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AI Engineer with less than a year in computer vision and microservices.
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Assessing your cultural and operational fit
Final-year Computer Engineering student with 9 months of experience building production-scale backend and AI systems. Designed and deployed real-time Driver Monitoring System using computer vision (InsightFace, MediaPipe, YOLOv8) and microservice architecture (FastAPI + Spring Boot). Experienced in handling large-scale data (12M+) and building scalable, high-performance systems. Seeking roles in AI/ML and backend systems.
Shah & Anchor Kutchhi Engineering College
B.Tech Computer Engineering · Computer Engineering
N/A – June 30, 2026
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Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an AI Engineer role through diverse projects combining full-stack development with specialized AI/ML applications. The personal projects and internship experience show initiative, a proactive learning attitude, and the ability to work across different technology stacks. The focus on real-world problem-solving (DMS, Credit Card Parser) aligns well with an innovative and results-oriented culture.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Problem Solving, Teamwork, Curious, Proactive, self-driven, Adaptability, and Analytical Thinking. These indicate a good operational fit for collaborative and dynamic engineering environments. The experience in collaborating with frontend and management teams further supports this.