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. |
-
π§ 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.
-
β‘ 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.
-
ποΈ 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.
-
ποΈ Computer Vision Intelligence
- Advanced Segmentation, Object Detection, and OCR for multimodal integration.
| Event | Rank | Description | Links |
|---|---|---|---|
| Liltbench (Terminal Bench) | π₯ #6 | Secured 6th place globally solving complex AI agent terminal tasks and command-line automation benchmarks. | Leaderboard |
"I don't just train models; I design AI ecosystems that think, reason, and scale. Transforming GPU raw power into seamless, real-world value."
---
| π Project | π§© Description | π 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 |
Python β’ Modern C++ β’ SQL β’ Bash / Shell
- Models:
PyTorchβ’TensorFlowβ’HuggingFaceβ’Transformers - Agents:
LangGraphβ’CrewAIβ’AutoGenβ’Agnoβ’LangChain - Techniques:
RAGβ’CAGβ’DSPyβ’Prompt Engineeringβ’Agentic Workflows
- Alignment:
SFTβ’RLHFβ’DPOβ’PPO - Optimization:
Quantization (AWQ/GPTQ)β’LoRA/QLoRAβ’ONNXβ’Model Distillation
- Serving:
vLLMβ’NVIDIA Tritonβ’KServeβ’Knative - Orchestration:
Kubernetesβ’Dockerβ’ArgoCDβ’FluxCD - Pipelines:
MLflowβ’Flyteβ’Airflowβ’DVCβ’Jenkins - Cloud:
GCP (Google Cloud)β’AWSβ’Fabric Manager
- Vector DBs:
Pineconeβ’Milvusβ’ChromaDB - Databases:
PostgreSQLβ’MongoDBβ’MySQLβ’Redis - Big Data:
Apache Sparkβ’Kafka
OpenCV β’ Image Processing β’ Object Detection β’ Segmentation β’ OCR
Git β’ Linux β’ Flutter β’ FastAPI β’ Flask β’ Streamlit
- Frameworks:
LangSmithβ’DeepEvalβ’OpenAI Evals - Methods:
LLM-as-a-Judgeβ’Pairwise Evaluationβ’Human Feedback - Metrics:
Hallucination Detectionβ’Faithfulnessβ’Groundedness - Benchmarks:
Terminal Benchβ’Harborβ’Agent Evaluation
- GPU:
CUDAβ’cuDNNβ’NCCL - Inference:
TensorRTβ’TensorRT-LLM - Profiling:
Nsight Systemsβ’Nsight Compute - Optimization:
Kernel Optimizationβ’Mixed Precisionβ’Quantization
- Training:
DDPβ’FSDP - Inference:
Tensor Parallelismβ’Pipeline Parallelism - Communication:
NCCLβ’NVLink
- Retrieval:
Hybrid Search - Ranking:
Reranking - **Embedding Models`
- **Semantic Search`
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
| π§ Title | π DOI / Link |
|---|---|
| Paddy Leaf Disease Classification using Enhanced CoAtNet + MobileNetV2 | π Zenodo |
| AI-Powered Assessment of Vegetable Cutting Techniques | π DOI |
| YOLO + Kalman Filter for Tennis Ball Tracking | π DOI |
---
π§ Email: ML_mohamed_ahmed_87@outlook.com
π LinkedIn: mohamed-ahmed-700019a5
π§ Blog: DeepLearning4ComputerVision
π§Ύ Orcid: 0009-0001-3342-7233
πΌ Turing: Profile
βTurning ideas into AI-driven realities β one model at a time.β π



