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Ph.D. AI Researcher Deep Learning & Generative AI | Bioinformatics, Energy & Environmental Science I am a Ph.D. researcher specializing in the application of Artificial Intelligence (AI) and Computer Science across bioinformatics, environmental science, and energy systems. My work focuses on leveraging Machine Learning (ML), Deep Learning (DL), Large Language Models (LLMs), and Generative AI to address complex, real-world scientific challenges. My research includes: Protein–peptide interaction modeling and binding site prediction Molecular modeling and computational biology Environmental monitoring and data-driven sustainability solutions Energy system optimization and intelligent forecasting I aim to develop interpretable, scalable, and data-driven AI frameworks that bridge scientific research and practical applications in healthcare, sustainability, and clean energy. Core Disciplines Artificial Intelligence Bioinformatics Environmental Engineering Materials & Energy Engineering

Senior Computer Vision Research Engineer & AI Specialist with extensive experience in designing and deploying advanced AI models for industrial and biomedical applications. OCR Pipeline for Automated Optical Inspection Developed a high-accuracy OCR system to extract textual information from electronic component images, achieving 95% accuracy and significantly improving manufacturing inspection workflows. Custom Segmentation and Defect Detection Models. Engineered YOLO-based models that reduced segmentation runtime from 35 ms to 3 ms, enhancing real-time defect detection in surface mount technology. Natural Language Processing for Manufacturing Data Created NLP methods to accurately extract Manufacturer Part Numbers (MPN) from Approved Vendor Lists (AVL) and catalog descriptions, automating data processing pipelines. PUResNet (V1.0 & V2.0): Protein-Ligand Binding Site Prediction Designed and implemented deep residual UNet architectures utilizing sparse Minkowski tensors for efficient large-scale protein structure analysis, advancing computational drug discovery. Post-Translational Modification (PTM) Site Prediction via Protein Language Models Fine-tuned GPT-based protein language models using prompt-based unsupervised learning to predict PTM sites and analyze mutation effects near functional regions. NanoBinder: Nanobody-Antigen Binding Prediction Tool Developed an interpretable machine learning pipeline integrating Rosetta energy scores, fully automated data extraction, and web deployment for robust nanobody binding affinity prediction. Custom Autoencoder Models for Image Clarity Assessment Designed tailored autoencoder architectures to evaluate and enhance image clarity of electronic components in manufacturing inspection systems. Web Application Deployment with Django Built scalable backend services to host AI models, enabling public accessibility and integration with client workflows. Technical Skills & Tools: Python, PyTorch, TensorFlow, Huggingface Transformers, YOLO, OpenCV, Docker, Slurm HPC, Git, Pymol, AutoDock Vina, Gromacs, Schrodinger, openMM. Academic Excellence: Ph.D. candidate in Integrated Energy AI with multiple publications in top-tier journals such as Nature Communications, Journal of Cheminformatics, and Computational and Structural Biotechnology Journal.

