Anderson Whittle

Senior Software Engineer @Autopilot

Applied AI Engineer specializing in ML infrastructure, performance optimization, and scalable systems

Machine LearningFull-StackCloud ArchitectureDevOps

About

Self Portrait

Dynamic and results-driven Engineer with over five years of experience in pioneering cutting-edge technologies. Proven expertise in developing scalable AI-driven software, robust web applications, and user-focused platforms. Co-founded and led a tech startup, driving the development of a full-stack application that scaled to over 10,000 users and secured $300K in funding. Acclaimed for leadership in managing cross-functional teams and spearheading innovative AI solutions that align with strategic business objectives. Recognized for blending technical acumen with strategic vision to deliver impactful results.

Experience

Autopilot Investments

Senior Software Engineer (ML/InfoSec/Performance Calculation Services)

2025 - Present
Irvine, CA

Spearheaded legacy system modernization achieving 67% computation reduction and $500K+ annual savings through Timescale infrastructure migration

Led complete architecture of performance analytics infrastructure serving all investment products with real-time metrics and dynamic rebalancing algorithms

Architected MCP server infrastructure for AI-driven compliance automation, reducing support tickets by 40%

Rebuilt mission-critical asset quote microservice from NestJS to Rust, achieving 99.9% uptime

Real Hire, Inc

CTO & Co-Founder

2023 - 2025
Miami, FL

Led development of recruiting SaaS platform scaling to 10,000+ users and securing $300K in Seed funding

Architected robust backend with Node.js, Python, Rust, and MongoDB achieving 99% uptime

Built NLP-driven resume parsing system reducing manual review time by 70%

Developed AI matching algorithms increasing user engagement by 35% and reducing placement times by 20%

Wells Fargo

Machine Learning Engineer

2021 - 2023
Charlotte, NC

Developed PyTorch ML framework for generative AI models supporting 100+ developers

Designed ML algorithms reducing annual loan collection losses by $3M with 20% accuracy increase

Built real-time anomaly detection system reducing fraudulent transactions by 30%

Optimized data pipelines with Kafka and Airflow reducing latency by 40%

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