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 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 & Large Language Models: Prompt Engineering, LangChain, LangGraph, LangSmith, 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

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

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

Core Programming & Data : Python, SQL

Professional Experience
Freelance, AI Engineer (Part-time)
Nov 2025 – Present
  • •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.
  • •Implemented end-to-end observability using LangSmith, monitoring API token usage, error rates, and user engagement metrics enabling proactive detection of latency spikes and token cost anomalies before client impact.
    • 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/​month ingesting audio/​video via AWS S3, performing speaker diarization, and storing embeddings in a vector DB 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 aggregating and centralizing job postings across internal teams.
  • •Developed the Gov Finder application, enabling structured search and geo-visualization of U.S. government official data.
    • ArtisticMilliners, Data Scientist
    May 2022 – Nov 2022
  • •Built an OCR automation pipeline using OpenCV + Tesseract that cut invoice processing time from 20 min to 2–3 min per document saving 300+ man-hours/​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