MonitorMyOcean.com
Endorsed by UNESCO
as UN Ocean Decade Activity
Shortlisted for Economist Impact's World Ocean Initiative's Ocean Changemakers Challenge
Canada Wide Science Fair and International Science and Engineering Fair Grand Award Winner
Z Fellows Alumni
Hey there! I’m Artash—founder, researcher, and Stanford undergraduate working with UAVs, robotics, and environmental innovation. I build technology to tackle intergenerational challenges.
I work across UAVs, space exploration, robotics, oceans, pandemics, and quantum computing, using advanced algorithms and big data to tackle intergenerational challenges. Notable projects include MonitorMyOcean.com, endorsed by IOC-UNESCO, which measured global ocean silence during COVID-19, and MonitorMyLockdown.com, which used seismic data to assess lockdown effectiveness.
​
Currently, I’m developing autonomous VTOL drones and leading You-Oceans.com. I’ve built over 30 robots, rockets, and AI-driven projects, earning recognition from NASA, CSA, ESA’s ARIEL Space Mission, RASC, and NSERC. I’ve spoken at 80+ global conferences, including GeoPython, EuroGOOS, UN Ocean Conference, SciPy, AGU, and the Planetary Defense Conference.​ My work has been featured in Toronto Star, CTV News, CBC News, and Global News,
Experience
Currently Studying Computer Science at Stanford University (2024 - 2028)
Autonomy Co-Lead
Stanford Student Robotics
Building perception stacks, autonomous takeoff and landing algorithms, and robust safety features for the SkyRunners Drone Delivery Team. Leading integration of LiDAR, Cameras, IMUs to improve precision and path-finding.
Working Group Member
Intl. Quiet Ocean Experiment
Collaborating and meeting with researchers from MIT and the University of Exeter to develop low-cost hydrophones for accoustics-based marine conservation.
Founder and Chair
Leading board meetings and managing USD $40 000 in grant funding. Managing a team of developers creating the web application and developing deep learning algorithms to be used by policymakers and conservation initiatives
Researcher
Natural Resources Canada
Working with NRCAN Researchers on analyzing big data on wind speed to identify the seismic signature of water and ice conditions in the Saint Lawrence River shipping corridor. Authored papers and created time series simulations.
AI Engineer
WithPipeline.com
Developed and deployed LLM agents to automate LinkedIn outreach and CRM processes. Conducted prompt engineering and fine-tuning of language models for specific use cases.
prev. Co-Founder
Pluma Interactive
Developing Prototype Devices (running on C++ and Python) for VC Pitches, Coding front / backend software for long term care home nurse dashboard, Planning research studies and methodology for device effectiveness
Tech Stack Behind My Projects
Over the past decade, I’ve developed expertise in Python, C++, deep learning, and big data analysis. I have worked extensively with TensorFlow and PyTorch, fine-tuning large language models (LLMs) such as GPT-3.5 and Claude with transfer learning, and implementing computer vision systems using OpenCV and YOLO for object detection. I’ve built backend systems with FastAPI, integrating APIs from OpenAI, Anthropic, and AWS to deploy AI solutions for real-time robotics and assistive technology.
