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AI Engineer with less than a year in Java, Cloud, and Deep Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven B.Tech Information Technology graduate (2026) with hands-on experience in Java application development, AI/ML model implementation, and Cloud fundamentals. Proven ability to build and deploy end-to-end solutions, manage data pipelines, and support production-quality systems. Experienced in collaborating across teams, maintaining documentation, and ensuring output quality aligned with project standards. Seeking to contribute to Cloud Design, Application Development, and Data Management in a dynamic technology environment.
Sona College of Technology
B.Tech · Information Technology
August 1, 2022 – June 30, 2026
Cheran Matric. Hr. Sec. School
Class XII · Higher Secondary
June 1, 2021 – May 31, 2021
Cheran Matriculation School
Class X · Secondary School
June 1, 2019 – May 31, 2019
Intelligent Residual Feature Mining for Deepfake Content Verification
January 1, 2026 – Present
Architected and implemented an end-to-end AI application covering data collection, preprocessing, feature extraction, and real-time content verification — demonstrating full Application Development lifecycle ownership. Developed a responsive frontend using HTML, CSS, and JavaScript, applying User Experience Design principles to ensure accessible, intuitive interfaces. Implemented real-time admin-alert mechanisms to support system availability and incident response workflows, aligned with Service Level Agreement (SLA) monitoring concepts. Managed complete dataset lifecycle including collection, annotation, and preprocessing – directly supporting Data Management best practices. Maintained detailed technical documentation, research reports, and quality standards throughout all project phases.
Kidney Stone Detection using YOLOv8
January 1, 2026 – Present
Trained, validated, and deployed a YOLOv8 deep learning model for precise stone localization — building production-ready model pipelines with performance evaluation and quality validation. Managed structured data pipelines: dataset collection, annotation, preprocessing, and version tracking — reinforcing Data Management expertise. Designed system architecture for model inference pipeline, integrating input/output data flows with accuracy benchmarks meeting defined quality standards. Produced comprehensive documentation and presentations, ensuring reproducibility and knowledge transfer across team members.
Internet of Things
NPTEL
June 1, 2026 – Present
GPU Computing & AI
NVIDIA
June 1, 2026 – Present
Artificial Intelligence
Infosys Springboard
June 1, 2026 – Present
Angular Certification
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong alignment with AI/ML and application development, which fits well with an AI Engineer role. Their involvement in hackathons and research papers demonstrates initiative and a drive for continuous learning and problem-solving. The breadth of skills across AI, cloud, and frontend development indicates adaptability and a willingness to explore diverse technical areas. However, the lack of professional experience means their cultural fit in a corporate setting is yet to be fully proven.
Soft Skills & Operational Fit
The candidate demonstrates strong documentation and research skills, which are crucial for maintaining project quality and knowledge transfer. Their experience in implementing real-time admin alerts and aligning with SLA monitoring concepts indicates an understanding of operational aspects and system availability. Collaboration in cross-functional teams and active participation in workshops suggest a proactive approach to learning and teamwork.