AI Engineer with 1+ years in Machine Learning & Deep Learning
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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
Sentiment-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 ProjectAI-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 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.