• Built SDFGen to convert LiDAR point clouds and reconstructed aircraft models into SDFs (signed distance fields) maps.

• Developed sdfgen_live (ROS) to integrate live LiDAR/rosbag data during flight and publish an SDF map for online planners while supporting initialization from prior maps for faster startup.

• Validated with static reconstructed aircraft models (B747/B777), flight rosbags, and hardware-in-the-loop on a DJI M300 and achieved 2 Hz SDF generation onboard.

Languages and tools used: C++, ROS

• Engineered AWS-based data-infra (Nextflow, Docker, Terraform) to process and ingest 30–100 GB of biomedical datasets, per day.

• Trained and deployed BERT-based (BioBERT) embedding models for named-entity normalization (NEN) tasks on biomedical text.

• Automated daily data ingestion from multiple databanks and built tools for monitoring, validation and actionable alerts.

Languages and tools used: Python, PyTorch, Docker, Terraform, AWS cloud services