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Curious Full-stack Web3 dev crafting clean code, smart contracts, and AI-powered ideas ⚡🔗🤖
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Sliding-Window-Counter
April 22, 2026 – Present
An Implementation of the Sliding Window Counter Algorithm and Simulation in python
View Projectanchor-pda-token-mint
April 7, 2026 – Present
Anchor program demonstrating PDA-based SPL token minting, ATA creation, and CPI minting with support for Token Program and Token-2022, with TypeScript tests.
View ProjectAI-Learn-Notebooks
March 11, 2026 – Present
This is a Repo of my AI Learning Code Notebooks
View Projectblockchain-node-setup
February 23, 2026 – Present
Docker-based Ethereum (Sepolia) and Solana (Devnet) non-validator full node setups for learning blockchain infrastructure
View Projectzk-panagram
February 12, 2026 – Present
A ZK Panagram app built using Turborepo, Next.js, Wagmi, Viem, Solidity, OpenZeppelin, Noir, NoirJS, and Barretenberg.
View Projectbpe-tokenizer-ts
February 11, 2026 – Present
From-scratch Byte Pair Encoding (BPE) tokenizer in TypeScript using Bun
View Projectfavorites-contract-factory
November 19, 2025 – November 19, 2025
Favorites Contract Factory
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration across diverse technical domains, including blockchain, web development, and AI. This indicates a self-starter mentality and curiosity. However, the projects are predominantly personal and lack team collaboration context, which is crucial for cultural fit in a professional setting. The target role is 'Data Scientist', and while there are some relevant projects ('AI-Learn-Notebooks', 'Sliding-Window-Counter'), a significant portion of the portfolio is focused on blockchain and general software development, suggesting a broad interest rather than a focused alignment with data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.