I enjoy automation, optimizing workflows, and building software that solves real-life problems. Open to building and exploring new 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
Loopr AI
Data Scientist
June 12, 2026 – Present
efficient-ado
February 9, 2026 – Present
Efficient Azure DevOps MCP - LLM-optimized ADO workflows for AI assistants (35 tools)
View Projectefficient-search
February 8, 2026 – Present
Efficient Search MCP - LLM-optimized web search using Google PSE | npm: @om-surushe/efficient-search
View Projectefficient-ticktick
February 8, 2026 – Present
Efficient TickTick MCP - LLM-optimized task management | npm: @om-surushe/efficient-ticktick
View Projectowui-adaptive-memory
January 3, 2026 – Present
Persistent, personalized memory plugin for OpenWebUI
View ProjectModelPilot
December 4, 2025 – Present
Self-hosted LiteLLM proxy server with Docker Compose. Smart LLM routing, load balancing, and unified API for 100+ models.
View Projectgrocertrack-pwa
December 3, 2025 – Present
A minimalist, offline-first grocery shopping tracker PWA. Features smart unit price calculation, dark mode, and local storage persistence. Built with React and Tailwind.
View Projectsoul_notes
July 27, 2025 – July 30, 2025
A note taking app to help you connect with yourself and keep it distraction free. (Built with Kiro IDE)
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, many of which are related to AI/LLM optimization and web development. This indicates a self-starter who is keen on exploring new technologies. However, the current experience level is listed as 0, and the only listed professional experience is a 'Data Scientist' role starting in the future (2026), which makes it difficult to assess real-world team collaboration or professional project contributions. The diversity of projects suggests adaptability, but the depth of experience in a professional data science setting is not evident.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.