Product and
AI Builder.
I'm Akshin - a technically-driven builder and co-founder of Check-In, scaling to 10,000+ users. I work across ML, product, and engineering, and I'm always tinkering - whether that's testing new software tools, wiring up new APIs, or playing around with whatever frontier model dropped last week. I care about building things that are genuinely useful, and I move fast to do it.
Machine Learning
AI Products
Engineering
Startups
Research
01
Experience
Mar 2025
- Present
- Present
Co-Founder
Check-In · Toronto, ON
- Built a full-stack community safety platform from zero (React, MongoDB, Firebase), scaling to 10,000+ users across Toronto and Halton Region.
- Integrated Claude and GPT-4 to power content moderation, smart notification routing, and user-facing AI features.
- Reduced dev cycle time by 40% through LLM-assisted product workflows; led agile delivery with Git and Jira.
- Secured partnership with Halton Crime Stoppers, who are directly partnered with Halton Regional Police Service.
Feb 2026
- Present
- Present
Project Manager
Mercor · San Francisco, CA
- Led high-volume technical screening for AI training teams, evaluating 100+ candidates across engineering, ML, and data roles.
- Performed simulated AI model evaluations across various mathematical methods against internal scoring criteria.
- Applied Claude and GPT-4 to accelerate profile analysis and generate structured evaluation summaries.
Apr 2025
- Aug 2025
- Aug 2025
Product & Data Associate
Front Row Ventures · Toronto, ON
- Built AI-assisted data pipelines (Python, SQL, Airtable, Zapier) to automate deal flow tracking across 8+ internal systems.
- Built a web scraper with LLM-powered data extraction to enrich startup datasets, saving 30+ hours/month.
- Designed automation tools used by dozens of users to surface investment signals and improve decision-making.
02
Projects
2025 – now
↗
Check-In
Community safety platform. 10,000+ users. AI powers moderation and real-time notifications.
2024
↗
InteriorLab
AI-powered 3D interior design tool - converts natural language prompts into real-time 3D visualizations via GPT-4, OpenSCAD, and a custom VTK rendering engine.
2023
↗
Autonomous Weed Detection Drone
Custom computer vision model for real-time weed detection and precision pesticide targeting on autonomous drone hardware. $4,500+ in funding.
Fellowships
Cambridge, MA · Hacker House
Lived and built at Harvard St. for 3+ months - a collaborative house for ambitious founders in Harvard Square. 150+ founders hosted, $50M raised by residents.
Mercatus Center · Tyler Cowen
$2,500 grant for autonomous drone research. Invited to the 2024 UnConference in Washington, D.C.
Inflection Grants · Long Journey Ventures
$2,000 grant through the Inflection Grants program - backed by Long Journey Ventures (Uber, SpaceX, Notion) for builders under 25.
Shelf
Reads & Watches
Claude Code for Everything
Hannah Stulberg - step-by-step for non-technical users
Building AI Agents that Actually Work
Greg Isenberg & Remy Gaskell - full crash course
Atomic Habits
James Clear
Huberman Lab
Andrew Huberman
03
Contact
Let's Connect.
Open to roles, internships, and conversations - especially at the intersection of ML, product, engineering, and startups.