Kartikย Vij
Founder & Product Strategist Building AI-First Systems, Consulting On AI, Automation & Strategy
Gurugram, Haryana, India
Summary
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Top SchoolKartik Vij is a founder and product strategist with 8 years of experience building AI-first SaaS platforms that span pharma, legal-tech, infrastructure, HR, and IoT-enabled agriculture. He combines deep product intuition with hands-on technical skills across LLMs, RAG pipelines, vector databases, prompt architecture, and automation frameworks to turn messy workflows into scalable, intelligent systems. As founder of Saaspect and co-founder of Too Decimal, he launched products used by thousandsโlike a construction ERP with 10,000+ users and a medicine availability network with 200+ pharmacy partnersโwhile securing grants, patents, and national awards for an AI+IoT weather platform. Kartik routinely partners with startups and enterprises to scope AI MVPs, architect agentic systems, and automate operations using tools like n8n and LangChain, staying deeply involved in both strategy and execution. Known for rapid iteration and pragmatic system design, he balances strategic consulting with building production-grade solutions that measurably cut manual work and improve decision-making.
8 years of coding experience
Launchpad 13, NSRCEL, Entrepreneurship/Entrepreneurial Studies, Launchpad 13, NSRCEL, Entrepreneurship/Entrepreneurial Studies at Indian Institute of Management BangaloreBachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Chitkara University
English, Hindi, Spanish, French
Stackoverflow
211reputation
13kreached
16answers
8questions
Github Skills (20)
popularity7
rise7
xml6
admob6
gson6
android6
android-layout6
kotlin6
android-recyclerview6
java6
android-xml6
explore5
ieee5
exploratory5
jekyll4
Programming languages (6)
Github contributions (5)
KartikVij/DataStructuresPractice
Oct 2018 - Nov 2018
Contributions:8 commits, 1 PR, 6 pushes in 1 month
KartikVij/US_BikeShare_Data
Apr 2018 - Oct 2018
Over the past decade, bicycle-sharing systems have been growing in number and popularity in cities across the world. Bicycle-sharing systems allow users to rent bicycles for short trips, typically 30 minutes or less. Thanks to the rise in information technologies, it is easy for a user of the system to access a dock within the system to unlock or return bicycles. These technologies also provide a wealth of data that can be used to explore how these bike-sharing systems are used. In this project, you will perform an exploratory analysis on data provided by Motivate, a bike-share system provider for many major cities in the United States. You will compare the system usage between three large cities: New York City, Chicago, and Washington, DC. You will also see if there are any differences within each system for those users that are registered, regular users and those users that are short-term, casual users.
Contributions:1 PR, 11 pushes, 1 branch in 5 months
wealthdocksharingwashingtonnew-york
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