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AI Engineer with less than a year in Machine Learning and Data Analysis.
AI is analyzing your overall score…
Identifying your key strengths…
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.