Experience
Competitive Sailing Sabbatical & Performance Engineering
October 2024 - July 2025
• Competed at elite international level across multiple training camps and four international regattas, culminating in a top-50 finish at the World Championship
• Achieved 47th place out of 140 competitors at the 2025 International Moth World Championship (Malcesine, ITA), ranking as one of the top amateur sailors globally
• Orchestrated comprehensive campaign logistics including multi-country travel coordination, customs/import-export compliance, and six-figure budget management
• Executed advanced composite engineering: carbon fiber laminate repairs, structural reinforcement design, custom hardware fabrication, and precision splicing of high-modulus Dyneema/Spectra cordage
• Architected and deployed end-to-end Python data science pipeline processing telemetry from Vakaros GPS/IMU sensors, implementing ML-based optimization algorithms that improved Velocity Made Good (VMG) by ~8% through systematic A/B testing of setup configurations
• Integrated computer vision models (OpenCV, YOLO) for real-time sail shape analysis, correlating visual data with performance metrics to optimize aerodynamic efficiency
• Led cross-functional training squad of 8+ athletes, designing evidence-based drill progressions and conducting comprehensive video analysis and data-driven performance debriefs to accelerate collective skill development
Backend Engineering Lead
Farther Finance | Remote | July 2020 - October 2024
• Founding backend engineer who architected and scaled core infrastructure from zero to supporting $4B+ in assets under management, serving 100+ advisors and thousands of clients across product, growth, and proprietary investment technology verticals
• Designed and implemented distributed microservices architecture using Scala, leveraging functional programming paradigms and reactive streams to ensure type-safe, fault-tolerant systems capable of handling high-throughput financial transactions
• Engineered real-time data processing pipelines using AWS Lambda, Glue, and Kinesis, implementing event-driven architectures that reduced latency by 70% and improved system observability through comprehensive instrumentation
• Led architecture design for proprietary investment technology platform, incorporating quantitative analysis tools, backtesting frameworks, and automated rebalancing algorithms that directly contributed to AUM growth
• Drove technical strategy during pivotal product-market fit discovery phase, rapidly prototyping and iterating on backend systems to support multiple product pivots while maintaining zero-downtime deployments
• Established engineering best practices including comprehensive test coverage (>85%), CI/CD automation with GitHub Actions and AWS CodePipeline, infrastructure-as-code with Terraform, and detailed API documentation
• Built and mentored high-performing engineering team through hypergrowth phase, conducting technical interviews, designing onboarding programs, and fostering culture of code review excellence and continuous learning
• Collaborated cross-functionally with product managers, data scientists, and investment strategists to translate complex financial requirements into scalable technical solutions
Software Engineering Intern | Advanced R&D, Next-Generation 5G Systems
Qualcomm | San Diego, CA | June 2016 - August 2016
• Conducted rigorous bit-level numerical analysis and optimization of SIMD (Single Instruction, Multiple Data) firmware arithmetic operations for next-generation 5G wireless communication systems
• Implemented high-performance data structures and algorithms in C for resource-constrained embedded environments, achieving measurable improvements in signal processing throughput and power efficiency
• Collaborated with senior architects and principal engineers in Qualcomm's elite R&D division to enhance real-time signal processing efficiency for 5G baseband processors
• Delivered technical presentations to executive leadership, providing actionable insights on firmware optimization strategies that influenced future product roadmap decisions for 5G modem deployments
Skills
Programming Languages:
• Expert: Scala, Python, Java, Go, MATLAB, SQL
• Proficient: Haskell, C/C++, Javascript/Typescript, R
• Familiar: Rust, Julia, Kotlin
AI/ML & Data Science:
• Deep Learning Frameworks: PyTorch, TensorFlow, JAX, Keras
• ML Libraries: scikit-learn, XGBoost, LightGBM, CatBoost
• NLP: Transformers, HuggingFace, spaCy, BERT/GPT fine-tuning, RAG architectures
• Computer Vision: OpenCV, YOLO, semantic segmentation, object detection
• MLOps: MLflow, Weights & Biases, model versioning, A/B testing frameworks
• Data Processing: Pandas, NumPy, Polars, Apache Spark, Dask
• Vector Databases: Pinecone, Weaviate, FAISS, Chroma
• LLM Engineering: Prompt engineering, fine-tuning, RLHF, LangChain, LlamaIndex
Software Engineering & Architecture:
• Distributed Systems, Microservices Architecture, Event-Driven Design
• API Design (REST, GraphQL, gRPC), Service Mesh (Istio)
• Functional Programming, Type Theory, Category Theory
• Real-time Data Processing, Stream Processing (Kafka, Kinesis)
• Performance Optimization, Profiling, System Design at Scale
Cloud & Infrastructure:
• AWS: EC2, ECS, EKS, Lambda, SageMaker, Bedrock, Glue, EMR, RDS, S3, CloudFormation
• GCP: Vertex AI, BigQuery, Cloud Functions
• Azure: Machine Learning, Cognitive Services
• Container Orchestration: Docker, Kubernetes, Helm
• Infrastructure as Code: Terraform, Pulumi, CloudFormation
• CI/CD: GitHub Actions, GitLab CI, Jenkins, CodePipeline, ArgoCD
• Monitoring: Datadog, Prometheus, Grafana, ELK Stack
Development Tools:
• Version Control: Git, GitHub, GitLab
• IDEs: VS Code, IntelliJ IDEA, PyCharm, Jupyter
• Databases: PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, Elasticsearch
• Message Queues: RabbitMQ, AWS SQS, Apache Kafka
• Unix/Linux, Shell Scripting (Bash, Zsh), LaTeX, Vim