Make AI
accountable
Agents, streaming drafts, human verification gates, and permission models that give humans real control over automated outputs.
Preparing the work
The decisions, evidence, and interface details are loading now.
I design reporting, data configuration, IT infrastructure workflows, and AI-assisted state machines for complex B2B SaaS platforms.
Read about my 12+ years of experience
For more than 12 years, I have worked on analytics, reporting engines, IT storage infrastructure, and generative AI products. My role spans discovery, interaction design, prototyping, tokenized systems, and cross-functional leadership.
Agents, streaming drafts, human verification gates, and permission models that give humans real control over automated outputs.
Dense data, IT infrastructure constraints, and complex business rules organized into guided, auditable sequences.
Reusable patterns, multi-framework design tokens (Angular, Vue, React), and governance that eliminate redundant effort.

Keeping AI analysis inside the dashboard workflow.

Use one filtering model across reports, dashboards, and roles.

Turn infrastructure setup into a guided sequence of decisions.

Turn channel setup and multi source mapping into one continuous system.

Find the right media through a conversation and inspect the evidence.
Product Motion & Interaction Evidence
Purposeful micro-interactions designed to communicate system state, continuity, hierarchy, and recovery across complex enterprise workflows.
Select an agent to analyze active dashboard metrics:
Summarizes WoW variance, top campaign outliers, and budget efficiency.
Leadership · Design Systems · Craft
Bridging the gap between Senior IC craft and hands-on Design Leadership: establishing tokens, mentoring project teams, raising critique standards, and driving cross-functional alignment.
How I review design deliverables to eliminate edge-case friction before engineering handoff.
Standardizing component models and tokens across legacy and modern frontend codebases.
Guiding project-based design teams and elevating individual designer capability.
Aligning Product, Engineering, and Design through high-ambiguity technical constraints.
Quantified Evidence · Methodological Transparency
Clearly distinguishing measured product outcomes from prototype benchmarks and design targets. Every metric is anchored in verifiable methodology.
| Metric | Evidence Type | Before State | After / Target | Measurement Method & Sample |
|---|---|---|---|---|
| Workflow Page Hops | Measured Shipped Outcome | 4 separate pages & modals | 1 persistent side panel | Workflow click-audit & production telemetry · (TapClicks AI Agents (1,200+ agency users)) |
| Setup Time Reduction | Measured Shipped Outcome | 45 mins manual node provisioning | 18 mins guided installation (~60% faster) | Benchmark usability timing tests · (DataCore Swarm Installation (Enterprise IT Admins)) |
| Task Completion Rate | Measured Shipped Outcome | 68% completion on first run | 93% completion (+25% gain) | Pre/post release task testing · (DataCore enterprise storage administrators) |
| Data Inconsistencies | Measured Shipped Outcome | Frequent missing lineage links | 40% measured reduction in link breaks | Error log telemetry & client audit tickets · (Enquero PowerMe lineage catalog) |
| Configuration Save Gates | Validated Design Target | 3 discrete save checkpoints | 1 continuous save with memory protection | Stakeholder & prototype validation · (TapClicks Unified Data Configuration Concept) |
| Time-to-First-Slide | Prototype Benchmark | Blank screen (96% drop-off) | < 2 minutes with pre-populated demo data | Interactive prototype session recording · (SmartStory Trial Onboarding reference prototype) |
Leadership Endorsements
While I have managed engineering including UI development for quite a while, I had never worked with a "real" UX person until Kowsik and his team joined mine. Over the years that followed, I learned a great deal from him through the thoughtful, holistic approach he brings to understanding a user process and synthesizing it into improvements in our products.
From my first day working with Kowsik, his incredible talent has been evident. Not only has he showed creativity and a willingness to learn about new products, but also a maturity in presenting his ideas, seeking feedback, and working with other UX personnel. He gently helped fill in gaps in my understanding of UX process, and has been a joy to collaborate with.
Kowsik is one designer I never had to follow up with. He always delivered work on or before deadline and never fails to add amazing inputs to the designs. Well aware of iOS and Android, he recommends Do's and Don'ts even at the wireframe level. Brilliant sense of layouts and colors, and very co-operative to work with.
Writings on Medium

Why basic AI color generators fail in high-density SaaS interfaces and how proper semantic token architecture scales across enterprise platforms.

Designing a salary-first reserve model that smooths 12-month cash flow and eliminates surprise annual expense shortfalls.

Why pixel-perfect AI generated mockups crumble under real user interactions, state transitions, and edge-case validation.
Explore More Dimensions
Live digital experiences across healthcare, SaaS, manufacturing, photography, fintech, and education.
View Production SitesBrand strategy, visual mark systems, responsive logo variants, and real touchpoint applications.
Explore Brand WorkBackground spanning B.E. in IT, design systems governance, enterprise complexity, and leadership endorsements.
Read Experience & EndorsementsNotes and published articles on trustworthy AI state models, enterprise permissions, and interaction design.
Read Writings & NotesFeatured identity · VisionXEdu
Learning that meets every student where they are.Explore brand work