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Andrejs Cerkas

@andrejscerkas

Technical Business Analyst specializing in AI & DeepTech—turning complex engineering needs into scalable B2B product roadmaps.

Latvia
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What I'm looking for

I’m looking for a role where I can bridge engineering and enterprise stakeholders—own AI/DeepTech requirements, craft scalable product roadmaps, and drive GTM results for B2B ROI.

I’m a Technical Business Analyst with a Computer Science background, specializing in AI and Enterprise DeepTech solutions across IoT, RTLS, and Cybersecurity. I focus on understanding sophisticated engineering frameworks and translating enterprise requirements into clear, measurable product outcomes.

In my most recent role, I ran in-depth technical interviews with enterprise CTOs/CISOs to convert infrastructure gaps into quantitative IoT and cybersecurity product requirements. I also owned data-based Go-To-Market campaigns, using HubSpot analytics to validate product-market fit and drive +200% Enterprise MQLs over 6 months.

Previously, as a Product Owner (AI Solutions), I led an end-to-end construct-from-MVP-to-launch process for an AI powered Call Center product. I defined DeepTech specifications by converting unclear stakeholder inputs into DSF forms and Jira user stories for ML engineering, and I reduced delivery timelines by ~20% by resolving Python/Linux infrastructure blockers during backlog refinement.

Experience

Work history, roles, and key accomplishments

SI

Technical Business Analyst

Skaidras Debesis Industry

Nov 2025 - May 2026 (6 months)

Conducted enterprise CTO/CISO technical interviews to translate IoT and cybersecurity infrastructure gaps into quantified product requirements. Led data-driven go-to-market campaigns using HubSpot analytics, increasing enterprise MQLs by 200% over 6 months, and produced prioritized roadmaps and technical specs for RTLS/network security development teams.

OP

Product Owner (AI Solutions)

Optumplus

Aug 2024 - Nov 2025 (1 year 3 months)

Owned the AI product lifecycle for a call center solution, defining conversational NLP flows and system architecture aligned to enterprise business objectives. Authored DSF Jira user stories for ML engineering and improved sprint delivery velocity by ~20% by resolving Python/Linux infrastructure blockers during backlog refinement.

Education

Degrees, certifications, and relevant coursework

RC

Riga Technical College

Computer Science & Programming

2020 - 2024

Studied Computer Science & Programming at Riga Technical College from 2020 to 2024.

Tech stack

Software and tools used professionally

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