AI/ML delivery leader and Solution Architect combining
hands-on engineering with more than a decade of operations leadership. I
take over enterprise data programs that are behind, over budget, or losing
client confidence, and I thrive in
fast paced environments where requirements change
mid-delivery. I work the problem to its
actual cause rather than patching the symptom, then build
the pipelines, QA systems, and tooling that keep it fixed, so quality
becomes a gate before delivery instead of a finding after it.
When I see a process that can be improved, I do not wait to be asked. I
build the fix and hand it over as something the team can run without me.
When something goes wrong, including my own calls, I say so early,
document what happened, and correct it on the record. That combination of
transparency and
proactive problem-solving 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 translate complex, loosely defined
requirements into actionable engineering plans that deliver high-quality,
scalable solutions.
AI & Machine Learning: Advanced Prompt Engineering &
Optimization, AI Ethics and Governance, ASR and Diarization Pipelines
(WhisperX, pyannote, forced alignment), Generative AI Model Development,
GraphRAG Implementation, Knowledge Graph Development, LLM Evaluation and
Red Teaming, 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, Google Apps Script, HTML, Java, JavaScript, MATLAB, Node.js,
PySpark, Python, R, React, Solidity, SQL, TypeScript, XML
Cloud & Infrastructure: AWS (including EC2 GPU
instances), Docker, Firebase, 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, BigQuery, Business
Intelligence, Cost and Margin Modeling, Data Analysis and Visualization,
Databricks, Data Warehouse Management, DAX, ETL Development, Excel Power
Query, Impact Assessment and Reporting, M-Code, Mode, 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, Root Cause Analysis, Scrum, SDLC, Stakeholder
Communication, Technical Documentation, Waterfall, Workforce Planning
Built a working web application that turns production quality reviews into searchable skill evidence, seeded with 63,630 contributors, 169 projects, 361 skills, and 32,843 historical quality reviews. Delivery managers map skills to project stages, bulk-review entire rosters in seconds, and search for contributors by proven skill evidence rather than self-reported tags. Packaged for a controlled internal pilot with role-based sign-in, and paired with a talent capability strategy for discovering and validating expertise that already exists in a contributor network before recruiting externally.
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.
Own end-to-end delivery of enterprise AI/ML data programs (ASR, transcription, natural language, structured annotation) for Fortune 100 and frontier AI clients.
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Program Recovery (Fortune 100 enterprise software client): Took over a natural language to SQL program six months past deadline and $17K past the total contract value, with 92 of roughly 4,000 requested tasks accepted. Diagnosed that pipeline runs were silently overwriting every client-requested fix, so flagged defects kept shipping back unchanged. Patched the pipeline with an edit guard and delivery preflight, built an automated quality checker that validates and executes every SQL record pre-delivery, and built an automated query pair generator to produce volume with no budget left for contributor hours. Delivered 4,259 QA pairs twelve days after takeover, two days ahead of the extension the client granted instead of terminating. No changes were requested and the client accepted the entire batch.
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Pipeline Engineering (public safety technology client): Inherited a troubled ASR pilot mid-escalation and rebuilt the correction pipeline with versioned rules and a regression gate, delivering 63 files and 36,000+ annotated regions with a full change log. Isolated a systemic timing defect upstream of the annotators and the pipeline, in the automated segmentation seeds, confirmed it acoustically on 27 of 28 files, then authored the root cause documentation and remediation.
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Client Delivery (Fortune 100 technology company): Led a body camera transcription pilot from scoping through delivery and built the production proposal. Found the inherited rate was roughly a quarter of measured production cost, then built the cost and rate justification models, a two pass annotation workflow, a tiered QA taper, and a multi week delivery ramp. Engineered an EC2 based ASR, diarization, and speaker reconciliation pipeline with offline browser review tooling and automated packaging and validation.
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Talent Systems: Built a contributor qualification web application seeded with 63,630 contributors, 169 projects, 361 skills, and 32,843 historical quality reviews, letting managers map skills to project stages, bulk-review rosters, and search contributors by proven skill evidence. Authored the accompanying talent capability strategy and a tiered contributor bench program with a rate premium mechanic.
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Tooling and Reporting: Built a Python package generating multilingual hand filled form templates across seven languages for OCR training data, reusable project margin analysis from Workday exports, and manager rollup dashboards in Mode on Databricks. Diagnosed annotation platform performance issues using HAR captures and performance traces.
Promoted to Expert Project Manager within 14 days of joining as a domain expert, demonstrating rapid mastery of QA processes and immediate leadership impact.
