4.5+ years • Fintech • SaaS • AI workflows

Turning complex workflows into clear, actionable products.

Simplifying complex fintech workflows into structured, high-impact systems.

Deal Room setup flow — company context, roles, and deal room structure
Deal Room dashboard overview with company summary and deal activity
+32% Deal creation from company profiles
Deal Room Structured execution system
KYC Onboarding
Payment UX
Trust Signals
Information Architecture
User Research
System Design
Complex Flows
Fintech · B2C
KYC Onboarding
Payment UX
Trust Signals
Information Architecture
User Research
System Design
Complex Flows
Fintech · B2C

Three projects.
Clear problems. Measurable outcomes.

AI-first B2B SaaS work—complex workflows, broken search, and decisions that need measurable proof.

01
Deal Room B2B SaaS

Deal Room — structured deal execution

Transforming fragmented deal workflows into a structured execution system

Deal work was split across surfaces. We anchored creation on the company profile—where intent already lives.

+32%
Deal creation adoption
Entry-point redesign lifted deal room creation from profiles.
−27%
Discovery-to-action friction
Structured flow with less drop-off and fewer dead ends.
Read the case study →
Company Profile
Target: Series A · Fintech
Investors Following: 12
Create Deal Room
Deal Room Status
Setup Complete
2
NDA Gate Active
Investor Commitments
02
AI Search B2B SaaS

Contextual chat assistant for faster investor company discovery

Investors jumped across filters and pages to evaluate companies. Search took 3–4 minutes; confidence dropped without context.

<30s
Search completion time
Cut from 3–4 minutes with OpenAI + vector search
+25%
User engagement
Deeper exploration in company discovery workflows
Read the case study →
Systematic Agent chat interface with investor discovery prompts
03
FoodTech Mobile UX

Redesigning EasyEat customization flow for faster and clearer ordering

Multiple popups and unclear min/max rules blocked ordering. We cut taps and made required choices obvious.

+8.3%
QR adoption in 3 weeks
QR adoption improved after customization UX redesign.
Fewer Taps
Higher completion clarity
Single-screen flow with clearer required-selection guidance.
Read the case study →
EasyEat customization case preview — order customization for easyeat.ai user side
Gaurav Avinash portrait
4.5+
Years in Product Design
3
Core Roles
0→1
AI Product Builds

I design by shipping
AI products in
ambiguous systems.

Product Designer II at Systematic—remote with a New York team on AI B2B SaaS. I focus on Human-AI interaction and turning high-friction flows into clear decisions.

I led contextual AI search and AI-assisted profile creation—query states, progressive disclosure, and failure paths for uncertain model responses.

Before Systematic: Easy Eat (multi-country launches) and LA FUORI (B2B web and campaigns). I work best with product, engineering, and business in one loop.

Working with
Figma Adobe XD Miro Notion Framer Cursor AI ChatGPT Copilot Claude Code Photoshop Illustrator

How I make decisions
in AI product design.

From shipping AI workflows where trust, model uncertainty, and business speed must align.

01

"AI should reduce effort, not remove user agency."

Hybrid flows let users accept, edit, or override AI. Autocomplete without control fails in high-stakes work.

02

"Good UX is usually about sequencing information."

Drop-offs follow uncertainty. I sequence context, confidence cues, and actions so decisions feel informed.

03

"Ambiguity gets resolved through states, not screens."

Query states, empty states, and recovery paths come first. Failed model responses still need a clear next action.

04

"I push back when decisions are assumption-led."

I turn assumptions into testable bets. Early evidence prevents costly post-launch redesigns.

05

"Metrics and behavior both matter."

Metrics show where to look; user conversations show what to fix.

06

"Cross-functional clarity beats isolated design polish."

I align with PMs and engineers so design reflects constraints and priorities—not slide-deck ideals.

Case Studies

Shipped AI workflows.
What changed and why.

AI Search · B2B SaaS

Contextual chat assistant for faster investor company discovery

Conversational company discovery with OpenAI and vector search—replacing fragmented search with natural language.

Systematic · 2022–Present Product Designer II Remote · New York team
AI Builder · Founder Workflows

AI-assisted company profile creation with hybrid editing controls

AI profile builder with manual override and smart defaults—higher completion and quality for fundraising teams.

+40% completion rate −30% onboarding abandonment 3× investor engagement
Deal Room · System Design

Deal Room — structured deal execution

Anchored deal creation to company profiles. Turned fragmented intent into guided commitment paths.

Entry-point redesign B2B fintech workflow Adoption-focused system UX
Mobile Transformation

From fragmented screens to seamless action-driven mobile UX

Flow-first mobile redesign—less backtracking, clearer actions, faster intent-to-completion.

Task-first architecture Flow restructuring Mobile product redesign
FoodTech · Mobile UX

Redesigning EasyEat customization flow for faster and clearer ordering

Cut taps and popup overload in variant selection. Made min/max rules and required choices obvious.

+8.3% QR adoption (3 weeks) Fewer taps Higher completion clarity
Skills & Learning

Capabilities I use across product, AI, and execution.

Design practice, research depth, and tooling from recent roles.

Design Practice

UX strategy, user flows, concept sketches, experience mapping, prototypes

I turn ambiguous problems into clear interaction models and measurable decisions.

Core capability
AI Design

Prompt design, AI prototyping, Human-AI experience design

Model-assisted workflows that keep users in control and speed decisions.

Production focus
Research

User interviews, usability testing, affinity mapping, IA

Qualitative insight plus metrics to validate assumptions and prioritize roadmap.

Applied across roles
Tools

Figma, Adobe XD, Photoshop, Illustrator, InDesign, Framer, Miro

Wireframing, visual design, prototyping, and design communication.

Daily workflow
Product Collaboration

Notion, Slack, Asana, cross-functional delivery

Close work with PMs, engineers, and stakeholders from scoping through launch.

Execution layer
Learning

GenAI for UX Designers (Coursera), Vibe Coding (Scrimba)

AI-native workflows with Cursor, Copilot, and Claude Code for faster prototyping.

Ongoing upskilling

Let's talk about
AI products worth building.

Open to Product Designer roles in B2B SaaS. I solve complex workflows where clarity and measurable outcomes both matter.