Igor Pontes
Senior Machine Learning Engineer @AAPC
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WORK HISTORY
Senior Machine Learning Engineer @AAPC
Toronto, ON, CA
Focused at the intersection of MLOps and deploying Large Language Models (LLMs) on Kubernetes, orchestrating seamlessly.In this role at Semantic Health, later acquired by AAPC, I design and implement feature and inference pipelines, utilizing Prefect, Seldon, MLflow, and Feast for efficient model deployment and management in healthcare.Key Responsibilities:• Implement, train, and optimize LLMs for healthcare applications, ensuring accuracy and efficiency.• Utilize Kubernetes for scalable LLM deployment across GPUs and servers.• Oversee data preprocessing to maintain quality and relevance for LLM inputs.• Apply advanced methods, like RAG, for enhanced model outputs.• Stay updated on open-source LLM advancements.This role demonstrates my commitment to advancing machine learning applications in healthcare, combining technical expertise with strategic collaboration for optimal results.
EDUCATION
Universidade Federal de Sergipe
Bachelor's degree, Computer Science
Université Laval
Master's degree, Artificial Intelligence
Universidade Federal de Pernambuco
Bachelor's degree, Computer Science
Cégep de Sainte-Foy
Deep learning
Cégep de Sainte-Foy
Data Science - machine learning
SKILLS
ABOUT IGOR PONTES
Experienced Senior Machine Learning Engineer | 12 Years of Proven ExcellenceAs a seasoned Senior Machine Learning Engineer with over 12 years of comprehensive expertise, I bring a wealth of knowledge spanning software development, architecture, data analysis, and data science. My diverse skill set is highlighted by: Proficiency in Python and C# with a robust foundation in object-oriented programming. Expertise in analyzing extensive datasets to derive actionable insights, facilitating informed decision-making. Seasoned in DevOps, MLOps and LLMOps, ensuring seamless integration and deployment of machine learning solutions. Proficient in modern data warehouse architecture, optimizing data infrastructure for efficiency. Profound experience in mobile application development across platforms (iOS, Android, Cordova). Demonstrated proficiency in constructing applications on leading cloud platforms, including Azure, AWS and GCP. Strong familiarity with Python machine learning libraries (Pandas, NumPy, Scikit-learn), R, and deep learning with TensorFlow and PyTorch. Proficiency in data science development tools such as Jupyter and RStudio. Strong knowledge of algorithm design, microservices architecture, and databases. Quick learner, adept at adapting to new processes and emerging technologies, with a passion for programming and data science contests. Multilingual, fluent in English, French, and Portuguese.Technical Strengths: Programming: Python, R, C#. Data Analysis & Manipulation: Pandas, NumPy, Seaborn, Azure Data Factory. Machine Learning: Scikit-learn, TensorFlow, PyTorch.🤖 Natural Language Processing: NLTK, SpaCy, Stanford CoreNLP, Transformers, LangChain. Data Visualization: Matplotlib, PowerBI. DevOps & MLOps: Git, Azure DevOps, GitHub Actions, Kubernetes, ArgoCD (GitOps continuous delivery), Terraform. Data Science Tools: Jupyter, RStudio, Prefect (workflow orchestration), Feast (Feature Store), MLflow (Model registry, Experiment Tracking), Seldon (Inference Server), Databricks. Database Management: PostgreSQL, SQL Server and Oracle. Cloud Platforms: Azure, AWS, Google Cloud Platform (GCP).I am enthusiastic about contributing my expertise to companies seeking a seasoned professional in the realms of senior machine learning engineering or senior data science. Let\'s connect and explore how I can drive innovation and success within your organization.
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