AI Engineer with less than a year in Machine Learning and Data Analysis.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Computer Science (AI & ML) undergraduate seeking an entry-level opportunity to apply skills in Machine Learning, Data Analysis, and software development to build efficient and scalable solutions.
Sri Venkateshwara College of Engineering
B.Tech · Computer Science (AI & ML)
August 1, 2022 – June 30, 2026
Board of Intermediate Education, Andhra Pradesh
Intermediate · MPC
June 1, 2020 – May 31, 2022
Board of Secondary Education, Andhra Pradesh
SSC · 10th Class
June 1, 2019 – May 31, 2020
APSCHE & SmartBridge
AI/ML Intern
June 1, 2025 – July 1, 2025
India
ByteXL
Competitive Programming Intern
May 1, 2025 – July 1, 2025
India
Multi-Agent Traffic Signal Control using Deep Reinforcement Learning
January 1, 2025 – December 31, 2025
Developed a Multi-Agent Deep Reinforcement Learning system for traffic optimization. Reduced vehicle waiting time by 30% using adaptive signal control. Designed state, action, and reward mechanisms for dynamic environments.
Credit Card Fraud Detection
January 1, 2024 – December 31, 2024
Built ML model with 95% accuracy and reduced false positives. Applied feature engineering and SMOTE for data balancing. Compared Random Forest and XGBoost models.
Rice Type Classification using CNN (MobileNet)
January 1, 2024 – December 31, 2024
Built CNN model achieving 95%+ accuracy. Improved preprocessing pipeline for better performance. Developed interface for real-time predictions.
AWS Cloud Foundations
AWS Academy
June 1, 2026 – Present
AI Associate
Salesforce
June 1, 2026 – Present
IBM AI Fundamentals
IBM SkillsBuild
June 1, 2026 – Present
SQL & Python Certification
IBM (edX)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest and capability in diverse AI/ML applications, from traffic control to image classification and fraud detection. This breadth of interest aligns well with an innovative and problem-solving culture. The pursuit of multiple certifications (Salesforce AI, AWS, IBM AI, SQL & Python) indicates a self-driven and continuous learning mindset, which is a positive cultural fit for a rapidly evolving field like AI. The competitive programming background suggests a drive for efficiency and optimization. However, the resume lacks information on collaborative projects or roles that would explicitly demonstrate team-oriented cultural fit.
Soft Skills & Operational Fit
The candidate's resume highlights a motivated individual with a strong academic record and a clear objective to apply AI/ML skills. Project descriptions indicate an ability to work on complex problems and achieve measurable results (e.g., 30% reduction in waiting time, 95%+ accuracy). The competitive programming internship suggests strong problem-solving and coding efficiency. However, the resume does not provide explicit details on teamwork, leadership, or communication in a professional setting, which are crucial for senior roles. The operational fit for an entry-level AI Engineer role is good given the technical skills and project experience, but the 'experienceLevel' is 0, indicating a fresh graduate, which needs to be considered for a 'senior' evaluation.