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AI Engineer with less than a year in Machine Learning & Python 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
Computer Science (AI & ML) graduate with skills in software systems, automation, data handling, and AI-based applications. Passionate about problem-solving and building innovative technology solutions, as demonstrated through projects like an AI-powered crowd monitoring system and a face recognition attendance system. Experienced in Linux environments and cybersecurity fundamentals, aiming to leverage technical expertise for impactful solutions.
Vidyavardhaka College of Engineering
B.E. · Computer Science (Artificial Intelligence & Machine Learning)
August 1, 2022 – June 30, 2026
Aradhana PU College
Pre-University · PCMB
June 1, 2020 – May 31, 2022
St Joseph's School
10th · CBSE
N/A – May 31, 2020
CoE - Cybersecurity & Digital Forensics, SCIEM Mangalore
Internship Completed
January 1, 2026 – June 1, 2026
India
News Dataset Automation System
January 1, 2025 – June 1, 2026
Developed an automation pipeline for structured dataset extraction and submission workflows. Integrated validation logic and AI-generated summaries to reduce manual processing.
View ProjectFace Recognition Attendance System
January 1, 2025 – June 1, 2026
Created an AI-powered attendance system using face recognition and automated CSV logging. Marked attendance with accurate timestamps while reducing proxy and fake attendance.
CrowdShield: AI-Powered Crowd Monitoring System (Patented)
January 1, 2025 – June 1, 2026
Built an AI-based system for crowd counting, anomaly detection, and smart alert generation. Implemented restricted-zone monitoring and automated gate control for safety management.
Python
Infosys
June 1, 2026 – Present
Data Analytics
June 1, 2026 – Present
ML & AI
Coursera
June 1, 2026 – Present
Generative AI
NVIDIA
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong interest in applying AI to real-world problems, such as crowd monitoring and attendance systems. The diversity of projects, from computer vision to data automation, indicates a broad interest within the AI/ML domain. The internship in cybersecurity and digital forensics, while not directly AI, shows an openness to exploring related technical fields and foundational system knowledge. This breadth of interest and problem-solving focus suggests a good cultural fit for an innovative AI engineering team.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude through multiple certifications and academic projects. Their project descriptions indicate an ability to identify problems and propose AI-driven solutions. The internship experience suggests an aptitude for system-level operations and structured workflows. However, without psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is not possible.