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AI Engineer with less than a year in AI-driven and full-stack applications.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer experienced in developing and deploying AI-driven and full-stack applications across multiple domains. Skilled in building scalable backend services, responsive web interfaces, and data-driven applications. Passionate about leveraging AI solutions, software engineering, software development, full-stack development, and delivering efficient, secure and scalable solutions.
Cochin University College Of Engineering Kuttanadu
Master of Computer Applications
August 1, 2023 – June 30, 2025
Fr. Porukkara CMI College Of Advanced Studies
Bachelor of Computer Applications
August 1, 2020 – June 30, 2023
Gregorian Institute Of Technology
Diploma in Civil Engineering · Civil Engineering
August 1, 2017 – June 30, 2020
Kiksy.AI
AI Engineer Trainee
December 1, 2025 – March 31, 2026
Bengaluru, Karnataka, India
Smart Canteen Management System
June 24, 2026 – Present
• Developed a full-stack web application to automate canteen order management for educational institutions • Implemented personalized dashboards based on user eating patterns with a digital ledger for credit tracking • Designed role-based access control for administrators and users to manage orders and balances
Advancements in Cricket Shot Detection: Integrating Human Pose Estimation and Deep Learning
June 24, 2026 – Present
• Engineered a full-stack pose-based cricket shot classification system using human pose estimation and deep learning techniques • Designed and implemented an end-to-end data pipeline for keypoint extraction, flattening, scaling, normalization, and model training • Developed RESTful APIs for shot prediction, authentication, and feedback management • Built a responsive web interface to support real-time shot detection and analysis
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of AI and full-stack development, from cricket shot detection to canteen management and WhatsApp chatbots. This breadth of experience suggests adaptability and a willingness to tackle different problem domains. The target role of 'AI Engineer' aligns well with the candidate's stated summary and project work, particularly the recent AI Engineer Trainee role. The combination of AI/ML skills with full-stack capabilities indicates a potential for cross-functional contributions. However, the experience level is low (0 years stated, but 4 months as AI Engineer Trainee), which might impact immediate senior-level cultural integration without further mentorship.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to manage the full product lifecycle, including requirement gathering and UAT, suggesting good operational fit and a structured approach to development. The experience with Agile Scrum ceremonies points to an understanding of collaborative development processes. However, without specific psychometric or English test scores, a detailed assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be provided.