Software Development Engineer Intern
During my tenure as a Software Development Engineer Intern, I worked on deep learning and data engineering projects, building robust ML pipelines and deploying production-level code. Responsibilities included optimizing inference time, writing production code in Python, and developing real-time microservices for embedded system integration. I contributed to the advancement of object detection models and enhanced memory efficiency for large-scale data processing. • Designed, trained, and optimized deep LSTM models with PyTorch for real-time radar signal classification • Built efficient preprocessing pipelines using generator-based streaming and applied augmentation to improve model generalization • Reduced model inference time by 30% using quantization and ONNX export, and wrote comprehensive unit/integration tests • Developed FastAPI microservice for model serving with Pydantic schemas and async endpoints