• Collaborating closely with Engineers to enhance the code efficiency of the existing codebase, which serves as the Autonomous Vehicle Software Stack for a US-based Autonomous Vehicle technology company, per specified policies. • Developing robust utility functions and implementing necessary upgrades to C++14/17 standards; utilizing Bazel in Linux to build and test the codebase. • Enhancing the code coverage by developing relevant tests using GoogleTest, aiming for 100% Line Coverage and above 90% MC/DC Coverage, validating through LCOV and Parasoft to ensure compliance with ISO 26262 standards. • Improving the code readability and maintainability by reducing cyclomatic complexity to below 15 and lowering the AUTOSAR static violations by 95%. • Interdepartmental collaboration with Engineers and Program Managers in developing ADAS and L1/L2 autonomy solutions for Marine applications for a US-based recreational marine company. • Researched and conducted a comprehensive sensor analysis for Automated Docking, Object Avoidance, Below-Water Sensing, and Human and Marine Object Detection; drafted and designed robust pipelines incorporating LiDARs, Marine RADARs, Cameras, and SONAR sensors.

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• Cross-collaboration with CEO, Developers, and UI/UX Designers for product features development. • Enhanced the existing approach in information extraction related to local brick and mortar businesses by 100% with the integration of REST API in Python. • Researched and developed a Hybrid Recommendation System: integrating Collaborative Filtering and Content-based Filtering techniques using Python, Scikit-Learn, TensorFlow, and PostgreSQL to allow end-users to have a personalized dashboard. • Collaborated with CTO in revamping the existing pipeline for inventory management using Computer Vision techniques, OCR (Optical Character Recognition), Python, C++, and OpenCV.

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• Beta test all the upcoming content and projects related to Computer Science – Machine Learning, Deep Learning, Computer Vision. • Provide feedback, suggestions, and bug-fix.

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• Cross-collaboration with CEO, Developers, and UI/UX Designers for product features development. • Enhanced the existing approach in information extraction related to local brick and mortar businesses by 100% with the integration of REST API in Python. • Researched and developed a Hybrid Recommendation System: integrating Collaborative Filtering and Content-based Filtering techniques using Python, Scikit-Learn, TensorFlow, and PostgreSQL to allow end-users to have a personalized dashboard. • Collaborated with CTO in revamping the existing pipeline for inventory management using Computer Vision techniques, OCR (Optical Character Recognition), Python, C++, and OpenCV.

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• Trained, surveyed, and rotated throughout various departments at a utility company to prepare for entry-level implementation of routine electrical tasks across the organization, including the switchyard. • Collaborated with a team of six engineers and eight workers to execute routine inspection and maintenance of 665 KW Induction Motors for the prevention of mechanical damage.

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