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mahmedahmed3355/README.md
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πŸš€ MLOps & LLM Platform Engineering Stack

⚑ High-Performance Inference & Serving

vLLM SGLang Triton Ray FastAPI Nginx

🧠 Large Language Models & Core AI

Python PyTorch TensorFlow LangChain LangGraph

πŸ—οΈ MLOps & Infrastructure Orchestration

Kubernetes Kubeflow MLflow Flyte ArgoCD FluxCD Docker

πŸ‘οΈ Computer Vision & Image Intelligence

OpenCV Image_Processing Object_Detection Segmentation OCR

⛓️ Data Engineering & Pipelines

Apache_Spark Apache_Airflow Kafka Redis PostgreSQL

πŸ“Š Observability & Monitoring

Datadog Prometheus Grafana

πŸ† Highlights & Achievements

Liltbench Rank

---

πŸš€ About Me

Mohamed | AI & MLOps Infrastructure Engineer

Building the future of Domain-Specific LLMs
Specialized in High-Performance Inference & Distributed Training Pipelines


Full-Stack AI & MLOps Engineer dedicated to building scalable, high-performance AI systems.
Bridging the gap between Complex Deep Learning and Production-grade Infrastructure.

πŸ› οΈ Strategic Expertise (Aligned with Production Standards)

  • 🧠 Large Language Models (LLMs)

    • Agentic Systems: Crafting Multi-Agent Architectures & Tool Usage.
    • Alignment: Expert in Instruction Fine-Tuning and Alignment (DPO, PPO, RLHF).
    • Pipelines: Building complete pipelines from Pretraining to Performance Monitoring.
  • ⚑ Model Optimization & Efficiency

    • Efficient Finetuning: Specialized in LoRA, QLoRA, and Adapter Fusion.
    • Distributed Training: Scaling via DDP, Tensor Parallel, and FSDP.
    • Quantization: Reducing latency using AWQ, GPTQ, and ONNX.
  • πŸ—οΈ MLOps & Production Serving

    • Serving: High-throughput deployment using vLLM, NVIDIA Triton, and KServe.
    • Infrastructure: Kubernetes, Docker, Knative, and Fabric Manager.
    • APIs: Developing robust backends with FastAPI and Flask.
  • πŸ‘οΈ Computer Vision Intelligence

    • Advanced Segmentation, Object Detection, and OCR for multimodal integration.

πŸ† Achievements & Competitions

Event Rank Description Links
Liltbench (Terminal Bench) πŸ₯‡ #6 Secured 6th place globally solving complex AI agent terminal tasks and command-line automation benchmarks. Leaderboard

πŸ’‘ My Philosophy

"I don't just train models; I design AI ecosystems that think, reason, and scale. Transforming GPU raw power into seamless, real-world value."

πŸ› οΈ Most Used Languages & Tools


---

πŸš€ Highlight Projects

🌟 Project 🧩 Description πŸ”— GitHub
Recommandation System LLM + RAG + CV pipeline Link
AI Image Restoration App Denoising & Super-Resolution Link
OCR Scanner App Multi-page scan to PDF with Tesseract Link
Medical Imaging Diagnosis Agent Streamlit + LLM + CV Link
AI News Agent Team Multi-agent educational content generator Link
Medical Image Chatbot RAG+Chorme db Link
Smart-Hotel-Reservation-System-AI-Powered LightGBM OCR Agent Link
Attentition Library for Computer vision Several Attentition Techniques in Computer Vision Link
CAMELYON17-Breast-Cancer-Detection diagnose breast cancer Link
CGIAR Root Volume Estimation Challenge challenge to predict root volume from plant images using multi-modal data Zindi Link
ZINDI-Mapping-Floods-in-South-Africa developing machine learning models to detect and map flood-affected Link
Text-to-MySQL Query Generator (LLM-Powered) converts plain English (or Arabic) text instructions into executable MySQL Link
AI Bubble Sheet) intelligent Bubble sheet app using OpenCV, LSD edge detection,Flutter. Link
RLHF_notebooks implementation for Reinforcement Learning from Human Feedback (RLHF) Link
Image Editing Pro Image Editing Professional using Pytohn and Gradio Link
image denoise pro Image Denoising Using MiXnet neural network Link
Image Super resolution Using GPEN for face enhancement and via FastAPI Link
Smart Image Sharpnees modify huging face space to work through Fast API Link
Multimodal Remote Sensing Analysis(GeoCLIP & Flamingo) Multimodal Learning for Satellite Imagery and Geospatial Intelligence Link
AI_Recommandiation_System AI Recomandation System for Sales Link
Defocus Debluring Remove deblueing from image using Restomer Net Link
person_detection_from_video Detecting Person from Camera in Secueity purpose Link
Disease-Classification Kaggle Plantes Disease-Classification Link
Smart Manufacturing Machines Efficiency Prediction predicting the operational efficiency of industrial manufacturing machine Link
AI-Music-Composer AI Muisc Composer from End to end K8,Jenkins,GCP Link
msda real-time anomaly detection from high-dimensional heterogeneous/homogeneous time series Link
Time Series Forecasting with Lag Llama Time Series Forecasting with Lag Llama Link
luminol time series data analysis. Link
Rain Predication Australia-Weather-Rain-Prediction Link
Well-Performance-Prediction-and-Anomaly-Detection predicting the performance of wells in terms of gas, oil, and water production Link
AI-Powered Assessment of Vegetable Cutting Techniques Using Multi-Modal Computer Vision Models Assessment of Vegetable Cutting Techniques Link
Fire Detection System real-time fire detection in images and videos using a fine-tuned YOLO model Link
Tennis-Analysis-Application tennis match analysis system Link

