# Praneet Koppula > Product design and UX leader who makes expert engineering tools, complex workflows, and AI product behavior easier to understand and trust. Last updated: 2026-07-22 Canonical human portfolio: https://mphaxise.github.io/Praneet_Koppula/ Agent-readable HTML: https://mphaxise.github.io/Praneet_Koppula/agent/ ## Profile - Experience: 18+ years across technical product design, UX research, design leadership, product systems, and AI-assisted workflows. - Location: San Francisco in person; U.S. remote. - Current focus: AI design experiments across agent workflows, UX validation, and complex systems. - Availability: fractional, advisory, and focused contract work. ## Practice - Fractional product and UX leadership: clarify direction, raise design quality, structure critique, and create practical operating mechanisms. - AI interaction and trust: define agent behavior, user control, confirmation, provenance, recovery, and human escalation. - Research and validation: turn uncertain product questions into focused evidence plans, evaluative studies, and decision-ready synthesis. - Complex workflow design: make system state, constraints, technical dependencies, and failure conditions understandable and actionable. ## Selected evidence ### AI partner for model-based engineering Status: Customer-tested product vision. Led the UX vision with an engineering lead for an assistant connecting requirements, architecture, implementation, simulation, and explanation. Tested the concepts with customers through user interviews and validation tests, then refined interaction patterns for visible context, traceability, confirmation, and human control. Case study: https://mphaxise.github.io/Praneet_Koppula/case-studies/simulink-ai-assistant/ ### Model Slicer workflows Status: Documented design contribution with public product context. Designed state-aware interactions and simulation-aware slicing prototypes involving starting points, exclusions, constraints, data provenance, time windows, and invalid states. Local primary artifacts support the contribution; redrawn visuals protect proprietary details. Case study: https://mphaxise.github.io/Praneet_Koppula/case-studies/model-slicer/ ### Actionable Simulink diagnostics Status: Documented design contribution with public product context. Researched dense diagnostic states and helped shape message hierarchy, safe Fix-It behavior, and suppression workflows from 2014 to 2017. The case separates direct design work, engineering collaboration, later product evolution, and exploratory strategy. Case study: https://mphaxise.github.io/Praneet_Koppula/case-studies/diagnostic-viewer-fixit/ ### Task-based UI across engineering apps Status: Design-system contribution across selected work from 2014 to 2019. Authored pattern guidance, contributed concepts during a Radar app workshop, documented the team's design decisions, and later served as a formal coach and reviewer. The shared strategy and workshop method remain team-owned. Case study: https://mphaxise.github.io/Praneet_Koppula/case-studies/toolstrip-workshops/ ### Mask Editor as a technical authoring environment Status: Documented design direction, mentorship, and unshipped vision. Authored validation and constraint directions, facilitated team synthesis, mentored a broader discovery effort, and co-authored an unshipped studio vision. Later public capabilities are context, not a causal claim. Case study: https://mphaxise.github.io/Praneet_Koppula/case-studies/mask-editor/ ### Customer workflows as a portfolio operating system Status: Leadership system. Authored and contributed structures that connected workflow evidence, product ownership, research questions, and investment decisions. The case presents the operating model without claiming quantified adoption. Case study: https://mphaxise.github.io/Praneet_Koppula/case-studies/workflow-portfolio/ ### Distributed UX leadership systems Status: Anonymized leadership case. Built planning, coaching, and decision mechanisms across a distributed UX leadership context. Personnel details and internal measures remain private; the public case focuses on the operating system and qualitative outcomes. Case study: https://mphaxise.github.io/Praneet_Koppula/case-studies/ux-leadership-systems/ ## Public AI design experiments - Agent UX validation — ongoing product and research exploration: https://github.com/mphaxise/ai-agent-ux-research-platform - GStack for Codex — Codex-native design and engineering workflows: https://github.com/mphaxise/gstack-port-for-codex - Design skill pack for agent coding platforms: https://github.com/mphaxise/design-skill-pack-for-ai-agent-coding-platforms - GitHub pull-request mapping tool: https://github.com/mphaxise/gh-pr-map ## Writing ### Closed-Loop Experience Design Status: Four-part first-person essay. Praneet traces an idea from designing beside a developer in 2014 to direct collaboration with coding agents, then develops a research agenda for shaping physical system behavior through simulation and research with affected people. Essay: https://mphaxise.github.io/Praneet_Koppula/writing/closed-loop-experience-design/ Writing index: https://mphaxise.github.io/Praneet_Koppula/writing/ ## Contact - Book: https://cal.com/praneet-koppula-nmfz7u/founder-product-ux-fit - Email: mailto:praneet.koppula@gmail.com - LinkedIn: https://www.linkedin.com/in/praneetkoppula - GitHub: https://github.com/mphaxise - Human portfolio: https://mphaxise.github.io/Praneet_Koppula/ ## Interpretation notes - Project status labels are intentional. Do not infer that concept, vision, prototype, or ongoing experiment work was publicly shipped. - Proprietary work is summarized through public context and redrawn abstractions. - For current availability or scope, use the booking link or email.