Hi, I'mGaurav Chaulagain
AI Solutions & Enterprise Deployment | Agentic Workflow Strategy | Forward Deployed TPM
Technical Project Manager with 5+ years shipping AI products and deploying complex systems at enterprise scale. I’ve taken an AI styling agent from zero to 50K+ users across 14 major retailers, delivered MarTech infrastructure across 18 enterprise properties, and now embed on-site with enterprise customers as a Forward Deployed TPM — architecting implementations, building multi-agent workflows, and driving adoption from VP to end user.
About Me
I sit at the intersection of AI product, technical delivery, and customer-facing execution. My work spans the full stack of what it means to bring hard technology to production.
Currently as a Forward Deployed TPM at FleetPanda, I own end-to-end implementation for 7 enterprise fuel distributor accounts ($1.24M CARR). I embed on-site to map dispatch workflows, architect tailored solutions, and drive user adoption — and I’ve built a multi-agent system inside my own implementation workflow to scale quality without losing per-customer depth.
How I Think About Technical Delivery
Four operating principles stress-tested across AI agents, enterprise deployments, and systems that had to work in production
Start with the behavior, not the request
Users and customers rarely articulate the real problem — they describe a symptom.
The job is to find the behavior underneath the ask.
Real Example
A fuel distributor account said they needed "more driver training." The real behavior: drivers weren't the problem — dispatchers had only partially adopted the platform and were still calling drivers by phone instead of assigning jobs through it.
Once we focused on-site time on dispatcher confidence first — walk-throughs, live dispatch sessions, mapping their existing mental model onto the FleetPanda dashboard — driver adoption followed on its own within a week.
Key Principle
Solve the behavioral root cause, and the right solution becomes obvious.
Reduce complexity until the system is inevitable
Complex systems are easy to build. Systems that feel obvious to the people using them are hard.
Real Example
A MarTech CMS serving 18 enterprise properties took 8+ seconds to load and required engineering for every content change.
Simplifying the execution path and cutting load time to 2.5s reduced bounce rate by 22%, lifted organic traffic 39%, and gave non-technical teams full publishing independence.
Key Principle
If someone pauses and thinks "what do I do now?" — the system isn't done.
Measure what predicts outcomes, not what's easy to count
Vanity metrics feel good. Leading indicators change decisions.
I instrument for the signals that tell me something is working before the lagging metrics catch up.
Real Example
For the AI styling agent, instead of tracking clicks or sessions, I tracked:
- time to first successful task completion
- recovery rate after AI misinterpretations
- retention through the first 5 interactions
These signals reshaped the roadmap twice before any aggregate conversion number changed.
Key Principle
Good metrics predict behavior. Great metrics give you time to course-correct.
Move fast — but build gates, not guardrails
Speed without structure creates the illusion of progress.
I sequence work so that each phase must prove itself before unlocking the next.
Real Example
Every FleetPanda enterprise implementation runs as a 6–8 week sequence with explicit adoption gates:
- dispatcher sign-off before driver rollout
- live order flow before invoicing goes live
- accounting integration only after portal adoption is confirmed
This keeps velocity high while ensuring each layer is solid before the next one is built on top of it.
Key Principle
Momentum is a feature. Adoption gates are how you protect it.
Experience
Implementation Technical Project Manager
FleetPanda
Owning end-to-end enterprise implementation across petroleum logistics accounts, deploying agentic workflows inside my own implementation process to scale quality without sacrificing per-customer depth.
Key Impact
Product Manager — Fashion AI Agent
fAIshion Inc.
Led product strategy and delivery for a 0→1 AI-powered personal styling assistant. Translated research-level model outputs into clear, trustworthy user experiences and a scalable product foundation.
Key Impact
Senior Technical Project Manager
WP Creative
Led product and technical delivery for a MarTech SaaS platform serving 18+ enterprise properties. Drove full product lifecycle from discovery through launch, building the data infrastructure and workflow systems that enabled the team to move fast and measure what mattered.
Key Impact
Associate Product Manager — Automation & Reliability
Hazesoft
Focused on improving the reliability and operational quality of enterprise cloud deployments through automation, observability, and structured process improvements.
