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

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.
Senior Software Engineer (ML/InfoSec/Performance Calculation Services)
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
CTO & Co-Founder
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%
Machine Learning Engineer
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%