Dec 2024 – May 2025 · 5 mos

• Developed a cybersecurity benchmarking application to assess organizations' maturity levels, identify threats, analyze current gaps, and recommend measures to address those gaps.
• Designed and implemented authorization, RBAC (Role-Based Access Control), and benchmarking logic using the Django framework and Python to ensure secure access and accurate reporting.
• Led a team of 3 backend developers, conducting frequent code reviews and providing technical guidance to ensure high-quality deliverables.
• Ensured the application’s scalability and performance by deploying it on AWS and integrating with PostgreSQL for robust data storage.

Nov 2023 – Dec 2024 · 1 yr 1 mo

• Analyzed and understood a monolithic legacy codebase in Spring Boot to enhance an existing feature, optimizing the Quick Links retrieval feature, reducing runtime, and improving code maintainability.
• Refactored the feature into a separate entity, improving modularity and reusability, and integrated it into a new microservices-based application.
• Recognized and identified PII/PHI data across 3 databases with approximately 2,000 columns each, implementing tokenization and encryption to protect sensitive data and ensure confidentiality.

Sep 2022 – Nov 2023 · 1 yr 2 mos

• Used Carla Simulation to simulate real-time crash scenarios using Python scripts and tested them against the Autoware AD Stack to validate functionality.
• Generated a synthetic dataset for autonomous vehicle models, creating around 100k images with annotations for semantic segmentation and instance segmentation.
• Optimized bounding box mapping logic using OpenCV, reducing processing time from 20 seconds to 1 second, which significantly cut dataset upload time (~50K samples) to S3 from 20 hours to 2 hours.
• Trained models using the simulated data, proving its effectiveness by achieving improved accuracy compared to real-world data due to the diverse nature of the synthetic dataset.
• Streamlined the dataset generation pipeline using Jenkins and AWS, reducing the cost and time of data collection for autonomous vehicle training.

Mar 2022 – Sep 2022 · 6 mos