ABOUT
I scale AI design organizations and build evaluation frameworks that make AI feel trustworthy, explainable, and human.
I'm Aswathy , a UX design leader who pairs systems-level strategy with a designer's obsession for the human detail, built around the hardest problem in AI: getting people to trust it. For 15 years I've led enterprise and industrial AI design at Siemens Technology — the high-stakes systems where adoption hinges on trust, not features.
I built Siemens' AI UX practice from the ground up, scaling the team and setting the culture and quality bar behind it. And I made AI quality measurable — creating a evaluation methodology now used as a shared standard across Siemens business units. Across all of it, I'm the connective tissue between a strategy and the pixels on the screen, building the frameworks, teams, and metrics that turn powerful models into tools people rely on every day. Today, I keep pushing the edge of AI experience — prototyping with AI itself and bringing new ideas to life in code.
EXPERIENCE
Siemens Technology and Services
Lead UX Designer / Strategist
2020 — PRESENT
Leading the design evaluation framework for autonomous mobile robots and human-robot interaction systems. Scaling design operations across global engineering teams to ensure explainability in generative AI applications.
Cognizant Technology Solutions
UX Design Analyst
2012 — 2015
Orchestrated end-to-end design journeys for fintech and e-commerce giants. Transformed complex business requirements into high-fidelity interaction models that increased conversion rates and user retention.
EY — Ernst & Young
UX Designer
2010 — 2012
Specialized in predictive analysis and risk management platform design. Built unified information architectures for enterprise-scale auditing tools used by Fortune 500 clients globally.
N'celadus Infotek Pvt Ltd
IT Business Analyst
2008 — 2010
At N'celadus Infotek Private Limited, I played a pivotal role in bridging the gap between IT and business needs. My responsibilities included conducting comprehensive assessments of business problems and facilitating requirement documentation to ensure stakeholder alignment. I developed business cases and user models that enhanced project strategy, while also creating visual tools like workflows and UML diagrams to clarify project objectives.
EDUCATION
MBA
Master of Business Administration (MBA)
Information Systems
BTech
Bachelor of Technology (BTech)
Computer Science & Engineering
Tools
Figma
Sketch
Adobe XD
Framer
Miro
FigJam
Maze
UserTesting
Hotjar
Google Analytics
Mixpanel
Claude Code
Notebook LLM
Jupyter
Lovable
I keep Exploring
2026 · Artificial intelligence
Certified AI Consultant CAIC™ - USAII
Expertise in user-centric research, interface design principles, and usability testing methodologies.
2014 · UX
Certified Usability Analyst CUA™ -
HFI
Novel framework for dynamic interface adaptation based on real-time generative AI outputs.
2012 - ux
Adobe Certified Associate ACA™ -
Adobe
Advanced training in design strategy, team scaling, and operationalizing design within enterprises.
.png)
2015 - UX
Design Thinking - NovoEd
Aligning business goals with user needs to create sustainable value through digital products.
CERTIFICATIONS & CREDENTIALS
CLIENTS I HAVE WORKED WITH
.png)
.png)
.png)
.png)
What I Do
Problems I solve
01
Problem
Design is treated as an execution arm, disconnected from strategy.
Solution
Aligning UX strategy with business reality.
I translate usability into the language of the business. That means framing UX decisions in terms of risk, revenue, and operational impact—so design has a seat at the table, not just in the sprint.
02
Problem
AI products automate before they earn trust — and adoption stalls.
Solution
Designing AI that earns trust.
Adoption of a probabilistic system is a trust problem, not a feature problem. I design flows, explanations, and guardrails that help engineers understand what the AI is doing, why, and how to course-correct.
03
Problem
Experience fragments across complex, architectural platforms.
Solution
Systems thinking at platform scale.
I simplify architectural ambiguity. With 15 years in industrial software, I map journeys across tools, roles, and touchpoints—so the platform feels like one product, not ten stitched together.
04
Problem
Whether the AI actually works for users stays invisible.
Solution
Making AI quality measurable.
Most teams can't tell you whether their AI experience is ‘good’ beyond anecdotal feedback. I build evaluation frameworks and UX metrics that make AI quality visible, trackable, and improvable.
05
Problem
Teams misalign, quality erodes, and momentum stalls.
Solution
Building design cultures that scale.
I'm the connective tissue between a VP's strategy and a designer's Figma file. I set up rituals, artifacts, and decision frameworks that keep teams aligned as they scale AI work.