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Quality Measurement and Analytics: Owned quality measurement, tracking, and reporting for generative video evaluation programs at a Fortune 100 technology company (video-to-video, text-to-video, prompt-guided, context captioning). Built QA dashboards, consensus analysis pipelines, and audit analytics using Google Apps Script, React, and Python.
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Consensus Scoring: Designed a consensus scoring method separating genuine quality failures from tasks where expert disagreement reflected subjectivity rather than error, so ambiguity was no longer scored as a defect. Adopted as the standard across consensus-based projects.
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Tooling Adoption: Built a QA dashboard generator replacing manual weekly metrics reporting, saving each project lead roughly six hours per week. Tools integrated directly with client systems and were used by clients to track quality and performance live.
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Cross-Functional Collaboration: Bridged operational execution and client expectations, translating complex QA data into clear quality indicators and improvement recommendations.
Four promotions in under two years: Platinum Team Lead (75
contributors), Senior Coding Quality Manager (30+), Coding Workforce
Manager (150+ leads and managers), and Generative AI Project Consultant
(1,000+ contributors). Scope grew as each process moved from hands-on
build to delegated operation.
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Team Leadership & Mentorship: As Platinum Team Lead,
held the highest retention, lowest churn, highest activity, and highest
quality of any team, with 98%+ contributor engagement and retention.
After a company-wide reduction, 96% of the remaining coding team had
been hired and trained by me, most advancing into project lead, security
engineering, and management roles.
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Root Cause Analysis & Debugging: Uncovered $800,000
in fraudulent payouts from an internal task farm scheme, identified
through output volumes no single contributor could produce, and
implemented controls protecting program integrity.
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Workforce and Quality Systems: Built contractor
availability and capacity tracking for real-time visibility across
coding teams, standardized quality processes, and partnered with the
Security and Automations Engineering director to document secure
development practices.
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Technical Qualification & Enablement: Authored the
technical qualification and training program for a complex UI/UX
project, learning the stack from scratch to build the curriculum, and
designed the prompt engineering strategies used in onboarding.
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Built and presented the Narcolepsy Early Warning System, a full-stack
application that achieved 98% predictability accuracy in enhancing
clinician-patient communication.
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Structured the project using an Agile timeline, delivered technical
presentations to stakeholders, and achieved a 100% score for effective
time and project management.
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Critical Security Discovery: Within 90 days of hire,
discovered and reported a critical security vulnerability in the
university's new hybrid-cloud data warehouse, preventing a catastrophic
breach of sensitive student PII (FAFSA, SSNs) and initiating a
full-scale security investigation.
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Analytics Delivery: Built 40+ Power BI dashboards
across 12 departments, consolidating fragmented data into reporting for
technical and non-technical audiences, including the sustainability
reporting that supported the university's move to Silver status.
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Recognition for Rapid Impact: One of 23 student workers
out of more than 700 nominated for 2023 Student Employee of the Year,
four months after hire.
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Database Optimization: Engineered and optimized the
data backend, reducing query execution time through T-SQL stored
procedure optimization and strategic indexing.
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Selected for a specialized red teaming project to test AI model safety
and security. Analyzed contributor feedback for recurring failure
patterns and trained other contributors on them.
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Demonstrated exceptional aptitude, resulting in a direct recruitment
into a full-time management-track role at parent company Scale AI within
30 days.
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Led and optimized operations for over 125 participants, managing annual
budgets exceeding $20,000 and negotiating all vendor contracts.
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Managed teams of tech support phone agents, Monitored and managed
customer satisfaction KPI's, Created instruction and training materials,
then utilized material to train 100 tech support specialists.
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Provided expert tax preparation services, ensuring compliance and
maximizing client refunds.
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Successfully managed financial records for a portfolio valued at $1.4
million, enhancing data accuracy by 30% through meticulous audits and
thorough transaction reconciliations. Engineered e-commerce platform,
tailored to the business, allowing customers to view and purchase
available inventory.
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Oversaw the processing of 100+ complex loan applications, ensuring 100%
regulatory compliance and reducing processing time by 15%.
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Led multi-site operations with full P&L responsibility, increasing
branch efficiency by 25% through streamlined processing and team
management.
Master of Science in Engineering, Artificial Intelligence (MSE-AI)
University of Pennsylvania, School of Engineering | 12/2025 - Present
(Pursuing, currently enrolled)
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
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Generative AI Models for Natural Language (NLP & NLU) -
IBM | 08/2025
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Python Developer Certificate - SoloLearn | 07/2025
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Foundations in Project Management Certificate - Google
| 07/2024
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Data Analytics Professional Certificate - Google |
05/2023
