A results-driven AI/ML Engineering Manager and Solution Architect with a unique background blending deep technical expertise with over a decade of leadership. My leadership philosophy is rooted in absolute transparency and is guided by a single, non-negotiable KPI: the success and growth of every individual on my team. I believe a leader's success is indivisible from their team's; if a single member is struggling, I consider it a collective challenge that reflects directly on my leadership and requires immediate, empathetic support and mentorship to resolve.
This people-first approach is powered by a "solutions surgeon" mindset—I focus on proactive problem-solving by engineering robust systems and processes that prevent headaches, rather than just treating them with band-aids. This requires a high degree of adaptability and a talent for navigating ambiguity, a skill demonstrated when I rapidly mastered a modern UI/UX stack from the ground up to build an entire team's training curriculum. Through expert prompt engineering, cross-functional collaboration and clear communication, I excel at translating complex, loosely defined requirements into actionable engineering plans that deliver high-quality, scalable solutions and foster a culture of proactive excellence.
AI & Machine Learning: Advanced Prompt Engineering & Optimization, AI Ethics and Governance, Generative AI Model Development, GraphRAG Implementation, Knowledge Graph Development, LLM Training and Fine-tuning, Machine Learning Frameworks (TensorFlow, PyTorch, Keras), Natural Language Processing (NLP/NLU), RAG
Programming & Development: Android Studio, API Development and Integration, Bootstrap, C, C++, CSS, Dart, Flutter, GraphQL, HTML, Java, JavaScript, MATLAB, Node.js, PySpark, Python, R, React, Solidity, SQL, TypeScript, XML
Cloud & Infrastructure: AWS, Docker, Google Cloud Platform, Kubernetes, Microsoft Azure, Microsoft Power Platform, Networking and Infrastructure Basics, Power Automate (Flow), Salesforce, SharePoint, System Architecture Design
Data & Analytics: Ad Hoc Analysis, Business Intelligence, Data Analysis and Visualization, Data Warehouse Management, DAX, ETL Development, Excel Power Query, Impact Assessment and Reporting, M-Code, Pandas, Pivot Tables, Power BI, Tableau
Database & Storage: Database Management, Data Privacy Regulations (GDPR, CCPA), MongoDB, NoSQL, Performance Tuning and Optimization, SQL Server (SSMS)
DevOps & Automation: Automation and Scripting, Azure DevOps, Bash, CI/CD Pipelines, DevOps Practices and Tools, Docker, Git, GitHub, Kubernetes, PowerShell, Version Control Systems
Methodologies & Management: Agile, Operations Management, Problem Solving and Analytical Skills, Product Management, Project Management, Scrum, SDLC, Stakeholder Communication, Technical Documentation, Waterfall
Built a production-grade React application that transforms raw QA export data into interactive dashboards for AI training operations. The tool is actively used by project leads and clients to monitor quality metrics, track expert performance, and make data-driven decisions. Features include dynamic data processing, multi-stakeholder views, real-time quality tracking, and flexible filtering by project, date range, and expert. Engineered to handle thousands of audit records with sub-second rendering while maintaining enterprise-ready professional interfaces suitable for client presentations.
Owned the entire 0-to-1 product lifecycle for an intelligent job matching system. Engineered a full-stack application that parses uploaded resumes to extract key skills and experience, queries job board APIs, filters for remote-only roles, and uses a matching algorithm to display positions with >70% alignment score. Conceptualized, designed, developed, tested, debugged, and launched into production in a three-day sprint.
Conceptualized and built from scratch to explore how AI can guide meaningful career development. The tool takes unstructured user inputs like personality traits, hobbies, and preferences, and outputs tailored career paths with actionable steps needed to enter each field. Integrated with Anthropic's Claude AI for intelligent conversational guidance. Launched into production in a 15-hour 0-1 sprint.
Developed a comprehensive web-based vision therapy platform for individuals with amblyopia (lazy eye). Features dichoptic therapy modes using red-blue 3D glasses, multiple game types (Tetris, Breakout, Target Tracking), and medical-grade considerations including session timers and progressive difficulty scaling. Built with advanced JavaScript ES6+ featuring object-oriented architecture, collision detection algorithms, and 60fps game loops. WCAG 2.1 AA compliant with cross-browser compatibility.
Developed a web application solving communication challenges in global remote workforce management. Enables employees to set and update weekly availability with real-time tracking, automated reporting, and secure Google Cloud authentication. Built with Firebase and BigQuery for data persistence, reducing communication friction across time zones.
Designed and implemented a comprehensive data visualization system for Southern New Hampshire University's sustainability initiatives. Transformed raw environmental data into actionable insights using Python, SQL, and Power BI. Created interactive dashboards for energy consumption, waste management, and carbon footprint tracking. Contributed to the university achieving Silver status in sustainability rankings.
Promoted to Expert Project Manager within 14 days of joining as a domain expert, demonstrating rapid mastery of QA processes and immediate leadership impact.
Progressed rapidly through four promotions in under two years, culminating in a senior role leading the quality, integration, and delivery for large-scale Generative AI systems. Built and directed a technical leadership team of over 150 senior engineers and AI consultants responsible for a 2,500-person global workforce.
Master of Science in Engineering, Artificial Intelligence (MSE-AI)
University of Pennsylvania, School of Engineering | 12/2025 - Present
(Pursuing - Enrolled - Expected Graduation date: 12/2027)
Bachelor of Science in Computer Science – Concentration in Data
Analysis & Project Management
Southern New Hampshire University | 05/2022 - 08/2024
Summa Cum Laude • GPA: 4.0