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AI Engineer with 1+ years in Machine Learning & Deep Learning
AI is analyzing your overall score…
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Assessing your cultural and operational fit
Enthusiastic Machine Learning Engineer skilled in developing predictive and optimization models using Python, Scikit-learn, TensorFlow, and PyTorch. Experienced in building data-driven solutions and fine-tuning deep learning models for real-world applications. Seeking to contribute to software or ML engineering teams through innovation and analytical problem-solving.
INDIAN INSTITUTE OF INFORMATION TECHNOLOGY VADODARA
B-Tech · Computer Science and Engineering
November 1, 2022 – June 1, 2026
NIT Tiruchirappalli
INTERN AT NIT Tiruchirappalli - Machine Learning
May 1, 2025 – Present
Tiruchirappalli, Tamil Nadu, India
AI-Powered Pneumonia Detection from Chest X-Ray Images
June 21, 2026 – Present
Built pneumonia detection AI with 95%+ accuracy using DenseNet121 and TensorFlow on 5,800+ chest X-rays. Implemented explainable AI with Grad-CAM visualization for medical model interpretability. Developed complete ML pipeline with data preprocessing, model training, and comprehensive evaluation. Achieved production-ready performance with precision >96% and recall >94% for clinical applications.
View ProjectSentiment-Analysis using Tweets
June 21, 2026 – Present
Developed a BERT-based transformer model to classify tweets as positive, neutral, or negative. Implemented text preprocessing and data augmentation to improve model robustness. Fine-tuned the model using PyTorch and Hugging Face Transformers with optimized training strategies. Achieved high classification accuracy through early stopping and hyperparameter tuning.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest and practical application in AI/ML, aligning well with an AI Engineer role. The diversity of projects (NLP sentiment analysis, medical image classification) shows a broad interest within the AI domain. The internship experience further solidifies this alignment. The candidate is currently pursuing a B-Tech, indicating a foundational academic background. Involvement in a photography club suggests a well-rounded individual with interests beyond core academics, which can contribute positively to team dynamics. However, the candidate is still early in their career, and their experience is primarily academic/personal project-based.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with a research-oriented team and iterative testing, suggesting an ability to work in a team and focus on continuous improvement. Documentation of project workflows indicates an organized approach. Involvement in a photography club suggests leadership and creative skills, which can be beneficial in problem-solving and innovative thinking. However, without specific psychometric or English test scores, a comprehensive assessment of communication clarity, logical reasoning, work attitude, stress handling, and team collaboration is limited.