Writing research paper on AI / ML
Writing a research paper on artificial intelligence and machine learning.
Founder’s instinct. Product discipline.
New York, United States
I’m an AI product manager and former founder, currently writing a research paper on AI / ML. I previously worked as an AI Product Manager at Niural AI in New York, bringing a founder’s perspective to product and people. Before that, I founded and led Lanceme Up, managing a team of 10 professionals across product development, client delivery, strategy, finance, marketing, sales, and international expansion. Lanceme Up was selected for a USAID-backed incubator in 2023 and received $100,000 worth of Microsoft Founders Hub benefits. I also co-founded Maghao, a quick-commerce marketplace connecting local vendors with local buyers. My earlier work spans technical product management and digital marketing, and I hold a bachelor’s degree in Computer Application from Tribhuvan University. I write Product Brained, a newsletter exploring AI and product management.
Say hello ↗01 / THE JOURNEYDifferent hats.
Different hats.
Same curiosity.
AI Product Manager
Niural AINew York, United States · On-site.
Founder & Chief Executive Officer
Lanceme UpFounded the business and led a team of 10 professionals. Selected for a USAID-backed incubator in 2023 and received $100,000 worth of Microsoft Founders Hub benefits. Oversaw product development and implementation for clients, company strategy, financial operations, budget planning, cash flow, marketing, and sales. Led international market expansion and represented the company in NYEF STARTUP, EO GSEA, and ICT AWARD. Lalitpur District, Nepal · Full-time · Hybrid.
Co-Founder & CEO
MaghaoCo-founded a quick-commerce marketplace, a subsidiary of Lanceme Up, connecting local vendors with local buyers and helping local businesses get online. Nepal · Part-time · On-site.
Technical Product Manager (Internship)
Intopros TechnologiesHelped design a user-centered feature improvement process associated with an 18% increase in customer satisfaction ratings. Contributed to a 30% reduction in time-to-market through workflow improvements and prioritization. Analyzed user behavior to inform the roadmap and introduce two revenue-driving features. Coordinated across departments to deliver features on time and within budget. Lalitpur District, Nepal · Full-time · On-site.
Digital Marketing Associate
SabKura TechHelped improve content rankings in Google Search and optimized landing pages for technical SEO. Newroad, Kathmandu · Full-time.
02 / EDUCATION
Where I learned.
Tribhuvan University
Bachelor’s degree in Computer Application, Information TechnologyBernhardt HSS
+2 Science, Computer ScienceGrade: A
03 / SKILLS
What I work with.
- Entrepreneurship
- Team Leadership
- AI Product Management
- US Payroll
- Web Development
- AI Team Management
- Product Lifecycle Management
- EOR
- AOR
- Business Development
- Graphic Design
- Software Product Management
- Marketing Strategy
- Search Engine Optimization (SEO)
- Google Analytics
- Product Management
- Product Leadership
- Digital Marketing Media
- Agile Methodologies
- Agile Project Management
04 / CERTIFICATIONS
Always learning.
English Proficiency Certificate
Duolingo English Test05 / NEWSLETTER
Thinking out loud.
06 / PRODUCT FOCUS
The questions behind useful AI.
A product lens on what to build, how it should behave, and whether it makes a meaningful difference.
Find the right problem
Start with the person, the workflow, and the friction. Frame the opportunity before choosing a model or building a feature.
Design the agent experience
Make intent, context, permissions, and recovery part of the product. Help people understand what an agent can do and where they stay in control.
Define what good looks like
Look beyond task completion. Consider answer quality, user effort, trust, and the cost of being wrong.
07 / WORKING APPROACH
From uncertainty to a clear next step.
A way to organize product questions, learn from evidence, and make deliberate decisions.
Understand the context
Who is trying to do what? Examine the existing workflow, incentives, constraints, and moments where people need help.
Make the idea testable
Define the smallest useful experience. Turn assumptions about value, behavior, and technical feasibility into questions a prototype can answer.
Evaluate the whole experience
Test normal paths and failure cases. Ask whether people can understand, steer, verify, and recover from the system’s behavior.
Learn, decide, repeat
Use the evidence to decide what to change, expand, or stop. Keep the problem and the user visible as the product evolves.