Abdur R.

AI Engineer | Machine Learning, NLP, Data Science, Data Pipelines

I’m a results-driven Machine Learning & AI Engineer specializing in building scalable, production-ready AI solutions across Machine Learning, Natural Language Processing (NLP), Computer Vision, Data Science, Data Engineering, and intelligent automation. I work across the full AI development lifecycle—from data collection and preprocessing to model development, fine-tuning, deployment, and production optimization. I help businesses turn complex, unstructured data into reliable AI-powered products, automated workflows, and actionable insights. My core expertise includes: • Machine Learning & Data Science: Classification, regression, predictive modeling, forecasting, clustering, recommendation systems, feature engineering, and time-series analysis • NLP & LLMs: Text classification, NER, document processing, summarization, semantic search, question answering, prompt engineering, RAG, and LLM application development • Computer Vision: Image classification, object detection, image segmentation, OCR, document intelligence, and custom deep learning models • Data Engineering & Pipelines: Data extraction, web scraping, ETL/ELT pipelines, data preprocessing, API integrations, real-time data processing, and automated data workflows • Deep Learning: Transformer architectures, CNNs, sequence models, BERT, GPT-based systems, and custom model training • LLM Integration & Fine-Tuning: OpenAI, Hugging Face, LangChain, vector databases, embeddings, RAG pipelines, and domain-specific model adaptation • AI Automation: Intelligent workflows, AI agents, API-driven automation, process automation, and scalable backend systems • Deployment & MLOps: Production APIs, model serving, Docker, cloud deployment, monitoring, optimization, and scalable ML infrastructure Tools & Technologies: Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face, OpenAI, LangChain, FastAPI, Flask, SQL, PostgreSQL, Pandas, NumPy, Docker, AWS, Google Cloud, FAISS, Pinecone, Git, and REST APIs. I focus on building AI systems that are modular, scalable, maintainable, and production-ready—not just models that work in a notebook. Whether you need an AI prototype, end-to-end data pipeline, production machine learning system, LLM/RAG application, computer vision solution, or intelligent automation workflow, I can help turn the idea into a reliable real-world product.