Technical Director Resume Example

Technical Director, AI Platform · Nexus Innovations

Seattle, WA · 2019 - Present

• Led a team of 35 engineers across multiple sub-teams, overseeing the development and operation of a company-wide AI platform supporting over 20 product lines and 500+ data scientists.
• Architected and delivered a new real-time inference engine, reducing model prediction latency by 40% and increasing throughput by 200% for critical customer-facing applications.
• Drove a cloud migration strategy for ML workloads to AWS, cutting operational costs by 25% ($3M annually) while enhancing scalability and disaster recovery capabilities.
• Implemented a robust MLOps pipeline, automating model deployment, monitoring, and retraining, which accelerated model release cycles by 50% and improved model reliability by 15%.

Principal Engineer, Data Infrastructure · DataStream Solutions

Palo Alto, CA · 2012 - 2019

• Led design and implementation of a next-generation data lake using Apache Hudi and AWS S3, reducing data ingestion costs by 30% and improving query performance by 2x.
• Managed a team of 12 data engineers, fostering an agile development environment that delivered key data platform features 20% ahead of schedule.
• Developed and optimized distributed data processing pipelines using Apache Spark, handling over 50TB of daily data and improving data freshness by 60%.
• Pioneered the adoption of data governance standards and tooling, ensuring compliance with GDPR and CCPA and reducing data-related incidents by 70%.

Senior Software Engineer, Search & Recommendation Systems · CogniTech Solutions

Boston, MA · 2004 - 2012

• Designed and implemented core components of a high-performance e-commerce search engine, resulting in a 10% uplift in user engagement and a 5% increase in conversion rates.
• Optimized ranking algorithms for product recommendations, increasing click-through rates by 15% and generating an additional $2M in annual revenue.
• Developed and maintained scalable microservices in Java and Python, improving system uptime to 99.99% through robust error handling and monitoring.
• Mentored junior engineers and contributed to code reviews, raising overall team code quality by 20% and reducing post-release bugs by 25%.

Ph.D. in Computer Science · University of Washington

Seattle, WA · 2000 - 2004

• Dissertation on 'Scalable Machine Learning Algorithms for Large-Scale Data Processing'
• Awarded Presidential Fellowship for research excellence and presented findings at three international conferences

B.S. in Computer Engineering · Purdue University

West Lafayette, IN · 1994 - 1998

• Graduated Summa Cum Laude with a 3.95/4.0 GPA
• Recipient of the John R. Bell Scholarship for academic achievement

Technical Director · Cognito AI Labs

Austin, TX · 2019 - Present

• Led a department of 5 scrum teams (45+ engineers) delivering enterprise AI/ML solutions, increasing product release velocity by 35% and reducing critical bugs by 20% within 18 months.
• Architected and oversaw the migration of legacy machine learning pipelines to a cloud-native Kubernetes platform, resulting in a 40% reduction in operational costs and 99.9% uptime for core services.
• Championed the adoption of a new federated learning framework, enabling secure data collaboration and expanding market reach by attracting 3 new key clients worth over $10M in annual revenue.
• Developed and mentored 5 senior engineering managers, improving team engagement scores by 15% and reducing voluntary turnover in the department by 10% year-over-year.
• Managed a $12M annual R&D budget, consistently delivering projects on time and within scope while identifying opportunities for tech innovation that led to 2 patent filings.

Director of Engineering · SynergyTech Solutions

Austin, TX · 2015 - 2019

• Directed an engineering division of 3 development teams (25 engineers) responsible for core SaaS platform components, achieving 95% on-time project delivery for 15 major feature releases.
• Implemented microservices architecture for a monolithic application, which enhanced scalability to support a 200% user growth and improved system performance by 50%.
• Established robust CI/CD pipelines using Jenkins and Docker, decreasing deployment times from 4 hours to 15 minutes and improving developer efficiency by 25%.
• Collaborated closely with product management to define technical roadmaps, translating complex business requirements into actionable engineering plans that secured $5M in Series B funding.
• Mentored junior to mid-level engineers, leading to a 30% increase in team productivity and a 20% promotion rate within the department.

Lead Systems Engineer · Quantum Dynamics Research

Houston, TX · 2006 - 2015

• Managed the design, development, and integration of complex embedded control systems for advanced aerospace prototypes, completing 7 projects ahead of schedule.
• Optimized system performance metrics by 15% through meticulous component selection and rigorous testing protocols, reducing overall hardware failure rates by 10%.
• Authored and presented technical specifications and test plans to executive stakeholders and external partners, ensuring clear communication and alignment across all project phases.
• Led a cross-functional team of 8 engineers in the successful deployment of a real-time data acquisition system, processing over 10TB of sensor data daily.
• Spearheaded initiatives to improve system reliability and fault tolerance, resulting in a 25% reduction in system downtime during critical experimental phases.

Master of Science in Computer Science · The University of Texas at Austin

Austin, TX · 2015 - 2018

• Specialization in Distributed Systems and Artificial Intelligence
• Completed thesis on 'Optimizing Containerized Workloads in Hybrid Cloud Environments'

Bachelor of Science in Aerospace Engineering · Georgia Institute of Technology

Atlanta, GA · 2002 - 2006

• Graduated Magna Cum Laude, GPA: 3.8/4.0
• Awarded Dean's List every semester for academic excellence
• Relevant coursework: Control Systems, Fluid Dynamics, Computational Mechanics