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Testing and Control systems automation

Oct 2025 - Nov 2025 (2 months)

As a Testing and Control Systems Automation specialist, I developed distributed system-based testing automation scripts for IoT and embedded systems, ensuring comprehensive coverage of edge cases. I integrated advanced AI technologies, including GPT-3 and Llama 4, into control systems and unit testing processes by effectively exchanging datasheets and reports. Additionally, I built lightweight TypeScript-based tooling to monitor test results and facilitate interaction with automation workflows through web interfaces, enhancing the overall efficiency and usability of the testing environment. My expertise in embedded systems, control systems, unit testing, and software development has been instrumental in driving innovation and reliability in

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Piclines – Gen AI – powered Poetry App

Jun 2025 - Jul 2025 (2 months)

Designed, built and launched solo – A poetry app that returns the card based on the live picture captured.Added language option, and feedbacked with Designers-Developers, capturing with the live moment.

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Campus GreenMap

Apr 2025 - May 2025 (2 months)

Built & launched a tree-mapping platform from 0→1, acquiring 2,000+ users in week 1.Designed using graph algorithm + Firebase. Under review for official adoption by the university.

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LinkedIn Network iterator

Apr 2025 - May 2025 (2 months)

As a LinkedIn Network Iterator, I pre-processed data using distributed data processing techniques and developed an application to monitor my network of 910 profiles. I applied clustering algorithms based on ranks, mutual connections, and organizations, ensuring a responsive web design with low-latency performance. Additionally, I implemented the user-facing interface and data interactions using TypeScript, which facilitated structured data handling and enhanced the responsiveness of the user interface, ultimately improving the overall user experience.

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Carpooling platform

Jan 2025 - Mar 2025 (3 months)

- Designed an Uber-like carpooling app, incorporating advanced traffic simulations and map algorithms while successfully cloning Uber's UI/UX using Figma. Implemented multi-threaded real-time matching capabilities, ensuring robust test coverage and optimizing performance for over 1,000 concurrent users. Additionally, utilized TypeScript in the frontend to effectively manage state, facilitate API calls, and ensure seamless real-time updates between users and backend services, enhancing the overall user experience and application reliability.

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Data science and ML projects

Apr 2024 - Sep 2024 (6 months)

As a professional in Data Science and Machine Learning projects, I designed and deployed comprehensive Machine Learning pipelines within full-stack software and embedded systems. My recent work involved performance analytics for the Formula 1 Spanish Grand Prix Race Day, utilizing tools such as Colab and FastAPI to deliver actionable insights. Additionally, I integrated frontend dashboards and API functionalities, employing TypeScript to effectively visualize model outputs and facilitate seamless interaction with backend services, thereby enhancing user experience and data accessibility.

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