Responsibilities include:

• Co-authored a CVPR-submitted paper on mitigating data exploitation risks in deep learning, targeting real-world impact, and reaching 10,000+ professionals.
• Designed a novel defense method using diffusion autoencoders to secure DL models against data exploitation, processing 100,000+ data points to encode latent representations and obscure data patterns effectively.
• Achieved a 60% reduction in model vulnerability, significantly enhancing security and resilience against data extraction and reverse-engineering attacks such as adversarial training.

Responsibilities include:

• Maintained 99.9% uptime for critical Oracle databases managing over 3M GSM critical records by implementing optimization techniques and automating daily backups with bash and Python scripts across multiple servers.
• Implemented a distributed ETL pipeline using Apache Airflow and Python, optimizing data ingestion and transformation processes to handle 1TB of daily data with 30% faster processing times.
• Optimized product deployment pipelines, cutting deployment time by 50% and operational downtime by 30%.

Responsibilities include:

• Led and built a 93%-accurate Turkish sentiment model (BERT, PyTorch) to detect rude retailers on an e-commerce platform, processing 50,000+ customer-retailer interactions and reducing complaint calls by 50% - generated $200,000 revenue for the company.
• Engineered a Python web scraper to automate customer complaint collection from 10+ sources, reducing manual data efforts by 60% and improving insights on production errors.
• Enhanced a chatbot with deep learning and IBM Watson, boosting user engagement by 20%, customer satisfaction by 15%, and adding $80,000 in projected revenue.

Responsibilities include:

• Developed a customer churn analysis web application leveraging to identify and retain at-risk clients. Enabled the bank to recover 10% of potential churners, resulting in improved retention for over 1,500 accounts.
• Designed interactive data visualization dashboards with Python (Dash/Plotly) to provide real-time insights into customer behavior trends, empowering stakeholders to make timely decisions.
• Conducted A/B testing on retention strategies, analyzing campaign effectiveness and recommending adjustments that increased customer engagement rates by 12%.