
Engineering student | ML & Python | Open to projects
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AegisOps
June 1, 2026 – Present
AegisOps is an AI-powered autonomous DevOps defense and recovery system that continuously monitors APIs, deployments, logs, and cloud services to detect failures, predict outages, generate fixes, and maintain system uptime automatically.
View ProjectSTUDY-ASSISTANT
May 30, 2026 – Present
A real-time, voice-enabled AI study companion that monitors your behavior, tracks academic progress, detects emotions, and provides personalized guidance — all running **100% locally** for privacy.
View ProjectHandGesture-GamePlay
May 30, 2026 – Present
An interface for playing video games using hand gestures through the implementation of the latest computer vision technology combined with Python programming
View ProjectCareerOS
May 30, 2026 – Present
A full-stack personal career assistant that learns from your career data and generates customized resumes, portfolios, and cover letters.
View ProjectSentimentIQ-V2
April 20, 2026 – Present
SentimentIQ V2 is a full-stack web application that analyzes Amazon product reviews and provides actionable insights using a custom-built NLP engine. It also includes a product comparison feature and a UI module for X (Twitter) analysis.
View ProjectSkinSync
February 21, 2026 – Present
SkinSync is an AI-powered beauty-tech system that analyzes facial skin and provides personalized foundation recommendations along with a real-time virtual try-on experience.
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong inclination towards innovation and problem-solving through personal projects. The diversity of projects, ranging from NLP and computer vision to personal assistants and DevOps, suggests a curious and adaptable mindset. This aligns well with a culture that values continuous learning and initiative. However, the lack of team-based projects or formal experience makes it challenging to assess collaboration and professional communication within a team context.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and independent approach to learning and development. The variety of projects, including AI/ML and computer vision, indicates a broad interest in technology. However, without formal work experience or psychometric test results, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.