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hamidmatiny/README.md

Mohammadreza Matiny

AI Software & MLOps Engineer · Production Deep Learning · Low-Latency Async APIs

Profile Views GitHub followers


About Me

Hi, I'm Hamid 👋

ML Engineer / MLOps Engineer focused on production-grade systems at the intersection of LLM security & agentic infrastructure, computer vision, and geospatial ML. ~6 years building deep learning systems, scalable data pipelines, and cloud infrastructure (GCP/AWS). Currently at Torc Robotics, working on Data Quality Assurance ML Pipeline.


🛡️ LLM Security & Agentic Systems

  • aegis — Defense-in-depth security gateway for LLM apps and agents: input/output threat detection, policy-as-code (CEL), tool/MCP permission gating with taint tracking, continuous red-teaming, Ed25519-signed tamper-evident audit trail, and drop-in SDKs.
  • AegisFlow — Autonomous multi-agent incident response engine (Temporal, PydanticAI, OpenTelemetry) that triages observability alerts and plans mitigations.
  • smart-assistant — Personal knowledge assistant and workflow agent.

🌲 Geospatial ML

  • terra-OBIA — Object-Based Image Analysis platform for forestry stand delineation, wetland classification, and land cover mapping at province scale.
  • terra-obia-etl — ETL pipeline harmonizing GeoNB/GNB Open Data into labeled training polygons.

🚗 Computer Vision & Autonomous Systems

  • NEXUS-CV — Real-time multi-modal computer vision platform with live observability and full MLOps lifecycle.
  • multi-modal-od — Sensor-fusion object detection (radar, LiDAR, camera) for autonomous driving.
  • sentinel-ray — Distributed camera telemetry ingestion with Ray, statistical drift detection, and automated incident orchestration.
  • vanguard-telemetry-monitor — Fleet telemetry simulation and observability platform with production-like anomaly injection.
  • hydra-data-factory — Serverless AWS pipeline simulating fleet-scale autonomous-vehicle telemetry processing.

⚙️ MLOps & Infrastructure

  • vit-fastapi-cloud-deploy — FastAPI image classification service, evolved into a cloud-deployed Vision Transformer pipeline.
  • cuda-optimization — Deep learning optimization guide adapted for Apple Metal Performance Shaders.
  • task-master — Production FastAPI + PostgreSQL REST API with Docker and CI/CD.
  • bert-inference — Containerized DistilBERT sentiment-analysis inference service.

📍 Fredericton, NB, Canada · 🌐 hamidmatiny.github.io

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  1. lstm-attention-transformers lstm-attention-transformers Public

    Implementations of neural sequence models including RNNs, LSTMs, and Transformers. Includes attention weight visualization, Seq2Seq frameworks, and fine-tuning workflows for NLP tasks.

    Jupyter Notebook

  2. cuda-optimization cuda-optimization Public

    Complete guide to optimizing deep learning models with PyTorch. Adapted for M3 MacBook with Metal Performance Shaders (MPS)

    Jupyter Notebook

  3. itinera itinera Public

    Hyper-personalized travel itineraries powered by xAI Grok, with a FastAPI backend and Streamlit frontend.

    Python

  4. hydra-data-factory hydra-data-factory Public

    Production-grade, serverless AWS data pipeline simulating large-scale autonomous-vehicle telemetry-processing at fleet scale. This repository demonstrates end-to-end ingestion, Distributed Stream T…

    Python

  5. sentinel-ray sentinel-ray Public

    Distributed camera telemetry ingestion with Ray Core, Pandera QA validation, statistical drift detection, and automated incident orchestration.

    Python

  6. vanguard-telemetry-monitor vanguard-telemetry-monitor Public

    A production-pattern vehicle telemetry simulation and observability platform built in four incremental phases. Vanguard generates realistic fleet telemetry, injects production-like anomalies, expos…

    Python