Ali R.

⭐⭐⭐⭐⭐ AI/ML Engineer | 100% Job Success | Computer Vision, Recommendation Systems, AI-powered Insights, Chatbots, LLMs and RAG Systems Hi! I'm Ali Raza, an AI/ML Engineer with deep expertise in Computer Vision and Large Language Models. I build and deliver production-grade AI systems that drive real business results—from custom vision models to intelligent RAG pipelines ready for deployment. My focus is delivering fast, scalable, and reliable AI systems that integrate seamlessly into real-world products. 🏅 Expert in Tensorflow, PyTorch, LangChain and Production-Ready AI Solutions ⭐ 100% Job Success | Building Scalable Computer Vision Systems and Chatbots for Startups and Businesses 🏆 Specialized in Computer Vision, LLM Applications, and RAG Pipelines ✔ AI/ML Engineer specializing in Computer Vision ✔ LLM and RAG Systems Architect ✔ Python Backend and AI Integration Expert 👁️ Computer Vision Engineering and Development ___________________________________________________________________________ ✔ Object Detection, Segmentation, and Classification ✔ Image-to-Image Systems | Image and Video Processing ✔ Image Recognition, Image Matching, and Colour Matching Systems ✔ Video Analytics and Real-Time Tracking ✔ OCR and Document Processing Pipelines using Tesseract, OpenCV ✔ Custom PyTorch and OpenCV Model Development ✔ High-Performance Inference and Deployment ⚙️ LLMs and RAG Systems ___________________________________________________________________________ ✔ ChatGPT-like Applications and Custom AI Assistants ✔ Retrieval-Augmented Generation (RAG) Pipelines ✔ Vector Database Integration (PgVector, FAISS, Pinecone) ✔ LangChain-based LLM Workflows and Orchestration ✔ Prompt Engineering and Fine-Tuning ✔ Private Document Q&A and Knowledge Systems 🔨 AI-Powered Backend Systems ___________________________________________________________________________ ✔ FastAPI and Python AI Microservices ✔ REST API Development and Integration ✔ Real-time Inference Pipelines ✔ Scalable Backend Architecture for AI Products 📊 Data Engineering for AI Systems ___________________________________________________________________________ ✔ Data Cleaning, Preprocessing, and Feature Engineering ✔ ETL Pipeline Development and Automation ✔ Data Ingestion and Transformation Pipelines ✔ SQL, PostgreSQL, and MongoDB Database Design ✔ Web Scraping and Large-Scale Document Parsing using Playwright, BeautifulSoup 📩 MLOps and Deployment ___________________________________________________________________________ ✔ Docker Containerization ✔ AWS and GCP Deployment ✔ Model Optimization using ONNX and CUDA ✔ Production Deployment and Scaling ✔ CI/CD and Automation for ML Pipelines 🏆 Key Computer Vision Achievements ___________________________________________________________________________ ✨ Built custom object detection models using YOLO, PyTorch, and OpenCV ✨ Fine-tuned vision models using LoRA for efficient domain adaptation ✨ Developed image similarity and matching systems for visual search ✨ Implemented OCR pipelines for automated invoice and document processing ✨ Designed and deployed real-time video processing systems ✨ Containerized and deployed vision APIs on AWS and GCP infrastructure ✨ Optimized models using ONNX, TensorRT, and CUDA for faster inference ✨ Created automated data extraction pipelines for document-intensive workflows 🛠️ TECH STACK ___________________________________________________________________________ ➡️ Core Languages: Python, SQL, C/C++, JavaScript ➡️ Machine Learning Models and Architectures: ML Models: Logistic Regression, Decision Trees, SVM, KNN, Ensemble Methods, PCA, Naive Bayes Deep Learning: CNNs, RNNs, Autoencoders, GANs, Transformers, Large Language Models (LLMs), UNet, YOLO ➡️ Machine Learning and AI: PyTorch, TensorFlow, Scikit-learn, OpenCV, Keras, ONNX Runtime, Sentence-Transformers, spaCy, NLTK, Tesseract OCR, NumPy, XGBoost, LSTM, Transformer Models ➡️ Model Fine-Tuning and LLM Adaptation: LoRA, QLoRA, Transfer Learning, Fine-Tuning LLMs (GPT, LLaMA, Mistral), Instruction Tuning, Supervised Fine-Tuning (SFT), Adapter Layers ➡️ LLM and RAG Frameworks: LangChain, FastAPI, PgVector, FAISS, Pinecone, Vector Databases, Embedding Pipelines ➡️ Backend and APIs: FastAPI, Flask, REST APIs, Microservices Architecture, Streamlit, Uvicorn ➡️ Data Engineering and Databases: PostgreSQL, MongoDB, MS SQL Server, Neo4j, PgVector, Pandas, NumPy, ETL Pipelines ➡️ Cloud and DevOps: AWS, GCP, Docker, CI/CD Pipelines, Model Serving, Scalable Deployment ➡️ Automation and Scraping: Playwright, BeautifulSoup, Automated Data Extraction, Document Parsing 🤝 Let's Work Together! ___________________________________________________________________________ If you're building an AI product, integrating LLMs, or developing Computer Vision systems, feel free to invite me to discuss your project!