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AI Engineer with less than a year in Python, Deep Learning, and Data Analytics.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Passionate Computer Science student seeking an entry-level opportunity to build a strong career in the IT industry.
Annamacharya Institute of Technology & Sciences, Kadapa
B.Tech, CSE (AI & ML) · Computer Science Engineering with AI & ML
August 1, 2022 – June 30, 2026
Narayana Junior College, Anantapur
Intermediate (MPC) · Mathematics, Physics, Chemistry
June 1, 2020 – May 31, 2022
Golden Bells English Medium School, Kalyanadurgam
SSC (10th Class)
June 1, 2019 – May 31, 2020
Tableau Public
Data Analytics with Tableau
January 1, 2026 – Present
India
Smart Menu System
January 1, 2026 – Present
Developed a restaurant menu and billing system with Admin and Customer modules. Implemented CRUD operations and automated bill generation using MySQL.
Robust Seizure Prediction Model Using EEG Signals for Temporal Lobe Epilepsy Leveraging Deep Learning and Continual Learning
January 1, 2026 – Present
Developed a seizure prediction model using EEG signals for epilepsy detection. Applied deep learning and continual learning techniques to improve prediction accuracy.
Civil Engineering Insight Studio
January 1, 2026 – Present
Developed an AI-based platform for civil engineering structure analysis and insights. Integrated image analysis and visualization features using Streamlit and Generative AI.
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in AI applications, from medical (seizure prediction) to civil engineering analysis and general business systems. This breadth of interest could indicate adaptability. However, the lack of professional experience or team-based project descriptions makes it difficult to fully assess cultural fit beyond academic settings. The target role of AI Engineer aligns well with the candidate's academic specialization and project focus.
Soft Skills & Operational Fit
The candidate lists teamwork, communication, adaptability, and time management as soft skills. While these are valuable, there is no assessment data to validate their proficiency in these areas. The candidate's experience level is 0, indicating an entry-level profile, which aligns with the 'Passionate Computer Science student seeking an entry-level opportunity' career objective.