Final-year B.E. student specializing in artificial intelligence and machine learning (CGPA: 8.2) with strong hands-on experience in machine learning, deep learning, natural language processing, and data analysis. Profici…
Final-year B.E. student specializing in artificial intelligence and machine learning (CGPA: 8.2) with strong hands-on experience in machine learning, deep learning, natural language processing, and data analysis. Proficient in Python and frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experienced in building ML-powered applications, implementing predictive models, and working with real-world datasets. Demonstrated ability to collaborate in cross-functional teams and contribute to AI-driven product features. Passionate about leveraging data-driven solutions to solve complex problems and eager to begin a career in AI/ML, software development, or product-focused roles.
Defined AI-powered mood-based content recommendation features for Moodflix, applying NLP and sentiment analysis concepts to product decisions; launched on Product Hunt.
Conducted 50+ user interviews.
Translated behavioral insights into PRDs and user stories for ML-driven mood-classification and personalized content discovery pipelines.
Analyzed engagement metrics.
Applied A/B testing principles to recommend UX optimizations, reducing user friction by ~20%.
Managed timelines, deliverables, and resource coordination for enterprise client engagements.
Maintained status reports.
Facilitated cross-functional stakeholder communication.
Handled Priority 3/4 production incidents via Service Now.
Performed root cause analysis on memory utilization and infrastructure stability issues.
Ensured SLA compliance.
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