Anton Gordon Email and Phone Number

As an AI/ML Presales Solutions Architect at AllCloud, I leverage AI and ML technologies to design, prototype, and deploy innovative solutions. I collaborate with executives on AI strategies and ensure the development of scalable, secure, and high-performance AI applications.

SaaS Product Launch on AWS Marketplace: Spearheaded the complete prototyping, development, and deployment of an AI Search SaaS product on AWS, overseeing everything from design to launch. Leading AI Initiatives: Initiated and executed a cutting-edge analytical search engine using Bert Transformers and generative AI, leveraging AWS tools like DynamoDB and Neptune, resulting in improved efficiency and scalability.Managing Cross-Functional Teams: Led a diverse team of developers through complex challenges to deliver a robust, scalable, and secure product.Strategic AI Implementation: Played a key role in developing the company's AI strategy, integrating AI/ML technologies into services and processes.Document Summarization Application: Directed the creation of a high-performance document summarization tool using advanced AI techniques and AWS services, achieving impressive speed and reliability.Innovative Search Engine Development: Built a dynamic search engine with custom neural networks and BERT Transformer layers, integrated with AWS OpenSearch for superior search functionality.Technical Leadership and Mentorship: Provided expert technical guidance, ensuring best practices and high-quality code, aligning with company objectives.Executive Collaboration: Worked closely with C-level executives to define and advance AI initiatives, promoting a culture of innovation.Referral Network Architectural Leadership: Led the creation and deployment of a scalable, secure referral network using AWS, incorporating DynamoDB and Amazon Neptune.OpenAI Prompt Engineering: Innovated with OpenAI prompts for efficient resume information extraction, deploying on AWS and setting industry benchmarks.POC to Production Transition: Successfully moved the referral network from a proof of concept to a fully functional production system, showcasing effective use of DynamoDB and Neptune.

Designed and performed data analytics and created machine learning models using Python, Keras, TensorFlow, Scikit-learn, and XGBoost to process time-series event signals.Conducted detailed graph-theoretic analysis using Python, Jupyter Notebooks, and NetworkX to determine root causes of alarm types in the national grid.Developed machine learning models using RandomForestRegressor, StackingRegressor, and VotingRegressor to generate innovative modeling schema for time series models.Implemented, configured, and tested machine learning and deep learning libraries and platforms such as TensorFlow, Keras, XGBoost, and LightGBM.Used GitHub repository for version control and stored model artifacts using Joblib for machine learning models.