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Full-Stack & AI Developer
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SeeWise.AI
Full-stack
June 15, 2026 – Present
MCP-Server
April 7, 2025 – April 7, 2025
Lightweight programs that each expose specific capabilities through the standardized Model Context Protocol
View ProjectMCP-Client
April 7, 2025 – April 7, 2025
I’ve developed a scalable MCP client designed to work seamlessly with local LLMs—currently running on LLaMA 3.2—and architected it to support multiple models with minimal configuration.
View ProjectInventory-Management-AI
March 29, 2025 – March 29, 2025
A sophisticated inventory management system that leverages AI and vector search to provide intelligent insights and recommendations for inventory management.
View ProjectAI-Customer-Engagement
March 28, 2025 – March 28, 2025
AI-powered shop floor analytics system, leveraging YOLO, PyTorch, and heatmap analysis to track customer movement inside a store. This project helps retailers understand which areas are most active and which products attract the most engagement.
View ProjectWeather360-website
July 6, 2020 – March 5, 2023
weather360 responsive weather forecast website with current weather access
View ProjectCultural Fit Analysis
The candidate's portfolio consists entirely of personal projects, which demonstrates self-motivation and a passion for technology. The diversity of projects, ranging from web development to AI/ML and IoT-related systems (ModbusHub, MCP-Server), indicates a broad technical interest. However, the lack of team-based projects or open-source contributions makes it difficult to assess collaboration skills or fit within a team-oriented culture. The current role at SeeWise.AI is listed as 'Full-stack' but without further details on responsibilities or team interaction, cultural fit remains largely unassessed.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work independently on complex technical challenges. However, without specific assessment data on communication, teamwork, or problem-solving in a collaborative setting, it is difficult to fully assess soft skills and operational fit. The project descriptions are concise but lack detail regarding challenges faced or solutions implemented, which limits insight into problem-solving approaches.