
SVM !
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
rust-lessons
November 11, 2025 – Present
🦀 Complete code examples and exercises from Smart Contract Programmer's "Learn Rust" playlist. A beginner-friendly collection covering Rust fundamentals including variables, functions, control flow, data structures, and more. Perfect for blockchain developers getting started with Rust.
View Projectresonance-dlmm-saros
September 20, 2025 – October 9, 2025
A DLMM inter-pool arbitrage system with mathematically optimised trade amounts to maximise profits. Built on Saros using, https://github.com/saros-xyz/saros-dlmm-sdk-rs
View ProjectThe-Nyx-Weave
June 11, 2025 – July 7, 2025
A high-frequency arbitrage protocol on Solana leveraging Ephemeral Rollups for ultra-low latency trade execution. The platform uses an off-chain bot to atomically swap assets within a temporary, on-demand runtime, maximizing speed and minimizing fees.
View Projectsolana-create-token-raydium-lp-bundle
October 30, 2024 – October 30, 2024
Basic contracts for creating a token and
View ProjectOwlLearn-SmartContract-Testing-With-Hardhat
August 29, 2023 – August 29, 2023
OwlLearn-SmartContract-Testing-With-Hardhat — GitHub repository
View ProjectOwlSwap
July 19, 2023 – August 23, 2024
'OwlSwap' contracts are designed to call flash-loan from AAVE and execute an arbitrage trade between Uniswap and TraderJoe on Arbitrum
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong alignment with the innovative and fast-paced nature of blockchain development. The focus on personal projects, including learning Rust fundamentals and building complex DeFi protocols, suggests a high degree of self-motivation and a passion for the domain. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a proactive, self-driven learning approach, but no direct assessment of collaboration, communication, or problem-solving in a team context is available.