Deep Raval Email & Phone Number

Toronto, Ontario, Canada

Fusion Automation Platform

Montreal, Quebec, Canada

• 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.

Montreal, Quebec, Canada

• 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.

Montreal, Quebec, Canada

• 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.

Ahmedabad, Gujarat, India

• 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.

Ahmedabad, Gujarat, India

• 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

Bengaluru, Karnataka, India

• 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.

Varanasi, Uttar Pradesh, India

• 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.

Master'S Degree, Applied Computer Science (Co-Op), 3.76 / 4.3

Bachelor Of Engineering - Be, Information And Communication Technology, 9.79 / 10

High School, Physics, 90%