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Aspiring Web Developer | Proficient in React, Django, Python, and TypeScript | Passionate about learning and building innovative solutions
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Resume-Match-env
April 8, 2026 – Present
The agent receives a resume and a job description. Through a sequence of structured actions (adding keywords, removing irrelevant content, improving formatting, etc.), the agent must maximize a deterministic match score. The environment provides partial progress rewards, enabling meaningful RL training.
View ProjectAxiom-Signal---Personalized-Tech-Sensemaking
January 26, 2026 – Present
Axiom-Signal---Personalized-Tech-Sensemaking — repository
View Projectswarmforge-agent-economies-on-x402-solana
December 15, 2025 – December 15, 2025
Browser arena where 3 deterministic agents (Oracle, Trader, Strategist) run 10-round simulations under seven pre-set hypotheses. Every interaction follows an x402-style payment flow (mocked by default; devnet-ready), producing a live ledger, metrics, and exportable JSON for replays. Built for Encode x Solana Winter Build Challenge (x402 track).
View ProjectResearch-Assistant-Stakeholder454
December 1, 2025 – December 1, 2025
Reading and reproducing a single modern ML paper can take hours to days: figuring out which parts of the methods matter, which hyperparameters were used, and how the evaluation was performed. Teams, students, and reviewers waste time re-implementing incomplete methods or chasing ambiguous claims. That slows research and makes reproducibility harder
View ProjectCultural Fit Analysis
The candidate's personal projects show a diverse range of interests, including AI/ML, web development, and blockchain. This indicates a proactive and curious individual. The alignment with a 'Data Scientist' role is present through several Python-based AI/ML projects, suggesting a genuine interest in the field. However, the lack of professional experience or formal education in data science makes it difficult to fully assess cultural fit within a structured data science team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.