AI UX Designer focused on Fintech & Risk Systems | Designed UPI Fraud Prevention Flows | Figma | UX Research | Interaction Design









PGCM-Digital Marketing
Symbiosis Centre for Distance Learning

Bachelor of business a, Marketing and Finance
Saurashtra University, Rajkot
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Download Tal BossAI UX Designer focused on Fintech & Risk Systems | Designed UPI Fraud Prevention Flows | Figma | UX Research | Interaction Design
I design digital experiences for high-risk financial environments where user decisions directly impact trust, safety, and money. My current focus is on fintech UX and AI-assisted decision systems — specifically how product design can reduce fraud, prevent harmful financial behavior, and improve decision quality without creating unnecessary friction. Recent projects include: • A UPI fraud prevention experience designed to detect and interrupt high-risk transactions using contextual intervention flows • An AI-powered financial assistant concept that helps users avoid impulsive or risky spending decisions through behavioral nudges and explainable AI interactions My work combines: • UX research and behavioral thinking • Interaction design for critical user flows • System-level product thinking • AI-assisted user guidance models I’m actively building toward roles in: • AI UX Design • Fintech Product Design • Risk & Trust Experience Design Portfolio: https://lekhamerdesign.netlify.app/
Greater Bengaluru Area
claude code
gemini
lovable
openai
ChatGPT
Figma Make
Product Designer (Independent Project) at Self-Initiated Projects, Jun 2026 - Present · 5 mos, Designing an AI-powered loan underwriting copilot that helps loan officers assess applications faster through AI-driven risk assessment, document intelligence, explainable recommendations, and audit-ready decision reporting. Responsibilities include: • User research and workflow analysis • Loan underwriting journey mapping • AI-assisted risk assessment UX design • Information architecture and user flows • Wireframing and high-fidelity UI design in Figma • Human-in-the-loop decision-making design • Explainable AI and compliance-focused experiences
AI UX Designer at Independent Project, Apr 2026 - May 2026 · 2 mos, Designed an AI-assisted financial guidance system that helps users make safer spending decisions through predictive insights and behavioral interventions. • Created AI-driven spending risk alerts based on user behavior patterns • Designed explainable AI interfaces to improve transparency and trust • Built decision-assist flows for impulsive spending scenarios • Designed behavioral nudges and predictive budgeting interactions • Focused on balancing automation with user control Focus Areas: AI UX • Behavioral Finance • Decision Systems • Fintech Product Design
UX Designer at Self-Initiated UX Case Study, Jan 2026 - Mar 2026 · 3 mos, Designed a risk-aware fintech experience focused on reducing fraudulent UPI transactions and preventing impulsive financial actions. • Created transaction risk classification flows for low, medium, and high-risk payments • Designed contextual warning interfaces for suspicious transactions • Built verification and recovery flows to improve user trust • Developed edge-case interactions for false positives and overrides • Designed end-to-end user flows and wireframes in Figma Focus Areas: Fintech UX • Risk Systems • Behavioral Design • Trust Experience
PGCM-Digital Marketing, Symbiosis Centre for Distance Learning
Bachelor of business a, Marketing and Finance, Saurashtra University, Rajkot
lekhamerdesign.netlify.app: https://lekhamerdesign.netlify.app/