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Building intelligent applications with Machine Learning and Full Stack Development 🤖
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Semantic-DebtMapper
June 15, 2026 – Present
Semantic DebtMapper is an AI-powered code analysis tool that identifies and visualizes technical debt by using semantic understanding of source code. It helps developers detect maintainability issues, prioritize refactoring efforts, and gain insights into code quality through intelligent debt mapping.
View Projectmemory-firewall
June 5, 2026 – Present
A secure gateway and policy engine for AI agent memory. Intercepts, inspects, and sanitizes read/write loops to prevent prompt injection and memory poisoning.
View ProjectHandSpeak
May 26, 2026 – Present
AI-powered real-time multicultural sign language recognition — ASL, ISL, BSL & Universal gestures
View ProjectTodo-app
April 29, 2026 – Present
Full-stack Todo application built using React, Node.js, Express, PostgreSQL, and Redis.
View ProjectEmail-scrap
April 29, 2026 – Present
Developed a Python email extraction tool that scrapes websites, identifies valid email addresses using regular expressions, removes duplicates, and exports structured results for analysis.
View ProjectCultural Fit Analysis
The candidate's project portfolio is diverse, covering AI/ML, full-stack development, and web scraping. This breadth suggests adaptability and a willingness to explore different technical domains. However, all projects are personal, which limits insight into team collaboration or experience in a structured organizational environment. The target role is 'Data Scientist', and while there are relevant AI/ML projects, the overall portfolio also includes significant web development, which might indicate a broader interest rather than a focused alignment with a pure data science role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear but do not provide insights into collaboration, problem-solving approaches, or communication style in a team setting.