Shahid H.

I'm an AI Engineer and Researcher with hands-on experience building machine learning models, deep learning systems, and LLM-powered applications, backed by a Master's in Computer Science (in progress, UESTC, China, 3.85 GPA), an active AI research role, and real industry deployment experience. CURRENT RESEARCH AI Researcher, University of Electronic Science and Technology of China (UESTC), researching machine reasoning, mathematical reasoning, and multimodal AI systems, including how LLMs handle complex reasoning tasks and how vision-language frameworks improve cross-modal reasoning. Published research: "Integrating Multimodal Deep Learning for Real-Time Threat Detection" (Computer Vision + NLP + Cybersecurity Analytics). INDUSTRY & APPLIED AI EXPERIENCE AI Engineer and Researcher, BYMIND Solutions, built and deployed custom machine learning models and chatbots for real client use cases, fine-tuned pre-trained models to solve client-specific problems, and improved real-time AI applications for performance and user experience. Research Assistant, University of Engineering and Technology (UET), used Transformer-based models and attention mechanisms for short-term electrical energy forecasting; collected, cleaned, and analyzed real-world energy data. SKILLS & TOOLS - Languages: Python, SQL, Java - ML/DL Frameworks: TensorFlow, Keras, PyTorch, scikit-learn - NLP & Generative AI: Transformers, BERT, GPT models, RNNs, LSTMs, spaCy, NLTK, Hugging Face - Data: Pandas, NumPy, Matplotlib, Seaborn - Platforms: Git/GitHub, Jupyter, Google Colab, Docker, Kaggle CERTIFICATIONS - IBM Data Science Professional Certificate - IBM AI Engineering Professional Certificate - Generative AI Application Developer Certificate - AI Agents Hack (LabLab.ai & MindsDB) WHY WORK WITH ME I combine formal AI research training with practical, deployed project experience, so I can go from "does this approach even work" to a working model or chatbot in production. I communicate clearly, document my work, and I'm comfortable working across the full pipeline: data collection/cleaning, model building/fine-tuning, evaluation, and deployment. Let's talk about your ML, NLP, computer vision, or LLM/chatbot project — happy to start with a focused paid trial task so you can evaluate the work directly. Skills tags: Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI, LLM, ChatGPT, PyTorch, TensorFlow, Keras, Python, Model Fine-Tuning, AI Chatbot Development, Data Science, Data Analysis