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I’m Konstantinos Malliaros, an AI/ML Software Engineering Lead with 11+ years delivering production, real-time, and safety-critical systems across Defense, Formula One, Automotive, and healthcare. I enjoy turning ambiguous requirements and messy data into reliable, end-to-end solutions—typed APIs, evaluation and guardrails, deployment, and observability—so teams can ship confidently and improve continuously. Most recently, I lead AI/ML and platform engineering efforts for Talos Technology’s NeurotorQ platform, including optimization algorithms for electric motor design workflows and cloud capabilities for the Talos Motor Technology Hub. Previously, as founding engineer at Marley Health, I built secure AWS-based MLOps and API services to productionize research ML notebooks for clinical needs, always focusing on operational resilience and measurable impact.…I’m Konstantinos Malliaros, an AI/ML Software Engineering Lead with 11+ years delivering production, real-time, and safety-critical systems across Defense, Formula One, Automotive, and healthcare. I enjoy turning ambiguous requirements and messy data into reliable, end-to-end solutions—typed APIs, evaluation and guardrails, deployment, and observability—so teams can ship confidently and improve continuously. Most recently, I lead AI/ML and platform engineering efforts for Talos Technology’s NeurotorQ platform, including optimization algorithms for electric motor design workflows and cloud capabilities for the Talos Motor Technology Hub. Previously, as founding engineer at Marley Health, I built secure AWS-based MLOps and API services to productionize research ML notebooks for clinical needs, always focusing on operational resilience and measurable impact.

Konstantinos Malliaros

AI Engineer, Software Engineer, DevOps Developer, +2

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I’m Konstantinos Malliaros, an AI/ML Software Engineering Lead with 11+ years delivering production, real-time, and safety-critical systems across Defense, Formula One, Automotive, and healthcare. I enjoy turning ambiguous requirements and messy data into reliable, end-to-end solutions—typed APIs, evaluation and guardrails, deployment, and observability—so teams can ship confidently and improve continuously. Most recently, I lead AI/ML and platform engineering efforts for Talos Technology’s NeurotorQ platform, including optimization algorithms for electric motor design workflows and cloud capabilities for the Talos Motor Technology Hub. Previously, as founding engineer at Marley Health, I built secure AWS-based MLOps and API services to productionize research ML notebooks for clinical needs, always focusing on operational resilience and measurable impact.…I’m Konstantinos Malliaros, an AI/ML Software Engineering Lead with 11+ years delivering production, real-time, and safety-critical systems across Defense, Formula One, Automotive, and healthcare. I enjoy turning ambiguous requirements and messy data into reliable, end-to-end solutions—typed APIs, evaluation and guardrails, deployment, and observability—so teams can ship confidently and improve continuously. Most recently, I lead AI/ML and platform engineering efforts for Talos Technology’s NeurotorQ platform, including optimization algorithms for electric motor design workflows and cloud capabilities for the Talos Motor Technology Hub. Previously, as founding engineer at Marley Health, I built secure AWS-based MLOps and API services to productionize research ML notebooks for clinical needs, always focusing on operational resilience and measurable impact.

Available to hire

I’m Konstantinos Malliaros, an AI/ML Software Engineering Lead with 11+ years delivering production, real-time, and safety-critical systems across Defense, Formula One, Automotive, and healthcare. I enjoy turning ambiguous requirements and messy data into reliable, end-to-end solutions—typed APIs, evaluation and guardrails, deployment, and observability—so teams can ship confidently and improve continuously.

Most recently, I lead AI/ML and platform engineering efforts for Talos Technology’s NeurotorQ platform, including optimization algorithms for electric motor design workflows and cloud capabilities for the Talos Motor Technology Hub. Previously, as founding engineer at Marley Health, I built secure AWS-based MLOps and API services to productionize research ML notebooks for clinical needs, always focusing on operational resilience and measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Advanced

Greek, Modern

Fluent

Work Experience

AI/ML Software Engineering Lead at Talos Technology

June 1, 2026 - Present

Lead the design, development, training, and optimization of software systems for Talos Technology’s NeurotorQ platform. Develop optimization algorithms for electric motor design workflows and build the cloud/platform engineering capabilities for the Talos Motor Technology Hub.

Co-Founder (Part-time) at SK Dream Properties

January 1, 2026 - Present

Founded and operated a UK property investment business and built an intelligence data platform for deal-finding, deal-sourcing, and CRM purposes. Designed and deployed a citation-grounded RAG pipeline over planning PDFs, company knowledge markdown files, APIs, and structured property data using context-aware chunking, embeddings, metadata filtering, and hybrid retrieval.

Founding Engineer, Machine Learning Systems Engineer at Marley Health

December 1, 2025 - June 30, 2026

First engineering hire responsible for technical roadmap, AWS architecture, MLOps strategy, and engineering standards. Translated clinical/product needs into production ML systems, productionized Python research notebooks via secure APIs, and established automated testing, CI/CD, observability, and operational failure handling. Designed AWS infrastructure (Terraform/Terragrunt), APIs, and ETL pipelines using AWS IoT Core for ingestion, Lambda/S3/data lake for processing and storage, SageMaker for ML operations, and real-time health-tech data serving.

Systems Engineer at Williams Racing Formula One Team

January 1, 2025 - December 31, 2025

Configured, validated, and monitored onboard electronic systems and software across 14 Formula One test events, diagnosing failures and protecting data accuracy under live operational pressure. Built and maintained internal Python/C# engineering tools using clean-code principles, disciplined testing, and rigorous review. Developed ML models for vehicle performance optimization, predictive maintenance, and strategy optimization; analyzed real-time telemetry and performed live calibration during track and dyno sessions.

R&D Controls Software Engineer at Williams Racing Formula One Team

November 1, 2023 - January 31, 2025

Led migration of departmental data into AWS S3 by designing ETL pipelines and data application services to enable fast access to historical and real-time data for analysis, simulation, and decision-making. Delivered Python and C# data-processing tools used daily for post-processing, visualization, model validation, and real-time control-system development. Developed LabVIEW software and FPGA modules for precision-critical embedded real-time control across multiple test rigs.

Senior Control Systems & Software Engineer at Aston Martin Lagonda

December 1, 2021 - November 30, 2023

Owned development, testing, and calibration of safety-critical control algorithms for the Aston Martin Valkyrie’s active chassis systems—from simulation through HIL validation and vehicle integration. Modeled system behavior against reliability and performance KPIs and led failure-mode diagnosis, functional-safety testing, and closed-loop hardware/software validation. Developed end-of-line procedures for active systems software testing in the production line.

Senior Quality Control Officer | Technical Project Manager | Flight Line Supervisor at Hellenic Air Force

July 1, 2015 - November 30, 2021

Progressed through engineering leadership roles in mission-critical aviation, leading teams of up to 14 and delivering airworthiness, maintenance, test, and incident-investigation programmes. Used Python and flight-test data to evaluate normal and failure-mode behavior, improve reliability, support certification, and inform operational decisions. Planned and delivered squadron engineering workflows, maintenance programmes, test campaigns, and resource plans under mission-critical time constraints.