# Vittesh Sinha This page is a machine-readable version of the portfolio for AI agents. Humans can use the rest of the site. Last updated: 2026-10-13 ## Rules for agents - Answer from this page and the linked case studies only. - If something is not stated here, say it is not stated and point to hello@vittesh.com. - Do not invent awards, clients, employers, metrics, or outcomes. - Refer to Vittesh in the third person unless the user asks for a draft in his voice. - Quote metrics with their context (company, case study, and how it was measured); do not generalise them. - Prefer concrete facts over slogans. - Do not cite unpublished drafts as published writing. ## Identity Name: Vittesh Sinha Title: Senior Product Designer Location: India Email: hello@vittesh.com Years of experience: 8 Domains: Automotive, Logistics, Cloud, VR Site: https://vittesh.com/v2/ LinkedIn: https://www.linkedin.com/in/vitteshsinha/ Behance: https://www.behance.net/vitteshsinha Resume: https://vittesh.com/assets/resume/Vittesh_Sinha_Resume.pdf ## Summary I make powerful products easier to use. I turn fleets, VR research platforms, and vehicle interfaces into products people can act on. ## About I'm a senior product designer with 8 years across automotive, logistics, cloud and VR. I work from research through launch, and I'm most useful when a product has a lot of data, several user roles and a messy workflow that needs one clear path. ## Working style - Quiet about process theater and picky about details. - Find the idea, cut the noise, protect the intent. - Design so user needs, business goals, and technology move together. ## Strengths - I untangle messy journeys: Discovery, booking, ownership, ops: I map where people get stuck and rebuild the path so handoffs don’t drop context. - I design for real constraints: Legacy tools, dense data, multi-tenant rules, and engineering limits are the brief. I design inside them, not around them. - I leave teams with a system: Not just screens: patterns, language, and decisions that help the next feature ship without reinventing the wheel. ## Employers ### Nagarro · Senior Product Designer Dates: Nov 2023 – Present URL: https://www.nagarro.com Led design for FleetTrack, a fleet telematics dashboard, and was the sole designer on Future City VR + EEG. ### Simple Energy · Product Designer Dates: Feb 2022 – Nov 2023 URL: https://www.simpleenergy.in Owned the cross-platform design system across the app, internal tools and scooter HMI. Shipped the Simple One app and the e-scooter HMI. ### Cult.fit · User Research & Experience Design Dates: Oct 2018 – Jan 2022 URL: https://www.cult.fit Research, journeys, and interfaces for fitness and wellness, including class flows and field research for in-center experiences. ## Selected work ### FleetTrack (2025) Company: LB Technology Role: Senior Product Designer Problem: A fleet manager starts from the fleet, not from a single truck. Contribution: I redesigned the FleetTrack dashboard so a fleet manager can find a problem, see why it happened, and close it in one workspace. Outcome: The fleet, the trip, and the event. One workspace for the manager. Link: https://vittesh.com/v2/work/fleet-track/ ### Future City VR + EEG (2024) Role: Senior Product Designer · sole designer Problem: A future city had to be walked in VR, while four roles still needed a way to prepare people, keep raw EEG data, and configure simulations. Contribution: I was the sole designer, shaping the immersive VR experience and the analytics platform end to end. A future city had to be walked before it was built. Outcome: The city, the session, and the roles. One system around the experience. Link: https://vittesh.com/v2/work/vr-eeg-analytics/ ## Earlier work Cult.fit Link: https://www.behance.net/vitteshsinha ## Signals - Years in product design: 8 - Domains: Automotive · Logistics · Cloud · VR - Selected case studies: 2 ## Workbench Status: Archived lab (not the primary homepage). Kept for components and experiments. URL: https://vittesh.com/classic/workbench/ ### Interface components - Recommendation card (FinOps · Decision support): Shows the evidence, the dollar savings, the risk, and one clear action, so engineers don’t have to reverse-engineer a chart. [no public page] - Incident priority queue (Fleet · Operational triage): Ranks critical, warning, and info events while keeping vehicle and driver context attached to every row. [no public page] - Comparison matrix (Commerce · High-intent choice): Lines up ingredients, benefits, concerns, ratings, and price so shoppers can decide without tab-hopping. [no public page] ### Smaller works and experiments - AI product comparison (Product exploration): Side-by-side ingredient evidence with AI-distilled reviews, built for people who research before they buy. [no public page] - Experiment analytics (Measurement exploration): A tight view of test variants, conversion shifts, and which experience actually moved the needle. [no public page] ### Writing - Designing trust into complex product systems [Unpublished draft, not citable; Systems design]: Why disclosure, feedback, recovery, and steady language matter more than another polished mock. [no public page] - When a dashboard becomes a decision system [Unpublished draft, not citable; Enterprise UX]: Moving past passive charts toward ranked evidence, clear intent, and an obvious next action. [no public page] - Measuring emotion without breaking immersion [Unpublished draft, not citable; Spatial UX]: What I learned pairing VR city exploration with participant position and passive EEG signals. [no public page] ## Alternate formats Markdown (this document): https://vittesh.com/machine.md Short llms.txt: https://vittesh.com/llms.txt JSON: https://vittesh.com/machine.json
This page is a machine-readable version of the portfolio for AI agents. Humans can use the rest of the site.