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Data Science and Machine Learning Enthusiast.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
paper-trading
June 12, 2026 – Present
Single-user paper trading app — FastAPI + React + Postgres, market orders at delayed yfinance prices. Built spec-first with Claude Code.
View Projectclaude-agents-sdk-trace
June 8, 2026 – Present
claude-agents-sdk-trace — GitHub repository
View Projectrag
June 4, 2026 – Present
RAG experiment harness to test a bunch of different strategies
View Projectom-cli
May 30, 2026 – Present
A terminal-native agentic coding harness (Bun + TypeScript + OpenTUI) with Anthropic & OpenAI providers.
View Projectmcp-authkit
May 19, 2026 – Present
OAuth 2.1 + Personal Access Tokens for Model Context Protocol servers
View ProjectLangchain_Profile_summariser
December 2, 2023 – December 10, 2023
A Langchain application that uses OpenAI API, SerpAPI, LinkedIn API to find information and make inferences about someone using only their name
View ProjectHarm-meme-detection
November 7, 2023 – November 24, 2023
A Deep-learning model for classifying a meme as harmful or not
View ProjectLSM_Project
April 30, 2023 – December 3, 2023
An eBPF module created to prevent docker escape attacks by leveraging the unshare command
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong initiative and curiosity across various technical domains, including eBPF, deep learning, LLM applications, and web development. This breadth of interest could indicate adaptability and a proactive learning attitude, which are positive for cultural fit. The 'Harm-meme-detection' and 'Langchain_Profile_summariser' projects align directly with the target role of Data Science and Machine Learning, suggesting a genuine interest in the field. However, without information on team-based projects or collaborative experiences, a full assessment of cultural fit is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest an ability to work on diverse technical challenges, but there is no information on collaboration, communication, or problem-solving methodologies in a team context.