Islam Kassem

Skills

Core capabilities across model development, systems, and cloud delivery.

My technical foundation spans the full machine learning engineering stack: designing and fine-tuning deep learning models in PyTorch, building generative AI and RAG pipelines with LangChain and vector databases, serving models with FastAPI and vLLM, and running MLOps on Kubernetes and AWS, from data ingestion and experiment tracking through to monitoring in production.

AI / ML

LLMs RAG AI Agents LoRA / QLoRA Whisper ASR Computer Vision Multimodal AI Semantic Search NLP Recommendation Systems PyTorch Hugging Face LangChain Transformers Prompt Engineering Fine-Tuning Model Evaluation Feature Engineering TensorFlow scikit-learn XGBoost OpenCV spaCy

Serving / Backend

Python FastAPI vLLM Ollama REST APIs gRPC Kafka SQL MongoDB FAISS Pinecone Elasticsearch Chroma Weaviate Cassandra ETL Pipelines R Bash

Cloud / MLOps

AWS GCP Vertex AI Azure Docker Kubernetes GitHub Actions MLflow Weights & Biases Model Monitoring Experiment Tracking A/B Testing CI/CD