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Full Stack AI Engineer with less than a year in Deep Learning & Spring Boot
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic B.Tech graduate with strong foundation in Java, Python, Machine Learning, and Spring Boot. Experienced in developing full-stack applications and deep learning projects. Certified in cloud technologies and eager to build scalable software solutions.
KL University
B.Tech
August 1, 2021 – June 30, 2025
Narayana Junior College
Intermediate
June 1, 2019 – May 31, 2021
B V S High School
SSC
June 1, 2018 – May 31, 2019
Tessolve
AIML Virtual Internship
December 1, 2025 – June 1, 2026
India
Image Captioning Using Deep Learning
January 1, 2024 – January 1, 2025
Developed Encoder–Decoder model using CNN and RNN/GRU. Implemented attention mechanism for better accuracy. Trained on MS COCO dataset and optimized performance.
Online Voting System
January 1, 2023 – January 1, 2024
Built full-stack web application using Java, Spring Boot, MySQL. Implemented secure authentication and role-based access. Developed REST APIs and ensured system security.
TensorFlow Developer Certificate
TensorFlow
June 1, 2026 – Present
Oracle Cloud Infrastructure Certified Architect Associate
Oracle
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a willingness to tackle diverse technical challenges, from AI/ML to full-stack web development. The virtual internship and certifications show a proactive approach to learning and skill acquisition. However, with limited professional experience, the depth of cultural fit in a team environment cannot be fully assessed. The projects are academic, which might not fully reflect industry best practices or collaborative development workflows.
Soft Skills & Operational Fit
The candidate lists problem-solving, team collaboration, time management, communication, and leadership as soft skills. While these are valuable, there is no assessment data to validate their operational fit or practical application in a professional setting. The candidate's experience level is 0, indicating a lack of real-world operational exposure.