プロフィール詳細

プロジェクトを作成

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Andrew L.に依頼

United States

Full-Stack AI Engineer | LLM & GenAI Specialist | GPT/RAG Integration | Scalable AI Solutions for Real-World Impact

プロフィール概要

I am an AI Engineer and Full-Stack Machine Learning Specialist with over 10 years of experience building and deploying end-to-end AI systems in production. I hold a Master’s degree in Computer Science and have worked across diverse industries, including healthcare, telecom, e-commerce, and food logistics. My expertise spans deep learning, NLP, computer vision, time series forecasting, and large language models (LLMs). I’ve led the design and implementation of real-time AI solutions, including GPT/LLM fine-tuning, Retrieval-Augmented Generation (RAG) pipelines, semantic search systems, and generative AI agents. I’m skilled in integrating AI into scalable cloud-based infrastructures using tools like FastAPI, Docker, Kubernetes, AWS/GCP, and LangChain. My previous work includes OCR systems for medical devices, QA and root-cause models for telecom networks, and predictive analytics for supply chain optimization. I’m passionate about emerging AI applications, including multimodal systems, blockchain + AI integrations, and MLOps automation. 🔹 Key Skills Languages: Python, JavaScript (TypeScript, Node.js), SQL, C++, Bash AI/ML Frameworks: PyTorch, TensorFlow, Scikit-learn, Keras, Hugging Face Transformers LLMs & GenAI: OpenAI, GPT-J, LLaMA, LangChain, RAG, Weaviate, Pinecone Computer Vision: YOLOv5/v8, Detectron2, MMDetection, OpenCV MLOps/Automation: MLflow, DVC, BentoML, Docker, Kubernetes, Airflow Cloud Platforms: AWS (SageMaker, Lambda), GCP (Vertex AI), Azure Web Stack: FastAPI, Flask, Django, React, Next.js Big Data & DevOps: Apache Spark, Hadoop, GitHub Actions, Jenkins Blockchain/Web3 (optional): Smart contract automation, crypto APIs, AI-enhanced analytics Other Tools: Streamlit, Tableau, Notion, VS Code, Postman 🔹 Notable Projects Human Gaze Tracking System (Kickback Space): Built a real-time CNN-transformer hybrid model for VR devices. AI Vision Systems (Johnson & Johnson): Created OCR and object detection tools for medical devices using YOLOv5 and semantic segmentation with self-supervised learning. Telecom QA & Root Cause Models (Fujitsu America): Engineered BERT-based QA systems and anomaly detection pipelines to reduce issue resolution time. Food Forecasting Engine (SJ Foods): Developed LSTM and ARIMA-based models to predict price and inventory trends, reducing food waste. LLM Solutions (Freelance): Built GPT-integrated customer support bots, semantic search apps, and production-grade RAG pipelines.

専門分野

• ☆ Data Analysis
• ☆ Machine Learning
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Python
• ☆ SQL
• ☆ Java
• ☆ Tensorflow
• ☆ R
• ☆ Tableau
• ☆ Scikit-learn

サービス

• Research
• Consulting
• Data & AI

Research Scientific and Technical Research

Consulting Business Strategy Consulting, Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

職務経験

Fujitsu (United States)

- 現在

Senior ML Engineer

Johnson and Johnson

1月 2023 - 10月 2024

Applied ML Engineer

Kickback Space

3月 2018 - 2月 2022

ML Engineer

SJ Foods

1月 2015 - 1月 2018

学歴

Masters of Science

Northeastern State University - United States

9月 2006 - 8月 2013

認定資格

• Deep Learning Specialization

  deeplearning.ai

  1月 2023 - 現在

• Generative AI with LLMs

  Deeplearning.AI & AWS

  1月 2022 - 現在