RemoteYeah
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Elon Gabriel Tai
From United Kingdom
$40/hr or $80,000/yr
Active over a week ago
Member since Mar 2026

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Senior AI and Machine Learning Engineer

Machine Learning Engineer
Available for hire
Years of experience
8+ years
Experience level
Senior
Available from
23 Jun 2026

My name is Elon Tai, and I am based in the United Kingdom. I have over 8 years of experience as an AI and LLM engineer, developing advanced AI solutions across various business domains. I am excited about the opportunity to contribute my skills and passion for innovation to your team.

Some of my key technical strengths include:

-Python programming with expertise in AI frameworks and libraries -Optical Character Recognition (OCR), Object Detection, and Segmentation, 3D reconstruction for intelligent image and video analysis -Speech-to-Text (STT) and Text-to-Speech (TTS) technologies -Experience with LlamaParse, LlamaIndex, and LangChain for large language model applications -Building and optimizing vector embeddings and vector stores such as FAISS, Pinecone, OpenSearch, Milvus, and Qdrant -Strong background in Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), and LLM-based solutions

Throughout my career, I have successfully designed and implemented AI systems that address complex challenges and drive business value. I am confident that my technical expertise and problem-solving skills would make me a valuable addition to your team.

I am currently exploring new opportunities in AI and LLM-focused roles and would be happy to share my CV or discuss how I can contribute to your projects.

Thank you for considering my application. I look forward to hearing from you.

Best regards, Elon Tai

Skills

JavaScript React.js Node.js SQL Redis Docker AWS Azure Opencv GCP NoSQL Kubernetes OpenAI Natural Language Processing Text to speech PostgreSQL Git CI/CD Large Language Models Python Java Go Kotlin Neo4J .NET Flask Django FastAPI Cloudwatch PyTorch CUDA C++ C# LangChain

Languages

English

Employment History

Senior Machine Learning Engineer at Harrison.ai 2021 - 2025
•Developed and deployed AI diagnostic solutions for radiology and pathology to improve accuracy and speed by using YOLO, ResNet, DenseNet, and U-Net architectures for detection, classification, segmentation, and anomaly detection, and medical image preprocessing such as normalization, data augmentation (rotations, flips), and histogram equalization. •Enhanced Harrison.ai Radiology platform capabilities by applying multi-modal data integration, expert-labeled datasets, and segmentation models like U2-Net to improve detection of lung diseases, cancers, and hydrocephalus. •Integrated semantic search with Pinecone and advanced NLP pipelines to improve AI knowledge retrieval and clinical context understanding. •Designed and developed advanced medical chatbots supporting multi-turn clinical and patient interactions by using OpenAI GPT-4o model fine-tuned on healthcare data, LangChain, vector stores(e.g., Pinecone) to enable efficient semantic search and retrieval-augmented generation (RAG) of clinical knowledge, Whisper fine-tuned with medical terminologies. •Built healthcare document analysis systems for extracting, summarizing clinical information and answering to clinical queries using PaddleOCR, Google Gemini 2.5 Pro, LLaMA 3.2 Vision, BioBERT, ClinicalBERT, vector embedding, vector stores such as pinecone, FAISS, Milvus, RAG, OpenAI GPT-4o, Langchain, Langraph, etc. •Deployed AI products globally using cloud infrastructure (AWS, Azure), Docker, Kubernetes, and secure API integrations with hospital systems. •Collaborated with cross-functional teams in agile environments using Jira and CI/CD for continuous improvement aligned with clinical requirements.
AI/Computer Vision Engineer at EPS Global 2017 - 2021
•Developed a precision measurement engine to quantify StandOff, Pitch, and Pin Length for various electric device packages (QFP48, QFP64, QFP176, QFP56 – two-sided) from images, leveraging OpenCV, C++, C#, and YOLOv3 for high accuracy in semiconductor component inspection. •Engineered an Optical Character Recognition (OCR) system to extract textual information from electric devices using C++, OpenCV, and PaddleOCR, improving traceability and classification workflows. •Implemented 3D reconstruction software for device measurement by creating stereo vision pipelines, applying camera calibration techniques, and reconstructing precise 3D device views with OpenCV, Stereo Vision, C++, C#, and YOLO. •Contributed to the development of EPS Global’s multi-location device and machine management website using Django, enabling centralized control and monitoring of production assets. •Collaborated across teams applying deep learning frameworks (PyTorch, TensorFlow) for computer vision tasks including segmentation (U2Net, DeepLab) and object detection (YOLO). •Delivered solutions optimizing quality assurance, programming logistics, and device verification aligned with EPS Global’s semiconductor programming services.

Education

Bachelor of Engineering (BEng) in ArtificialIntelligence at Hong Kong University of Science and Technology (HKUST) 2013 - 2017
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