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AI Developer & Researcher | Building Open-Source AI | Agentic AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CloudRedux
AI Developer
June 12, 2026 – Present
memex
May 9, 2026 – Present
Persistent memory for AI coding agents via MCP — a bitemporal knowledge graph of your codebase, served to Claude Code, Cursor, Gemini CLI, and any MCP client. Tree-sitter + Gemini Flash → Neo4j (via Graphiti). 12 MCP tools, hierarchical clusters, two-regime confidence decay.
View ProjectBleu-Plugin
May 5, 2026 – Present
Bleu - Claude Code plugin for living blueprints. Turns ideas into a file-backed markdown wiki (vision, architecture, ADRs, action points) that survives /clear and hands off to GSD or Superpowers.
View Projectimgshape
November 27, 2025 – December 2, 2025
Allows users to upload images securely to Supabase Storage, trigger automated deep analysis via a custom backend API, and access insights like recommendations, compatibility checks, and downloadable reports.
View ProjectBillBoard-Detection
August 21, 2025 – September 6, 2025
BillBoard-Detection — GitHub repository
View Projectimgshape
June 10, 2025 – Present
imgshape is a dataset intelligence toolkit for computer vision that generates deterministic dataset fingerprints, explainable decisions, and production-ready artifacts for reproducible ML workflows.
View ProjectPhi3-EdgeQuant-Agent
June 9, 2025 – September 11, 2025
Phi3-EdgeQuant-Agent — GitHub repository
View ProjectEdge-LLM
March 30, 2025 – May 24, 2025
Optimized Qwen2.5-3B using GPTQ, reducing size from 5.75GB → 1.93GB and improving inference speed. Ideal for efficient edge AI deployments.
View ProjectYOLO-Comparison
February 4, 2025 – February 12, 2025
A comprehensive analysis of two state-of-the-art object detection models—YOLOv8 and YOLOv9
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards independent, innovative AI development, which could indicate a good fit for a dynamic, research-oriented AI team. The diversity of projects (LLMs, computer vision, AI agents) suggests adaptability and a broad interest in the AI domain. However, the lack of team-based project descriptions or collaborative experience makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed assessment.