• Co-authored with Dr. Noor Hashim.• Built real-time data pipelines with Kafka & Spark for 150k+ Glassdoor companies reviews for incidents evaluation.• Developed NLP normalization algorithm with token-based learning, achieving high-accuracy database alignment.

• Developed fraud detection models with TensorFlow, applying machine learning CNNs for pattern recognition and RNNs for sequence analysis on 200+ US government entries, boosting prediction accuracy.• Ensured model fairness and transparency by utilizing AI Fairness 360 and the What-If Tool to audit for bias, and implemented LIME/ SHAP methodologies to interpret model decisions to pitch stakeholder trust in AI systems.

• Optimized budget feature new hyper-parameter tuning XGBoost model increasing 20% customer dashboard traffic.• Wrote comprehensive unit tests in Jest for budget calculator component to achieve 80% code coverage.• Enhanced API integration with Plaid by optimizing request/response handling, robust error handling, retry mechanisms, and data validation, cutting synchronization issue by 25%.• Presented technical achievements and product outcomes to Budget Referee’s CEO and other leadership team, securing approval and deployment of admin page features successfully exceeding project goals.

• Led first ever Alumni Outreach Initiative with 500+ Google Form responses for BILT(Business,Innovation,Leadership, and Technology) community, connecting with graduates and facilitating knowledge transfer.• Conducted 10+ in-depth alumni interviews & published weekly blog industry insights content for current students.

• Refined and managed the conference center website, utilizing WordPress, HTML, CSS, jQuery, integrated chat bot (ChatGPT v-3) with LangFlow to simplify booking processes, resulting in a 30% boost in customer bookings.• Utilized data analytics and targeted strategies to track social media performance, resulting in a 1000+ user engagement and visibility.