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Senior Software Engineer and AI Specialist

Senior Software Engineer — LLM/AI Specialist | Distributed Systems & Data Engineering Expert

Europe (Remote-based)

Description

This technologist brings over a decade of expertise in distributed computing, data engineering, and machine learning, delivering scalable and resilient platforms for high-stakes environments. With a strong background in architecting microservices, optimizing large-scale data pipelines, and applying AI algorithms, this professional excels at bridging complex technical domains to solve real-world challenges. Driven by continuous learning and team-building, they fuel innovation in AI and data-driven systems with a focus on scalability and robustness.

Key Roles

  • Led development of a patent-pending global tax jurisdiction system, dramatically enhancing latency and accuracy for tax computations across multiple countries.
  • Built and led engineering teams delivering cost reductions and performance gains through innovative cloud data platform redesigns.
  • Designed distributed data pipelines and microservices enhancing security intelligence processing with fine-grained SLA monitoring.
  • Contributed to automotive simulation tooling by developing reusable frameworks for core GUI engine applications.
  • Published academic work in evolutionary computing and gene regulatory networks, showcasing analytical and algorithmic expertise.

Meet Me

I’m passionate about engineering scalable, data-intensive systems that solve complex problems across distributed environments. With over a decade in software engineering, I focus on impactful machine learning and data solutions, continually honing my skills. Outside of work, I engage with competitive programming and explore innovative algorithms to push computational boundaries.

Personas

Distributed Systems Architect

  • Designed and implemented scalable microservices for global tax jurisdiction resolution, inspiring patent-pending innovations.
  • Developed and optimized big data pipelines and Spark applications dedicated to security intelligence.
  • Led cloud-native data platform replacement efforts that significantly reduced costs and heightened operational efficiency.

Superpowers

Superpowers not available

Sweet Spot

Excelling at designing and delivering scalable data platforms for fintech and cloud applications, this leader uniquely blends deep technical skills with team leadership and process optimization. They thrive guiding organizations through complex machine learning, distributed systems, and data engineering challenges.

Functional Skills

Engineering & Architecture
Microservices & Distributed Systems- Led design and iteration of scalable microservices handling complex financial and security data in high-demand environments.
Data Pipeline & Big Data Processing- Built and optimized Spark-based ETL pipelines and real-time data workflows for security and fraud detection solutions.
Cloud Platform Engineering- Developed cost-effective and reliable cloud-native solutions leveraging serverless and proprietary infrastructures.
Machine Learning & AI
ML Model Productionization- Deployed and maintained machine learning models to detect document fraud and verify authenticity in fintech contexts.
Algorithm Design & Research- Applied academic expertise in evolutionary algorithms to solve complex problems in real-world AI applications.
Embeddings & Vector Search- Certified in advanced AI techniques, extending capabilities for modern search and information retrieval systems.
Leadership & Team Enablement
Team Bootstrapping & Mentorship- Established new engineering teams with agile processes, onboarding, and process improvements to drive productivity.
Technical Writing & Knowledge Sharing- Co-authored technical blog posts and internal documentation promoting engineering transparency and best practices.
Cross-functional Collaboration- Partnered with security, product, and leadership stakeholders to align engineering efforts with business objectives.

User Manual

Engage as a technical leader who values ownership of complex systems through iterative and collaborative problem-solving. Prefers autonomy paired with clear goals and high standards, thriving in environments fostering continuous learning and technical craftsmanship. Early objective alignment and openness to new technologies are appreciated.

Education

  • MicroMasters in Statistics and Data Science from a top-tier U.S. technical institute
  • Master’s degree in Computer Science specializing in Evolutionary Computing from a major European university
  • Bachelor’s degree in Computing from a leading European university

Focus Areas

Distributed SystemsData Engineering & Big DataMachine Learning EngineeringMicroservices ArchitectureSystem Scalability & OptimizationTeam Bootstrapping & LeadershipGeospatial Data Processing

Industries

FintechCloud ComputingE-commerceSecurity IntelligenceAutomotive Technology

Geographical Coverage

EuropeNorth America

Stage

GrowthScale-upEnterprise

Personal Interests

Competitive ProgrammingEvolutionary AlgorithmsContinuous LearningAI & ML Innovations

Certifications

Certification in Embeddings, Vector Search, and Retrieval-Augmented Generation from a major cloud providerAdvanced English proficiency certificationNanodegree in Machine Learning from a recognized online education platformProgramming and functional programming certificates from reputed MOOCsAdvanced cybersecurity and incident handling certification