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AI Engineer with less than a year in Python, Machine Learning & Cloud Computing
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AI Engineer with hands-on experience in Python, leveraging libraries like NumPy, Pandas, and Matplotlib for data analysis. Proficient in developing web solutions with Java and integrating backend logic with databases. Demonstrates strong problem-solving skills and experience in deploying scalable web solutions. Possesses a solid academic foundation in Computer Science with a specialization in AI & ML, coupled with practical project experience in CPU autoscaling, soccer match prediction, and image forgery detection using advanced machine learning techniques.
Vardhaman college of engineering
Bachelor of Engineering · Computer Science(AI&ML)
August 1, 2021 – May 1, 2025
Teegala Krishna Reddy Engineering College
Diploma · Computer Managing Engineering
August 1, 2019 – May 1, 2022
National Small Industry Corporation
Python/Java Intern
December 1, 2021 – May 1, 2022
India
Image Forgery Detection Using CNN
June 18, 2026 – Present
Pioneered the development of an advanced machine learning model utilizing artificial neural networks to detect intricate image forgeries. This ambitious project encompassed comprehensive stages of data preprocessing, meticulous model selection, rigorous training, and thorough evaluation. Collaborating as a dedicated team, the endeavor of developing and extensively testing the model across a multitude of datasets to attain exceptional accuracy proved to be an immensely challenging and rewarding task.
Adaptive CPU Autoscaling using Transformer-LSTM and PPO
June 18, 2026 – Present
Developed a dynamic CPU management system using Transformer-LSTM for workload prediction and Proximal Policy Optimization (PPO) for intelligent autoscaling. Collected real-time CPU metrics on Google Cloud Platform (GCP) and deployed the model for live monitoring. Integrated a Flask API for real-time predictions and system adjustments. Achieved 95% prediction accuracy and improved efficiency by 28% over traditional static allocation methods.
View ProjectSoccer Match Predictor
June 18, 2026 – Present
This project encompasses data preprocessing, model selection, training, and evaluation stages. As a team, a machine learning model was developed to predict the winner of a soccer match, using a dataset based on previous statistics and various attributes for training. The model was trained using Long Short-Term Memory (LSTM), a type of recurrent neural network (RNN). As a result, the model achieved higher accuracy compared to other datasets and algorithms.
View ProjectIntroduction to AI,DL,Data Science,NLP,Computervision,RPA,Time management.
Infosys Springboard
August 1, 2024 – Present
Job Ready Employibility Skills
Wadhwani foundation
May 1, 2024 – Present
Introduction to Ethical Hacking.
Great Learning Certified
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in diverse AI/ML applications, from system optimization to predictive modeling and computer vision. The internship experience, though brief, shows exposure to both Python and Java development, indicating adaptability. The certifications, including ethical hacking, suggest a broad curiosity. However, the lack of professional experience beyond a single internship and the academic nature of projects mean that cultural fit in a corporate, fast-paced environment is largely unproven. The candidate's profile suggests a strong foundation for a junior AI Engineer role, but senior-level cultural fit cannot be fully assessed.
Soft Skills & Operational Fit
The candidate's project descriptions highlight teamwork and problem-solving skills. The 'Job Ready Employability Skills' certification suggests an awareness of professional conduct. However, without direct interview data or psychometric test results, a comprehensive assessment of operational fit and soft skills is limited. The candidate is still pursuing a Bachelor's degree, indicating a learning-oriented mindset.