AI Engineer with less than a year in Machine Learning & Data Analysis
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Versatile AI Engineer, Data Analyst, and Software Developer with a strong academic foundation (8.17 CGPA). Experienced in architecting high-accuracy predictive models, robust backend processing pipelines, and highly responsive web user interfaces. Expert at structuring automated data pipelines, data modeling, and dashboards using Excel, SQL, Pandas, and NumPy. Skilled in executing full-stack application deployments, version control workflows, and automation utilizing n8n tools.
Sagi Rama Krishnam Raju Engineering College
B.Tech · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
IIDT
Machine Learning Intern
June 1, 2024 – July 31, 2024
Tirupati, Andhra Pradesh, India
Car Price Prediction System
January 1, 2026 – Present
Formulated an end-to-end ML regression model to estimate used vehicle market values utilizing historical automotive marketplace datasets. Evaluated and benchmarked Linear Regression models alongside ensemble Random Forest algorithm variations to pinpoint optimal training performance. Quantified error metric boundaries through explicit evaluation of R-squared and RMSE parameters to minimize data variance by 12%.
Quantum ML for Certificate Forgery Detection
January 1, 2025 – January 1, 2026
Architected a hybrid Classical-Quantum Machine Learning system for secure academic certificate verification via image-based profiling and verification. Preprocessed image dimensionality using Principal Component Analysis (PCA) to downscale images and established traditional classical SVM baselines. Designed a Quantum Support Vector Machine (QSVM) utilizing PennyLane for complex quantum feature mapping and custom quantum kernel operations. Attained an outstanding 97.30% system verification accuracy rate, significantly outperforming classical baseline variations which topped at 89.19%.
Web Developer Certificate
Infosys
January 1, 2025 – Present
HackerRank SQL Basic
HackerRank
January 1, 2025 – Present
Prajwalan Participation Certificate
Unknown
January 1, 2024 – Present
HackerRank Python Basic
HackerRank
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse interest in AI/ML applications, from certificate forgery detection to car price prediction and sports outcome forecasting. This breadth of application, coupled with an academic background in AI and Data Science, suggests a strong alignment with an AI Engineer role. The inclusion of web development skills and certifications also indicates a willingness to explore different technical areas, which can be beneficial for cross-functional collaboration. However, the experience is primarily academic and internship-based, which might require more structured mentorship in a professional setting.
Soft Skills & Operational Fit
The candidate lists Analytical Problem-Solving, Agile Adaptability, Cross-functional Team Collaboration, Technical Patience, and Communication as soft skills. These are generally positive for operational fit, indicating an awareness of collaborative and problem-solving aspects of engineering roles. However, these are self-reported and not validated by assessment data.