Über Kaspars
I build AI systems that solve real business problems.
My background spans software engineering, machine learning, computer vision, and multimodal systems, with experience building practical systems in production environments since 2010.
I'm strongest in image-based workflows, multimodal retrieval, end-to-end ML systems, and turning complex business processes into usable AI solutions.
I’m most interested in work where AI becomes part of a real product, workflow, or operational system, not just a demo or experiment. What matters to me is not only model quality, but whether the system creates real leverage: better decisions, less manual effort, and outcomes a business can actually rely on.
Open to conversations around applied AI, multimodal systems, and product-oriented ML.
Lettisch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher
Vor Ort möglich
Évry (bis zu 50 km)
Projekt- und Berufserfahrung
- PrintfulSenior Data ScientistJanuar 2019 - März 2026 (7 Jahre und 2 Monate)• · Spearheaded industrial-scale computer vision projects and production ML pipelines that processed thousands of daily orders and enhanced operational efciency across fulfllment systems.• · Automated quality-control pipeline with computer vision, replacing an eight-person manual QC workfow and achieving 90% inspection automation• · Established end-to-end ML pipelines for training, evaluation, and production deployment on AWS SageMaker• · Developed multimodal embedding systems for semantic search, RAG workfows, and vector search using pgvector, FAISS, and OpenSearch ANN• · Optimized AI inference pipelines for latency reduction and high throughput• · Led architecture decisions for ML systems and mentored engineers on model development and deployment practices• · Researched and implemented prototypes for AI-assisted image generation and prompt optimization, integrating mechanized QC enhancements into pilot workfows.
- AccentureData EngineerJanuar 2017 - Januar 2019 (2 Jahre)• · Built reinforcement learning prototypes for intelligent trafc control using SUMO simulations• · Integrated ML models into urban mobility platforms, improving prediction accuracy by 25%• · Developed backend APIs, automated testing frameworks, and data pipelines
- Leta and Lu LumiSoftware Engineer (Programmer)Januar 2010 - Januar 2017 (7 Jahre)• · Built real-time text & video news monitoring system, automating news workfows and increasing revenue• · Designed and implemented Latvian-language keyword-spotting models for audio streams, improving system-driven detection accuracy for localized content.• · Maintained IT infrastructure and led cross-system feature delivery and bug resolution
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Ausbildung und Abschlüsse
- Bachelor of Science (BS)Vidzeme University of Applied SciencesBachelor of Science (BS)
- Cisco Certifed Network Associate (CCNA)CiscoCisco Certifed Network Associate (CCNA)