⭐ Expert Vetted | Top Rated Plus — Top 1% on Upwork 👨‍💻 Founder & CEO, HumbleBeeAI 🥇 AI Professor, Gachon University 🏆 PhD in Artificial Intelligence | 12+ years of experience Short Overview (for a busy client) I am an AI Engineer, Machine Learning Specialist, and Full‑Stack Developer with 12+ years of experience delivering production-grade AI systems, LLM solutions, intelligent chatbots, and computer vision applications for startups and enterprises worldwide. I have helped more than 70 companies across the US, Europe, and the Middle East launch scalable AI products and generate over $5M in additional value through automation, predictive systems, and generative AI–driven features. As Founder & CEO of HumbleBeeAI and AI Professor at Gachon University, I combine deep research expertise with hands-on product delivery, focusing on solutions that are robust, explainable, and directly tied to business KPIs. If you need someone who can design, build, fine‑tune, and deploy real AI systems—not just prototypes or demos—I can own the full lifecycle from idea to production. LLMs, Generative AI & Chatbots LLM fine‑tuning and custom model training (LLaMA, LLaMA‑2, BLOOM, OPT) Prompt engineering and workflow optimization for reliability and cost-efficiency RAG systems using LangChain, FAISS, ChromaDB for private / enterprise search AI chatbot development and multi‑step automation agents API‑based AI integrations for web and mobile products Common use cases: AI assistants, document intelligence, knowledge‑base bots, SaaS AI features, internal productivity tools, and automated business workflows. Computer Vision Expertise Object detection and tracking (YOLO, OpenCV, custom deep learning models) OCR and document-processing pipelines Face recognition and biometric identification systems Image segmentation, classification, and visual analytics Video intelligence pipelines for real-time monitoring and alerts AR/VR vision‑based applications Ideal for: industrial monitoring, security and surveillance, retail analytics, document automation, and smart cameras. Machine Learning & AI Engineering Predictive modeling and forecasting (churn, demand, risk, pricing) NLP systems and text analytics Time‑series modeling and anomaly detection Reinforcement learning for decision-making and control Data pipelines and MLOps, CI/CD for ML AI automation tools and agentic workflows AI‑powered dashboards and insight products I prioritize clean data pipelines, reproducible experiments, and scalable deployment from day one. Full‑Stack & AI Product Development Frontend: React, Angular, Flutter, Streamlit, Tailwind, Figma Backend: Node.js, Django, Flask, .NET, REST APIs Databases: MongoDB, PostgreSQL, MySQL, Firebase, SQL Server Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, Nginx, Heroku I can deliver end‑to‑end AI products—from MVP to production at enterprise scale—without heavy dependency on additional engineering teams.

I build AI agents and automation systems that help businesses save time, reduce manual work, and connect AI with real tools, data, APIs, and workflows. My work focuses on practical AI products — not just demos. Whether you need an AI voice receptionist, RAG chatbot, document assistant, workflow automation agent, internal AI tool, or an AI system connected to CRMs, Google Sheets, databases, dashboards, or third-party APIs, I can help design, build, test, and deploy it. What I can build for you: • AI agents that use tools, call APIs, and complete business tasks • Voice AI agents for reception, support, appointment booking, and lead intake • RAG chatbots for PDFs, websites, knowledge bases, and internal documents • Workflow automation using Python, FastAPI, APIs, n8n/Make/Zapier-style systems • LLM applications using OpenAI, Claude, Llama, Hugging Face, and other models • AI-powered web apps, internal tools, and SaaS features • Computer vision and Edge AI systems using YOLO, OpenCV, PyTorch, ONNX, TensorRT, Jetson, and Hailo Technical stack: Python, FastAPI, LangChain, CrewAI, OpenAI API, Claude, Llama, Hugging Face, Whisper, Pinecone, Chroma, FAISS, PostgreSQL, Docker, AWS, GCP, PyTorch, TensorFlow, OpenCV, YOLO, ONNX, TensorRT, Jetson, and Hailo. Why clients work with me: • Top Rated Upwork freelancer with 100% Job Success • 4+ years of hands-on AI/ML engineering experience • Experience across AI agents, LLMs, voice AI, RAG, computer vision, medical AI, and edge deployment • Full AI product pipeline: planning, architecture, backend, model/API integration, testing, deployment, and documentation • Clear communication, milestone-based delivery, and practical engineering decisions Recent work includes voice-enabled AI agents, RAG/document chatbot systems, medical AI models, computer vision pipelines, PyTorch model optimization, ECG/signal-processing applications, and real-time Edge AI deployment. If you need an AI agent, voice assistant, RAG chatbot, automation workflow, computer vision system, or Edge AI product that is reliable and production-ready, I can help you build it from idea to launch.

Hi there, I'm a machine learning engineer with over 4 years of experience. I have a wide range of experience in deep learning which you can see in my upwork and employment history as well. I have successfully developed machine learning pipelines for text classification, link prediction, relation extraction, object detection , named entity recognition, document image analysis and table detection. Main Skills: Python, Tensorflow, Pytorch, Hugging face, Open AI gpt models (ChatGPT, GPT-4) , Pandas, Numpy, matplotlib, Yolo, FasterRCNN I believe in clear communication and transparency in expectations and I will strive to achieve that with any client. Feel free to get in touch

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