Rahul Mohan

Experience

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  PVR Limited

  Jul 2017 - Sept 2017

  Analyst Internship
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  QA InfoTech - Your Software Testing Partner

  Jun 2018 - Feb 2020

  Software Testing Engineer

  1. Developed comprehensive test cases that covered a wide range of scenarios for Software Applications and Websites, including many prestigious clients and ensuring thorough testing of their functionality.2. Meticulously verified test cases against software requirements and specifications, guaranteeing that the software met the intended functionality and performance criteria.3. Played a crucial role in maintaining software quality by actively identifying and documenting bugs and issues using industry-standard tools like Jira, enabling swift resolution and improvements in software reliability.4. Conducted thorough regression testing to ensure that previously identified issues were resolved without introducing new defects, thus enhancing the overall stability of the software.5. Applied keen focus on detail and creativity in performing ad hoc testing, simulating real-world user interactions and uncovering hidden issues, improving the robustness of software applications.6. Worked on client projects and also contributed significantly to the testing of internal projects within the company, reinforcing the commitment to quality across all domains. Show less

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  Guru Gobind Singh Indraprastha University

  Aug 2021 - now

  Student
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  Alpha Design Technologies

  Dec 2021 - Sept 2022

  System Engineer

  1. Collaborated on the development of cutting-edge human detection, vehicle detection, and object detection capabilities for Unmanned Aerial Vehicles (UAVs), marking a significant advancement in UAV technology.2. Leveraged Python programming to implement complex computer vision algorithms, demonstrating a deep understanding of the language and its libraries in the context of computer vision.3. Demonstrated exceptional dedication by curating a unique dataset consisting of more than 20,000 images, crucial for training and fine-tuning machine learning models, which was a pivotal contribution to the project's success.4. Utilised this extensive dataset to train machine learning models, ensuring high accuracy and robustness in detection tasks, a critical aspect of improving UAV performance.5. Successfully implemented and tested models using the Darknet YOLOv4 architecture, which achieved impressive accuracy levels exceeding 80 percent, demonstrating technical prowess and innovation in computer vision. Show less

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  Indian Council for Cultural Relations (ICCR)

  Feb 2024 - now

  IT Consultant