Leading the development of advanced AI solutions at StructureFlow, where I architect and implement machine learning systems that transform complex business structures into intuitive visualizations. Spearheading the creation of our computer vision pipeline that automatically processes and analyzes business documents, leveraging YOLO architecture and large language models to extract and interpret critical business relationships.I drive the technical strategy for our AI initiatives, focusing on document understanding and automated diagram generation. My work includes training custom deep learning models on specialized datasets, developing scalable MLOps infrastructure, and creating robust testing frameworks to ensure reliable AI performance. Currently pioneering new approaches to combine computer vision with natural language processing to enhance our platform's ability to understand and visualize complex business documents.

As the Founder of Cynthia Systems, I embarked on a visionary quest to revolutionize the landscape of search and discovery in the digital realm. Drawing upon two decades of expertise in machine learning, artificial intelligence, and cloud technologies, I sought to create an entity that stands as a beacon of ethical AI and equitable access to information. Cynthia Systems is my intellectual brainchild, conceived to address the shortcomings of contemporary search engines by prioritizing accuracy, relevance, and the elimination of ad-driven clutter.Under my leadership, Cynthia Systems has evolved into a pioneering platform that harnesses the power of advanced AI to deliver a search experience that is not only intuitive but deeply insightful. Our mission is to democratize knowledge access, ensuring that every query leads to discovery and enlightenment. By integrating cutting-edge technologies such as Java, TensorFlow, and PyTorch, we've crafted a search engine that respects the user's quest for truth, mirroring the precision and purity of Artemis' aim in the digital forest of information.Cynthia Systems represents a commitment to transforming the way the world engages with information, advocating for a future where search engines serve as custodians of truth and knowledge. As its Founder, I am dedicated to steering this mission towards creating a more informed, equitable, and insightful digital society.

Spearheaded the design, development, and delivery of two innovative Apple Intelligence products for Apple Media Products (AMP), focusing on Apple Music and Apple Classical. The first product, Song Success Prediction (SSP), is an AI model that empowers Apple Music curators to forecast a new song's potential success based on raw audio, lyrics, and album artwork, significantly reducing curation time and identifying tracks likely to perform well across various countries and markets. The second product, SmartForms, is a sophisticated natural language tool that automatically converts stakeholder requirements into technical specifications using Apple Intelligence large language models. Both products leverage cutting-edge deep learning models, including Microsoft's DeBERTa v2, Google's Gemma2:27B, OpenAI's Clip ViT-L/14, and other proprietary Apple models, showcasing a blend of state-of-the-art AI technologies and industry-leading expertise.

As a Machine Learning Engineer at Google Ads, I specialize in employing advanced machine learning algorithms to bolster privacy, trust, and safety for our users. My key responsibilities and achievements include:IVT Prevention: Collaborating with specialized teams, I leverage machine learning to detect and prevent both General Invalid Traffic (GIVT) and Sophisticated Invalid Traffic (SIVT), ensuring the integrity of our ad platform.Privacy and Trust: Developing and refining models that prioritize user privacy while maintaining the efficiency and effectiveness of our ad delivery systems.Safety Initiatives: Working on the front lines to ensure a safe digital ad environment, free from harmful actors and potential revenue losses.Collaboration: Engaging with cross-functional teams, I contribute to the continuous evolution of strategies and algorithms that respond to the ever-changing landscape of digital ad threats.

Within the Alexa Trust organization at Amazon, I functioned as a Senior Software Development Engineer, championing the development and deployment of robust technological solutions aimed at enhancing and preserving customer trust through vital products and services. A significant highlight of my tenure was taking the helm as the lead engineer for the "Care Hub" feature, an integral component of "Alexa Together." This innovative feature transformed Alexa into a pivotal remote caregiving tool tailored for the elderly and individuals opting for aging-in-place. The Care Hub, accessible via the Alexa app, provides caregivers with a timeline-based activity feed, empowering them with a real-time overview and assurance of the well-being of their loved ones. More about this transformative feature can be explored at:https://www.amazon.com/Alexa-Together/b?node=21390531011

Committed to PayPal’s vision of empowering every individual to fully engage in the global economy, I played a pivotal role in the Customer Success & Insights team. As a Principal Machine Learning Engineer, my contributions were instrumental in driving customer success and bolstering operational efficiency through cutting-edge AI/ML strategies.Key Achievements and Responsibilities:Collaborative Leadership: Worked synergistically with cross-functional teams, exemplifying teamwork and shared purpose. Actively contributed to PayPal's Global Data Science programs, fostering an environment of shared expertise and learning.Deep Learning Engineering: Spearheaded the transformation from rule-based engines to deep learning methodologies in intent recognition, search optimization, knowledge management, and personalization. This migration led to a significant reduction in manual efforts and expanded system efficiency.AI Enablement: Authored "Paige," the proprietary PayPal AI General Enablement library, which seamlessly integrates with the Technology Platform Experience (TPX) to provide on-the-fly AI inferences.Innovation in Deployment: Designed "Precision", a suite of Deep Learning containers crafted to expedite the development and deployment process of TensorFlow models across both Python and Java environments.Forensic Analytics: As a lead Data Scientist, I pioneered analytical models for call center forensic case reviews, arming PayPal with robust defenses against social engineering, phishing, and policy abuse using TensorFlow.Research & Development: Played a consultative role, offering strategic insights on best practices in knowledge discovery, process automation, and the nuances of Reinforcement Learning.Customer Care Evolution: Made notable contributions to PayPal's OMNI Channel Platform, an avant-garde solution devised to orchestrate and harmonize customer care touchpoints.

As a Lead Machine Learning Engineer at Apple, I was at the forefront of harnessing the power of applied machine learning to transform hardware diagnostics, real-time decision-making processes, and customer support paradigms. Anchored by Apple's steadfast dedication to privacy and security, I architected platforms that stand as robust pillars of Apple's customer-facing solutions.Key Achievements and Responsibilities:Collaborative Expertise: Embedded within Apple's multi-disciplinary teams, I actively contributed to the Apple Care and Strategic Data Science initiatives, fostering an ecosystem of collaborative innovation and ensuring the best application of data-driven insights.System Architecture & ML Integration: Designed and developed high-availability systems that seamlessly integrated machine learning models to deliver precise, real-time insights for hardware diagnostics and decision-making.Customer Support Evolution: My architectural contributions substantially enhanced Apple's customer support experience, ensuring swift, intelligent, and tailored responses, all underpinned by advanced machine learning algorithms.Privacy & Security Advocate: While pushing the boundaries of technological innovation, I was a staunch upholder of Apple's commitment to user privacy and security, ensuring that every solution we deployed maintained the trust of our global user base.Educational Outreach: Engaged in knowledge dissemination, demonstrated through resources like the "Apple Service Toolkit" tutorial, aiding both internal teams and the broader community in leveraging Apple's tools to their maximum potential. Apple Service Toolkit - How to use AST 2 in Granular Level with MRI - iOSGeniushttps://www.youtube.com/watch?v=5UJExcWZetY