
Building Applications & Exploring Agents
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
react-xray
May 26, 2026 – Present
Per-page component reachability for React apps — static analyzer with reachability matrix, render-aware unused detection, and library adoption tracking.
View Projectcode-rag
May 4, 2026 – Present
Code RAG over pallets/flask with AST-aware chunking. recall@5 = 0.900 (hybrid) on a hand-curated eval set.
View Projectremote-terminal
February 7, 2026 – Present
Access your development workspace from anywhere — via browser, Telegram, or AI assistant.
View Projectsuper-agent
February 1, 2026 – Present
Multi-Agent Slack Bot powered by LangGraph with AI superhero agents for workplace automation
View Projectcopybrewery
January 31, 2026 – Present
CopyBrewery is a LangGraph-powered AI agent that crawls websites to extract marketing copy (headlines, taglines, CTAs, descriptions) and uses GPT-4 to generate fresh marketing content inspired by those patterns
View Projectzentickr-yahoo-query-mcp
June 18, 2025 – June 19, 2025
MCP server exposing financial data using Yahoo Finance via yahooquery. Provides stock insights, historical prices, earnings, recommendations, and ownership info. Built for Zentickr AI tools and compatible with research agents or financial copilots.
View ProjectSitemapMinifiedReport
February 12, 2025 – March 25, 2025
SitemapMinifiedReport — GitHub repository
View Projectmedium-aws-transcribe-client
March 27, 2021 – March 27, 2021
medium-aws-transcribe-client — GitHub repository
View Projectmedium-aws-transcribe-server
March 27, 2021 – March 27, 2021
medium-aws-transcribe-server — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a strong initiative and a passion for technology, exploring diverse areas from frontend development to AI agents. This indicates a proactive and curious mindset. However, the projects are predominantly individual, making it difficult to assess collaboration skills or experience in a team-oriented environment. The target role is 'Frontend Developer', and while there are relevant frontend projects, a significant portion of the portfolio is Python-based AI/ML, suggesting a broader interest that may or may not align perfectly with a dedicated frontend role.
Soft Skills & Operational Fit
The candidate's project descriptions are concise, but lack detail regarding their specific contributions, challenges faced, and solutions implemented. This makes it difficult to assess soft skills like problem-solving, collaboration, and communication in a team context. The absence of formal work experience or detailed project narratives limits the ability to evaluate operational fit.