Iryna Bykova

Own product and build the production front-ends for Context Labs' industrial AI products; work across the stack with product and R&D teams; partner daily with the Data Science directors, data engineers and domain experts.

• Designed and built the front-ends of three products in production in 2026 Distillery Studio (refinery OGMP 2.0 methane reporting with Reporter, Profiler and Distiller agents), KEW (asset knowledge-graph workbench) and DaaS (ammonia-plant emissions on a geospatial map)
• Shipped 5 AI products and influenced $85M in pipeline Context AI cut energy-client prep from 2+ hours to 5 minutes; OpenEPA opened 15 years of public EPA emissions data (2,800+ facilities) with cited, verifiable answers
• Architected AI data processing on a knowledge graph (ArcadeDB) Ingestion, ontology mapping, and provenance, turning raw industrial and emissions data into sub-second, cited queries
• Built an agentic, privacy-preserving Data Profiler A 7-stage DSPy pipeline that auto-generates data contracts and Python/Scala validation and sends synthetic samples only, never real data
• Orchestrated models across providers Azure, OpenAI, Anthropic, and self-hosted Ollama via LiteLLM; owned retrieval, grounding, and evaluation, and drove AI adoption with an internal framework (~22k lines) while experimenting across Claude, Codex, and self-hosted Azure
• Built the production front-ends myself in Vue and Nuxt The Calculation Editor (versioned engine, visual lineage) and a browser-based Ontology Editor (four formats, client-side)
• Reduced time-to-market ~75% by aligning on MVP scope A shared definition of "good enough" across engineering, design, and stakeholders, with validated, iterative releases

• Turned 100% missed deadlines into 12+ months on-time delivery On a client platform reporting $494M revenue; replaced ad-hoc work with a predictable release cadence and clear ownership, taking escalations from weekly to zero
• Cut engineering rework 60% By shifting from spec handoff to prototype-led collaboration; built the first design system across Context Labs platforms and secured a multi-year contract renewal

• Owned the roadmap across eight initiatives Hierarchy, lifecycle campaigns, a new SaaS model, AI features, ads, and connectivity, aligning marketing, sales, and engineering around shared outcomes
• Drove growth through research and experimentation Established a user-research and A/B-testing cadence to lift conversion, and mentored the team on prioritization and product thinking

• Built the design system from zero Component library, visual standards, and reusable patterns enabling scalable product development across the platform
• Embedded with engineering and Customer Success Prioritized features from real user pain points and provided real-time design and technical direction

• Led design for a mission-critical payments platform 1B+ transactions, 27 countries, and 2,000+ enterprise clients under strict regulatory compliance, with zero design-related security incidents
• Built and led the design team Established processes for predictable delivery and aligned interfaces with compliance and audit requirements across jurisdictions

• Designed compliant payment interfaces Transaction, reporting, and admin workflows with consistent patterns that reduced training time for enterprise clients