- Worked directly under a senior quant developer to conceptualize and develop an in-house portfolio optimization algorithm for cryptocurrencies; Participated in scrums and code reviews. - Conducted market research on existing risk-analysis models (Black-Litterman, semi-variance, mean-variance); Used selected one as reference model to perform factor-based analysis. - Developed Python script to pull coin data from Coingecko API; Uploaded data into PostgreSQL database in a Linux virtual machine environment supported with Git version control. - Implemented multi-factor model framework using Python Pandas supported by sql libraries; Back tested with 9 years of historical coin data. Brought product to MVP stage within 1 month despite being new to Linux, Git and SQL. - Contrary to the commonly utilized method within the traditional market (Mean-variance models) to evaluate an asset's value, the algorithm instead used normalized scores within selected categories to evaluate an asset's standing within its allocated basket.

- Performed market research into cryptocurrency field with context of given start-up pitch decks to craft primary due diligences to help 2 market analysts evaluate projects; Researched on AMMs, LPs, CLPs, Collateralized Loan Markets (CLMMs), Cross-chain bridges, roll-ups, L2s and NFT marketplaces. - Co-authored a script to evaluate the direct impact of a coin’s price when first listed on a major Centralized Exchange (CEX) using Python Pandas.

- Assistant to Logistics Officer in managing the Battalion's logistical needs- Managed 100+ personnel under Headquarters' company- Organised and executed multiple events, alternating between welfare and combat requirements