βš™οΈ Core Tech Skills

πŸ’» Languages & Performance

Python β€’ Modern C++ β€’ SQL β€’ Bash / Shell

πŸ€– AI, LLMs & Advanced Orchestration

  • Models: PyTorch β€’ TensorFlow β€’ HuggingFace β€’ Transformers
  • Agents: LangGraph β€’ CrewAI β€’ AutoGen β€’ Agno β€’ LangChain
  • Techniques: RAG β€’ CAG β€’ DSPy β€’ Prompt Engineering β€’ Agentic Workflows

⚑ Model Optimization & Post-Training

  • Alignment: SFT β€’ RLHF β€’ DPO β€’ PPO
  • Optimization: Quantization (AWQ/GPTQ) β€’ LoRA/QLoRA β€’ ONNX β€’ Model Distillation

πŸ—οΈ MLOps & Scalable Infrastructure

  • Serving: vLLM β€’ NVIDIA Triton β€’ KServe β€’ Knative
  • Orchestration: Kubernetes β€’ Docker β€’ ArgoCD β€’ FluxCD
  • Pipelines: MLflow β€’ Flyte β€’ Airflow β€’ DVC β€’ Jenkins
  • Cloud: GCP (Google Cloud) β€’ AWS β€’ Fabric Manager

πŸ—ƒοΈ Data & Cloud-Native Storage

  • Vector DBs: Pinecone β€’ Milvus β€’ ChromaDB
  • Databases: PostgreSQL β€’ MongoDB β€’ MySQL β€’ Redis
  • Big Data: Apache Spark β€’ Kafka

πŸ‘οΈ Computer Vision & Multimedia

OpenCV β€’ Image Processing β€’ Object Detection β€’ Segmentation β€’ OCR

🧰 Tools & Platforms

Git β€’ Linux β€’ Flutter β€’ FastAPI β€’ Flask β€’ Streamlit

πŸ“Š AI Evaluation & Benchmarking

  • Frameworks: LangSmith β€’ DeepEval β€’ OpenAI Evals
  • Methods: LLM-as-a-Judge β€’ Pairwise Evaluation β€’ Human Feedback
  • Metrics: Hallucination Detection β€’ Faithfulness β€’ Groundedness
  • Benchmarks: Terminal Bench β€’ Harbor β€’ Agent Evaluation

πŸš€ GPU Computing & Optimization

  • GPU: CUDA β€’ cuDNN β€’ NCCL
  • Inference: TensorRT β€’ TensorRT-LLM
  • Profiling: Nsight Systems β€’ Nsight Compute
  • Optimization: Kernel Optimization β€’ Mixed Precision β€’ Quantization

🌐 Distributed AI Systems

  • Training: DDP β€’ FSDP
  • Inference: Tensor Parallelism β€’ Pipeline Parallelism
  • Communication: NCCL β€’ NVLink

πŸ” Retrieval & Search Systems

  • Retrieval: Hybrid Search
  • Ranking: Reranking
  • **Embedding Models`
  • **Semantic Search`

Certifications

Micro1 AI Certification

Certified by Micro1 after successfully passing their AI technical evaluation process.

  • Outstanding performance in Micro1 AI Interview
  • Added to Micro1's vetted talent pool
  • Evaluated on AI engineering, problem-solving, and technical communication

Micro1 Certification

--- ## πŸ“š Publications
🧠 Title πŸ”— DOI / Link
Paddy Leaf Disease Classification using Enhanced CoAtNet + MobileNetV2 πŸ”— Zenodo
AI-Powered Assessment of Vegetable Cutting Techniques πŸ”— DOI
YOLO + Kalman Filter for Tennis Ball Tracking πŸ”— DOI

🧩 GitHub & LeetCode Stats

LeetCode Stats Top Langs

---

πŸ“¬ Contact Me

πŸ“§ Email: ML_mohamed_ahmed_87@outlook.com
🌍 LinkedIn: mohamed-ahmed-700019a5
🧠 Blog: DeepLearning4ComputerVision
🧾 Orcid: 0009-0001-3342-7233
πŸ’Ό Turing: Profile


🧠 Quote

β€œTurning ideas into AI-driven realities β€” one model at a time.” πŸš€

Pinned Loading

  1. Market-Profile Market-Profile Public

    Market Profile For Stock Market

    Jupyter Notebook 4

  2. algorithmic_trading_systems algorithmic_trading_systems Public

    Forked from yousra-aoudi/algorithmic_trading_systems

    Python 1

  3. Car_Crashes_Detection_From_Surveillance_Cameras-OrangeLabs-Project Car_Crashes_Detection_From_Surveillance_Cameras-OrangeLabs-Project Public

    Forked from MohamedSebaie/Car_Crashes_Detection_From_Surveillance_Cameras-OrangeLabs-Project

    Car_Crash_Detection_From_Surveillance_Cameras-PyTorch

    Jupyter Notebook 1

  4. Car_spots_detector Car_spots_detector Public

    Jupyter Notebook 1

  5. carvana-image-masking-challenge carvana-image-masking-challenge Public

    This dataset contains a large number of car images, with each car taken from different angles. In addition, for each car image, we have an associated manually cutout mask; our task will be to autom…

    Jupyter Notebook 1