• Research adversarial machine learning attacks and defenses on autonomous vehicle perception systems, specializing in camera and LiDAR sensor vulnerabilities to enhance robustness and security.

• Designing and optimizing deep learning architectures for real-time adversarial attack detection, utilizing Python, PyTorch,

TensorFlow, and OpenCV to improve detection accuracy and computational efficiency.

• Developing automated data pipelines and experimental frameworks for large-scale model evaluation, integrating statistical analysis and visualization techniques for research documentation and academic publications.

• Developed and maintained AI-driven backend systems for Cortex AI using Python and Django and optimized data pipelines for ML workflows.

• Designed and documented 500+ RESTful APIs using Swagger for Deloitte Ascend CRM platform, implemented malware detection for document uploads, and ensured secure API integrations.

• Optimized MySQL and MongoDB database performance, automated data processing pipelines, and contributed to Ascend CRM development using NodeJS, ReactJS, and ASP.Net.

• Collaborated with QA to address software defects and built data pipelines for financial client onboarding on Cortex AI.

• Integrated US bank API to optimize transaction processing, reducing client time by 28%, and implemented fraud detection algorithms, decreasing fraudulent claims by 38%.

• Diagnosed and resolved memory leaks and performance issues using profiling tools, optimizing backend services in Python (Flask/Django) for scalability.

• Developed and enhanced system features while implementing data validation, anomaly detection, and API security measures to improve transactional integrity.

• Built and deployed Python (Django) microservices for a cloud-based vaccination capacity planning system, improving scalability and efficiency.

• Designed and optimized data pipelines for real-time analytics, integrating ML-driven forecasting for medication demand prediction.

• Developed and deployed interactive data visualization dashboards using Python, SQL, and AWS while implementing Agile methodologies, GitHub for version control, and Travis CI for continuous integration.