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AI Engineer with less than a year in Data Science & Machine Learning
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 Machine Learning Engineer with a strong foundation in data analysis, algorithm development, and predictive modeling. Experienced in building and deploying end-to-end ML pipelines, optimizing model performance, and leveraging large datasets to drive actionable insights. Proficient in Python, TensorFlow, PyTorch, and scikit-learn. Skilled in deep learning frameworks, NLP, computer vision, and data visualization tools to deliver impactful AI solutions.
TKR College of Engineering & Technology
Master of Technology · Computer Science Engineering
January 1, 2022 – January 1, 2024
TRR College of Engineering & Technology
Bachelor of Technology · Computer Science Engineering
January 1, 2018 – January 1, 2022
NextIn Era
Data Science & AI Intern
January 1, 2026 – Present
Hyderābād, Telangana, India
Plant Disease Detection using Computer Vision
January 1, 2023 – January 1, 2024
Built a CNN-based image classification model to detect plant diseases from leaf images using Kaggle datasets. Applied data augmentation, transfer learning, and hyperparameter tuning to achieve improved model accuracy. Technologies used: Python, TensorFlow, Keras, OpenCV, NumPy, Matplotlib.
Kaggle Competition Participation - AI & Data Science Challenges
January 1, 2023 – January 1, 2024
Competed in multiple AI/ML challenges, applying supervised and unsupervised learning techniques to structured and unstructured data. Gained experience with feature engineering, cross-validation, ensemble methods, and model interpretability.
Data Science & Artificial Intelligence Internship
NextIn Era
June 1, 2026 – Present
Kaggle Competitions - Machine Learning & Data Science tracks
Kaggle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship focus heavily on AI/ML, aligning well with an AI Engineer role. Participation in Kaggle competitions and a diverse set of AI domains (CV, NLP, Time Series) indicate a breadth of interest and a proactive learning attitude. The experience is primarily academic and internship-based, which suggests a strong foundational fit for an entry-level or junior AI Engineer role, but may require mentorship for more complex, production-level systems.
Soft Skills & Operational Fit
The candidate lists problem-solving, critical thinking, communication, teamwork, and adaptability as soft skills. The project descriptions and internship experience suggest an ability to collaborate and apply problem-solving in practical scenarios. However, without specific behavioral assessment data, the depth of these soft skills cannot be fully evaluated.