Driving the development of AI solutions to support CazVid’s mission of matching candidates with the perfect job and hiring managers with the ideal candidate. Leading the creation of a universal matching algorithm that leverages vector embeddings and a hybrid MongoDB search to improve matching accuracy. I train and deploy neural networks that utilize embedding data, while implementing large language models to boost client productivity. As Director of AI, I guide the strategic use of AI… Show more Driving the development of AI solutions to support CazVid’s mission of matching candidates with the perfect job and hiring managers with the ideal candidate. Leading the creation of a universal matching algorithm that leverages vector embeddings and a hybrid MongoDB search to improve matching accuracy. I train and deploy neural networks that utilize embedding data, while implementing large language models to boost client productivity. As Director of AI, I guide the strategic use of AI technologies, aligning them with business objectives for maximum impact. Show less

ChatGPT API Integration: Spearheaded the integration of the ChatGPT API, automating key client interactions and workflows to significantly improve response time and efficiency. This initiative has enabled our clients to leverage conversational AI for enhanced customer engagement.AI-Powered Support: Employed the Retrieval-Augmented Generation (RAG) model to construct a support desk within the application, enabling customers to receive instant, accurate answers to their inquiries, thereby… Show more ChatGPT API Integration: Spearheaded the integration of the ChatGPT API, automating key client interactions and workflows to significantly improve response time and efficiency. This initiative has enabled our clients to leverage conversational AI for enhanced customer engagement.AI-Powered Support: Employed the Retrieval-Augmented Generation (RAG) model to construct a support desk within the application, enabling customers to receive instant, accurate answers to their inquiries, thereby improving the overall customer service experience.Algorithm Development: Designed and implemented sophisticated matching algorithms using vector databases, streamlining the process of data retrieval and improving the accuracy of information provided to end-users.Data Pipeline Innovation: Utilized Apache Airflow to architect and manage data pipelines for machine learning models, ensuring robust data consistency and reliability across multiple sources. Show less

Product Maintenance: Ensured the seamless functionality of all existing Agency Leads products, overseeing the continual optimization and updating of systems to serve a growing user base without interruption.Cloud Infrastructure Engineering: Played a key role in engineering and maintaining the AWS infrastructure for CazVid, focusing on scalability, security, and performance to support an expanding platform.Cross-Functional Team Collaboration: Collaborated with a diverse, remote… Show more Product Maintenance: Ensured the seamless functionality of all existing Agency Leads products, overseeing the continual optimization and updating of systems to serve a growing user base without interruption.Cloud Infrastructure Engineering: Played a key role in engineering and maintaining the AWS infrastructure for CazVid, focusing on scalability, security, and performance to support an expanding platform.Cross-Functional Team Collaboration: Collaborated with a diverse, remote team to architect a comprehensive web platform that extends the capabilities of the mobile-first CazVid application, enhancing user accessibility and engagement.Acquisition Integration: Facilitated the technical transition post-acquisition, integrating tools, practices, and culture to create a unified and efficient development environment under the new corporate structure. Show less

Innovative Application Development: Built from scratch a comprehensive data entry application using Vue.js and Express.js, creating an intuitive and scalable solution for complex data management tasks.Client-Focused Solutions: Developed a client-facing data retrieval web application, utilizing Vue.js and Express.js to provide a user-friendly interface for data interaction.Database Performance Tuning: Deployed and fine-tuned a Typesense database, optimizing it to enhance query… Show more Innovative Application Development: Built from scratch a comprehensive data entry application using Vue.js and Express.js, creating an intuitive and scalable solution for complex data management tasks.Client-Focused Solutions: Developed a client-facing data retrieval web application, utilizing Vue.js and Express.js to provide a user-friendly interface for data interaction.Database Performance Tuning: Deployed and fine-tuned a Typesense database, optimizing it to enhance query performance dramatically from 4 seconds to 0.4 seconds, thereby improving user satisfaction and system efficiency.Data Synchronization: Implemented robust JavaScript cron jobs that maintain data consistency across various databases, ensuring the reliability of our platform's data ecosystem.Cloud Infrastructure Development: Engineered a resilient and scalable AWS infrastructure with ECS, enabling the deployment of our applications in a secure and efficient cloud environment.Data-Driven Dashboards: Designed and developed insightful Tableau dashboards, providing our sales team and decision-makers with powerful tools to make informed, data-driven decisions. Show less

Working with student team and Dell EMC domain experts on evaluating and determining the root cause of board failure by analyzing diagnostic logs. Utilized data mining, feature selection, mathematical modeling, and artificial intelligence in order to predict and diagnose when and why a board will fail. Met weekly with Dell EMC and presented latest finding with explanatory graphs to make sure they aligned with the project vision. Utilized feature selection techniques such as Chi Squared and… Show more Working with student team and Dell EMC domain experts on evaluating and determining the root cause of board failure by analyzing diagnostic logs. Utilized data mining, feature selection, mathematical modeling, and artificial intelligence in order to predict and diagnose when and why a board will fail. Met weekly with Dell EMC and presented latest finding with explanatory graphs to make sure they aligned with the project vision. Utilized feature selection techniques such as Chi Squared and Pearson correlation. Show less