Fusion Automation Platform

• Implemented new endpoints using FastAPI for model deployment and deletion, reducing model deployment/deletion time by 40%.• Developed front-end components using ReactJS and Redux to enable chat functionality, model parameter configuration, deployment status tracking, and deployment workflow management.• Wrote unit and integration tests using Pytest for a previously untested Python package, achieving a test coverage of 96%, and seamlessly integrated them into the CI/CD pipeline.

• Automated ingestion of asset group IPs and credentials into third-party SaasDR platform using Python, eliminating manual processes and streamlining execution.• Engineered a Python-based orchestrator, driven by a YAML configuration, to automate script execution in a specified order, simplifying the management of dependent scripts.• Contributed to the successful migration of a Python 3.7 repository to Python 3.10, Updating scripts for compatibility and ensuring a seamless transition to the new Python version.

• Developed a highly efficient testing framework for a middleware microservice using Python and gRPC.• Incorporated key features, such as a CLI, multithreaded audio streaming support, timeout management for audio channels, mocking capabilities for other microservices, and real-world testing capabilities.• Converted 30% of existing MRCP-based testing scripts into Python scripts using this framework.

• Designed, developed, and managed API endpoints utilizing Flask for authentication, configuration, and asynchronous data serving across multiple full-stack projects.• Improved API performance through optimization techniques such as indexing, caching, and lazy data loading, resulting in a 25% reduction in response time.• Improved existing components by resolving bugs and developed new components from scratch to implement various functionalities using ReactJS.

• Developed Python data collection scripts with checkpoint mechanisms and multithreading capabilities.• Crafted data dashboards featuring interactive visualizations, including pie charts, tables, and bar graphs, using JavaScript, Apache ECharts, and DataTables

• Researched and explored SV2TTS, Tacotron, and WaveNet technologies, gaining an understanding of their architectures.• Developed a Python based CLI script utilizing SV2TTS for voice synthesis, incorporating a feature for synthesizing longer texts with specified synthesis chunks.

• Prepared and preprocessed a time-series dataset containing 5000+ samples of diverse sensor values using Python.• Achieved 89.51% accuracy by conducting rigorous experiments with models based on LSTM, GRU, Bidirectional LSTM, and ConvLSTM architectures using Tensorflow.