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Career Profile

Technology & Engineering Leader

12+ Years Experience
IoT • Applied AI/ML
Multi-Team Leadership

Technology & Engineering Leader with 12+ years of experience across IoT, applied AI/ML, secure on-prem/cloud platforms, and multi-team engineering leadership.

Proven expertise blending embedded and sensing fundamentals with real-world IoT deployments and hands-on leadership of cross-functional engineering teams delivering automation and data systems in regulated and operationally critical environments.

Early career as Project Lead/Principal Investigator for a multi-year, multi-million applied R&D program in MEMS/accelerometer-based sensing and navigation systems — grounding a deep, systems-level understanding of IoT, sensing, and high-reliability architectures.

Experience

Founder & Technology Lead

Independent / Consulting · Berlin

  • Lead technology strategy, platform engineering, and AI/ML adoption for clients operating in regulated, privacy-sensitive environments.
  • Built secure on-prem AI and automation platforms using Talos/NixOS clusters, GPUs, encrypted mesh networking, and event-driven workflows.
  • Delivered private inference and document automation systems with classification, routing, extraction, and workflow orchestration.
  • Defined technology roadmaps, governance models, delivery cadences, and SLO/SLI frameworks tied to business KPIs.
  • Constructed data ingestion and processing pipelines with schema validation, routing, and ML enrichment.
  • Ran discovery, scoping, financial modeling, and de-risking spikes for new AI/ML-driven products.

Engineering Manager & Designate Director of QA

Homeday GmbH · Berlin

Cross-Functional Team Leadership

  • Led two cross-functional engineering teams (5–8 engineers each); owned hiring, performance, coaching, and team health.
  • Partnered with product/design leadership to drive outcome-focused roadmaps and remove structural bottlenecks.
  • Raised engineering maturity: CI/CD improvements, observability rollout, test strategy enhancements, incident/on-call playbooks.
  • Known internally as a neutral, effective conflict-resolution point across engineering, product, and operations.

Director-Track QA Organization Build (0→1)

  • Designed the charter, org structure, hiring plan, competency framework, and operating cadence for the new QA department.
  • Hired initial senior QA engineers and established interview loops, onboarding paths, and quality KPIs.
  • Built foundational test strategy, governance model, and tooling direction.
  • Rollout halted due to a company-wide financial freeze, but foundational processes were adopted by multiple teams.

Lead Fullstack Engineer

GetSafe GmbH · Heidelberg

  • Modernized service boundaries and deployment processes.
  • Drove early DevOps adoption and delivery stabilization.

Chief Technology Officer (CTO)

Mind Intelligence UG (EXIST Startup) · Berlin

  • Led vision and roadmap for an applied AI/ML platform.
  • Built the initial team, shaped product strategy, and established R&D practices.

Software Engineer (Ruby on Rails)

Distribusion Technologies GmbH · Berlin

  • Delivered backend features, improved reliability, and established engineering norms (CI, monitoring, code reviews).

Software Engineer (Ruby on Rails)

Sirena-Bus · Moscow

  • Delivered backend features, improved reliability, and established engineering norms (CI, monitoring, code reviews).

Research Associate / Project Lead – Embedded & Navigation Systems

National Research University of Electronic Technology (MIET) · Moscow

  • Principal investigator for a major applied R&D project focusing on MEMS/accelerometer-based sensing and embedded navigation systems.
  • Led a cross-disciplinary team of engineers and scientists through prototyping, testing, performance validation, and integration.
  • Primary interface to external funding bodies; responsible for reporting, milestone alignment, and deliverable acceptance.
  • Oversaw technical scope, risk, and financial reconciliation with internal accounting/compliance units.
  • Delivered validated prototypes, reliability analyses, and formal documentation under strict performance criteria.

Education

MSc in Computer Science

Glyndwr University

MSc in Electrical Engineering

National Research University of Electronic Technology

Interpreter in Professional Communication (English)

National Research University of Electronic Technology

BSc in Electrical Engineering

National Research University of Electronic Technology

Projects

Secure On-Prem AI/Automation Platform (2023–2024)

Designed and delivered a private, air-gapped automation platform on Talos/NixOS clusters with GPU acceleration. Implemented document extraction, classification, routing, and event-driven workflows for regulated clients.

Private Data & Event Pipeline Architecture (2022–2024)

Created structured ingestion and processing pipelines with schema validation, routing, and ML-based enrichment. Formed the backbone for multiple automation and analytics workflows.

0→1 QA & Engineering Excellence Framework (2021–2022)

Defined a unified quality and delivery framework for two engineering teams. Established test strategy, quality metrics, and processes intended for a new QA department.

Smart Building Automation (Hotel & Office Installations)

Installed and configured smart-building systems (lighting, HVAC, sensors, controllers). Managed commissioning, device provisioning, multi-vendor integration, and troubleshooting in live environments.

Wearable Device Prototyping

Contributed to developing a wearable device through embedded prototyping, sensor evaluation, BLE communication testing, and usability assessment under tight hardware constraints.

Embedded Navigation & Sensing R&D (2012–2014)

Delivered multi-year applied research on MEMS/accelerometer-based sensing and embedded navigation systems, including prototyping, testing, performance characterization, and external reporting.

Skills

IoT & Sensing Systems

  • Smart building automation
  • Wearables
  • Sensor pipelines
  • Embedded fundamentals
  • Time-series thinking
  • High-reliability architectures

AI/ML & Data

  • Applied ML
  • Document automation
  • On-prem inference
  • Data quality and pipelines
  • Classification & anomaly detection

Leadership & Execution

  • Multi-team leadership
  • Org design
  • 0→1 department building
  • Performance management
  • Conflict resolution
  • Stakeholder alignment

Platform & Cloud Engineering

  • Kubernetes (K3s, Talos, NixOS)
  • CI/CD
  • Observability
  • Terraform
  • Distributed systems
  • Secure mesh networking

Business & Strategy

  • Technology strategy
  • Vendor/partner management
  • Productization of capabilities
  • Client-facing delivery
  • Governance & risk

Technical Skills

  • Languages: Go, Python, TypeScript
  • Data & ML: Postgres, Redis, Kafka, Time-series approaches, ML integration
  • Platforms: Kubernetes (K3s, Talos, NixOS), Docker, Terraform
  • Cloud: AWS, GCP, Azure
  • Other: CI/CD, Observability, Security baselines, Architecture reviews, Embedded/edge fundamentals