Chris Hjorth

SCOPE CODA digitalizes the children malnutrition management programs defined by WHO, UNICEF, and WFP. CODA stands for Conditional On-demand assistance. It is a data collection and assistance management platform that can operate in locations with poor network and electricity infrastructure. The project involved multiple stakeholders that needed access to data reports, from local doctors to regional and country-level government and organizations. It is designed to be used by users with little to no experience in operating technological systems. The solution was implemented as custom smartphone-like devices operated by local nurses, NFC cards that allowed mothers to transport the child’s data, battery recharge and data synchronization operations, data dashboards and customizable malnutrition management program flows.

Woomio is an influencer marketing analytics and insights platform. It improves the relationship between brands and influencers empowering the operations of both parties. I managed the product and led the development team during the first years of the company. I led the startup to product-market fit via tight collaboration with the sales team, research, competition differentiation and multiple MVP launches of potential features of value.

Sharingear was a peer to peer musical instrument rental platform. With very limited resources I took the idea to market as a fully functional product within 3 months of the Startupbootcamp program. I managed the product, hired talent and managed development, besides architecting the system. I architected the system specifically to allow junior developers to punch above their weight and learn faster. For this, I designed a custom JavaScript framework that removed the need for deeper level knowledge and combined it with a rigorous deployment toolchain that ensured quality.
The fast product launch allowed us to gather interest from bigger players that fuelled the go-to-market strategy in the music industry via influence.

• $200,000 — Achieved Funded Account Status by Passing Max Daytrading Pool Trial

• I needed a system to describe deterministic trading setups and have them executed autonomously.
• The system needed to support forward walk simulations and custom indicator condition formulations.
• In order to avoid the classic “works in backtest but fails live,” I needed data reconciliation between live and simulation environments and between live trade logs and simulation trade logs.

• Developed a custom Python-based execution loop to fetch bar data and compute indicators.
• Implemented a custom indicator condition language for algorithm descriptions.
• Enabled simultaneous connections to multiple brokers.

• Achieved data fetch and processing in under 20 seconds per new bar.
• 4 AI agents producing trading algorithms to adapt to market mood shifts.
• Successfully passed the Trade the Pool trial by trading $200,000 in capital with strict limits.