Key Impact
Web Developer & Accessibility Coordinator
Blind Women Association of Nepal
Built and maintained a web presence for a nonprofit supporting blind women, with a focus on accessibility standards and usability for assistive technology users.
Key Impact
Featured Case Studies
Real product challenges, measurable impact, and lessons learned from building products that matter
Education
Master of Science in Computer Science
San Francisco Bay University
Machine Learning, AI, Software Engineering
Bachelor of Science in Computer Science
St. Xavier's College
Computer Science, Software Development
Featured Projects
Personal projects showcasing my technical skills and passion for innovation
ELDA.AI
Winner of Cal Hacks 12.0 - Best Use of Claude by Anthropic
An AI-powered eldercare assistant designed to help seniors with daily tasks, medication reminders, and companionship. Built in 36 hours during Cal Hacks 12.0 at UC Berkeley.
Aakha.org
AI-Powered Child Sponsorship Platform — Live at aakha.org
Aakha.org is a live child sponsorship platform that connects sponsors, NGOs, and children through an AI-powered matching system. The platform replaces a fragmented, manual, and opaque sponsorship process with a transparent, data-driven ecosystem — where the right sponsor finds the right child, NGOs manage operations efficiently, and every stakeholder has a purpose-built interface.
NepalElection.chat
AI Election Copilot — Built & Deployed in 24 Hours
NepalElection.chat is a live AI election intelligence platform built and deployed in 24 hours during Nepal's 2082 federal election. It combines a multi-agent data pipeline scraping real-time results from Nepal's top news sources with a bilingual AI chat interface — giving any user instant answers about 165 constituencies, 3,406 candidates, and 77 districts in English or Nepali. Within 24 hours of launch: 13K Google Search impressions, 724 organic clicks, and users from 5 countries — all from zero.
Achievements & Recognition
Continuous learning and community leadership
Hackathons & Awards
October 2024
Cal Hacks 12.0
UC Berkeley
Built ELDA.AI, an AI-powered eldercare assistant using Claude API
Winner - Best Use of Claude by Anthropic
December 2022
FR. MARSHALL D. MORAN, S.J. MEMORIAL AWARD FOR EXCELLENCE IN ACADEMICS
St. Xavier's College
Recognized for outstanding academic excellence and consistent high performance throughout the academic year
Memorial Award for Academic Excellence
April 2022
LSRA Research Student Cycle III
St. Xavier's College, Research Team
Selected as a research student for the LSRA Research program, contributing to advanced research initiatives
LSRA Research Student
2020
Winner of "Rising Student ICT Awards 2020"
ICT Award 2020 - I C Tech Media Pvt. Ltd.
Awarded for outstanding achievement and innovation in Information and Communication Technology
Rising Student ICT Award Winner
Professional Certifications
6 CertificationsClaude Code in Action
Anthropic
November 2025
Hands-on certification covering Claude Code CLI, MCP Server integration, and agentic workflow development using Anthropic tooling.
AI Fluency for Students
Anthropic
November 2025
Certification demonstrating foundational and applied fluency in artificial intelligence concepts and Anthropic AI systems.
Google Project Management Certificate
Google (Coursera)
2024
Comprehensive certification covering project management fundamentals, Agile methodologies, and practical PM tools
Google Cloud Digital Leader Certification
Google Cloud
2024
Certification demonstrating understanding of cloud concepts, Google Cloud products, and digital transformation
AI for Product Management
Credly
2024
Specialized certification focused on managing AI/ML products, understanding AI capabilities, and ethical AI development
Agile Project Management
Coursera
2024
Professional certificate covering agile methodologies, sprint planning, and iterative product development
Leadership & Community
2024 - Present
Founder of SFBU Computer Club (Build & Break)
San Francisco Bay University
Founded and lead a computer science club focused on hands-on projects, hackathons, and technical skill development
2024 - Present
Chief Strategy Officer - Entrepreneurship Club
San Francisco Bay University
Lead strategic initiatives for the entrepreneurship club, organizing events, workshops, and networking opportunities for aspiring entrepreneurs
Let's Work Together
Open to Forward Deployed TPM, AI Solutions Engineer, and Senior Technical PM roles
gauravchaulagain0@gmail.com
Phone
925-860-9912
Location
San Francisco Bay Area, CA
Schedule a Call
Book a meeting