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.
<p>Defined AI-powered mood-based content recommendation features for Moodflix, applying NLP and sentiment analysis concepts to product decisions; launched on Product Hunt.<br>
Conducted 50+ user interviews.<br>
Translated behavioral insights into PRDs and user stories for ML-driven mood-classification and personalized content discovery pipelines.<br>
Analyzed engagement metrics.<br>
Applied A/B testing principles to recommend UX optimizations, reducing user friction by ~20%.</p>
<p>Managed timelines, deliverables, and resource coordination for enterprise client engagements.<br>
Maintained status reports.<br>
Facilitated cross-functional stakeholder communication.<br>
Handled Priority 3/4 production incidents via Service Now.<br>
Performed root cause analysis on memory utilization and infrastructure stability issues.<br>
Ensured SLA compliance.</p>
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