Clustering Models, Ensemble Methods, Model Evaluation
  • •AI Data Engineering & MLOps: AI data pipelines, Azure (ADF, Fabric, Databricks), AWS (S3, EC2)
  • •Core AI Programming: Python, SQL
Professional Experience
Freelance, AI Engineer (Part-time)
Nov 2025 – Present
  • •Developed end-to-end AI automation workflows using n8n, integrating WhatsApp APIs and LLMs to classify customer intent, automate responses, and identify high-intent leads – optimizing business operations and boosting conversion potential.
  • •Designed and deployed a production LangChain and LangGraph based conversational agent for a startup, integrating a RAG pipeline over organizational documents and embedding the chatbot directly into the company website.
    • Data Grains, Data & AI Engineer Instructor
    Aug 2025 – Present
  • •Designed hands-on curriculum covering AI data pipelines, cloud (Azure/​AWS), and ML engineering using Python, SQL, and PySpark – mentoring students to build production-ready, scalable AI systems.
    • Xloop Digital Services⁠, Software Engineer - II (AI Engineer)
    Jun 2024 – Jul 2025
  • •Engineered a production healthcare intelligence platform processing 500+ clinical sessions per month – ingested audio/​video via AWS S3, performed speaker diarization, and stored embeddings in a vector database, reducing clinician documentation time by 60%.
  • •Developed an LLM-powered chatbot enabling clinicians to retrieve patient context via natural language prompts, supporting continuity of care across clinical workflows.
  • •Designed and deployed a real-time AI surveillance system for textile factories using YOLO for person detection and MeanShift-based crowd density clustering – enabling automated violence detection and zone-level monitoring.
    • Xloop Digital Services⁠, Software Engineer - I
    Nov 2022 – Jun 2024
  • •Built an Azure-based data job portal that aggregated and centralized job postings across internal teams, improving hiring efficiency.
  • •Developed the Gov Finder application, enabling structured search and geo-visualization of U.S. government official data for compliance and research use.
    • ArtisticMilliners, Data Scientist
    May 2022 – Nov 2022
  • •Built an OCR automation pipeline using OpenCV + Tesseract that cut invoice processing time from 20 minutes to 2-3 minutes per document – saving 300+ man-hours per month across 1,100+ invoices, integrated into SQL Server and internal web UI.
  • •Implemented time-series forecasting achieving 96% accuracy, integrated into internal sales dashboards to support demand planning decisions.
    • Education
    Sir Syed University of Engineering and Technology, Bachelor of Science in Computer Science
    2018 – 2022 | Karachi

    3.54 CGPA