01
Rapid prototypes & MVPs
I validate product ideas early with clickable prototypes and lean MVPs — so teams debate evidence, not opinions.
Workflows · Scale · Product craft · New Delhi, India
Hi I'm Maurish Kaushik.
I scale, refine, and build workflows that turn messy systems into clear, shippable product outcomes.
Product @ SaaS Labs · Built @ TryKiya.
Approach
How I scale, refine, and build workflows
I take messy processes and turn them into clearer systems — prototyping fast, refining what works, and shipping workflows teams can actually run on.
02
Vibe coding with AI
I use Claude and modern AI coding workflows to spin up working prototypes quickly, pressure-test UX, and brief engineering with something real.
03
Refine AI-powered workflows
I scope LLM features, define success criteria for AI flows, and design experiences that stay useful when models are imperfect.
04
Delivery systems that stick
Jira and Trello for execution, Figma and Whimsical for clarity, Mixpanel / GA / Power BI for signals — the stack I use to move work from insight to ship.
Experience
How I improved products — and sorted what was broken
At SaaS Labs and TryKiya I focused on friction, clarity, and leverage — turning unclear problems into scaled, refined workflows.
Current
Product Management Associate
SaaS Labs
SaaS · Workflows · Usability
I own the messy middle of product work — diagnosing where users get stuck, turning unclear asks into shippable plans, and improving SaaS workflows with cross-functional partners.
What I improved
- Mapped real user workflows against product metrics to surface friction that was costing clarity and conversion.
- Drove data-backed usability improvements so critical paths felt simpler and more intentional.
- Took ambiguous stakeholder requirements and broke them into actionable tasks, then iterated features with design and engineering.
- Kept delivery focused on outcomes — sorting priorities so the team shipped what actually reduced friction.
Previous
Product Management Intern
TryKiya
AI · Automation · Roadmaps
I owned AI automation from concept to launch — proving that AI product work is not just prompts, but roadmap, alignment, and measurable time saved.
What I improved
- Conceptualized and launched AI-driven automation features that reduced manual task execution time by 30%.
- Defined the product roadmap for scalable module integration so new capabilities could plug into a coherent system.
- Aligned multiple teams around seamless data flow — reducing handoff gaps between modules.
- Balanced speed of AI experimentation with a clear product narrative for how automation fit the broader platform.
30%
Automation impact
Reduction in manual task time from AI automation features shipped at TryKiya
Top 5
Hackathon signal
Ranked among Top 5 teams in 10+ nationals for AI/ML, user-centric product MVPs
500+
Community scale
Participants reached through Extreme CSE Club events and sessions
Education
Bachelor of Technology — Computer Science Engineering
Galgotias College of Engineering & Technology (AKTU)
Nov 2022 — Jul 2026
CGPA 7.9 · Coursework: Software Engineering, Algorithms, Databases, Operating Systems, Computer Networks, OOP
St. George’s School, Alaknanda, New Delhi
Intermediate (Science with Computer Science) — 91.8% · Apr 2021 — Jun 2022
Certifications & recognition
- Google Cloud Study Jam Arcade — Generative AI; ML & AI tasks
- IBM AI Fundamentals (SkillsBuild)
- SQL (Oracle)
- Python, SQL, JavaScript, CSS, Java (HackerRank)
- Semi-finalist in Smart India Hackathon (SIH) and finalist in multiple national-level hackathons.
- Ranked among Top 5 teams in 10+ national hackathons for delivering AI/ML-driven, user-centric product MVPs.
Selected work
A tight set of AI-minded product builds
Three pieces only — each framed as problem, approach, and outcome.
Flagship product
Jun 2025
DevSync
Flagship · Real-time collab · Product systems
Problem
Distributed teams lose speed when collaboration tools break context, sync, and the sense of working together.
Approach
Designed and shipped a real-time collaborative IDE — multi-user editing, live preview, presence, and session invite flows built for focused pair work.
Outcome
Flagship product: a live browser workspace with durable sync, containerized delivery, and a branded collaboration UI.
Sep 2024
Financial Assistant System
AI product · Fintech · Decision support
Problem
People hold fragmented financial data but lack a trusted way to turn it into decisions.
Approach
Scoped an AI decision-support product that analyzes income, expenses, debts, and assets — then surfaces investment guidance grounded in the full picture.
Outcome
A product path from raw financial signals to tailored recommendations users can act on.
Problem
Retail operators juggle inventory, pricing, logistics, and credit across disconnected tools.
Approach
Designed AI-powered retail ops: demand forecasting, expiry alerts, dynamic pricing, sales analytics, route optimization, and credit risk.
Outcome
An end-to-end retail product vision connecting inventory, logistics, and lending into one operating flow.
Capabilities
Product skills first — light technical fluency after
The marquee is weighted toward discovery, roadmaps, prototypes, and delivery tools — how I scale and refine workflows.
Product craft · tools · workflows
Technical fluency
Product management
Core
- Product strategy & vision
- User research & discovery
- Workflow & friction analysis
- Roadmapping & prioritization
- PRDs & requirement writing
- Stakeholder management
- Rapid prototyping & MVPs
- AI / LLM feature design
- Vibe coding with Claude
- Metric-driven iteration
Also strong in: Leadership · Communication · Problem solving · Active listening · Adaptability · Time management · Conflict resolution
Product tools
Jira, Trello, design, and analytics for day-to-day delivery
- Jira
- Trello
- Figma
- Whimsical
- Mixpanel
- Google Analytics
- Power BI
- MS Excel
Technical fluency
Enough depth to partner with engineering — not a stack flex
- SQL
- Python
- Analytics
- LLMs
- Machine Learning
- Git
Leadership
Product & Hackathon Teams
Team Lead · Cross-functional collaborator
Led hackathon teams from problem framing through MVP delivery and collaborated with internal cross-functional teams to drive product improvements.
GDSC–GCET
Executive
Mentored club members through complex challenges and guided 50+ people through competitive programming and real-world product scenarios.
Extreme CSE Club
Technical, Management & Marketing
Led technical auditions for 250+ candidates and organized hackathons and seminars for 500+ participants.
Connect
One hub for everything. Or reach me directly.
Open to roles where scaling systems, refining workflows, and shipping product matter. Tap the hub for all links in one place — resume, socials, and more — or use a channel below if you already know how you want to connect.
Link hub
All my links
Resume, LinkedIn, GitHub, socials — one tap, always up to date.
ResumeLinkedInGitHubXEmailMore
linktr.ee/maurishkaushikOpen hub →
Direct channels
© 2026 Maurish Kaushik · Workflows · Scale · Product craft