About Me
As a data scientist, I bring a strong background in Biomedical Engineering, Data Science, and Software Engineering. With expertise in training AI models for biomedical engineering applications, optimizing performance, an…
As a data scientist, I bring a strong background in Biomedical Engineering, Data Science, and Software Engineering. With expertise in training AI models for biomedical engineering applications, optimizing performance, and fine-tuning models for accuracy, I am well-versed in Python, C#, C++, and R programming languages. My problem-solving skills are exceptional, and I excel in developing comprehensive datasets and implementing feedback mechanisms to enhance AI understanding. Additionally, I have a passion for software engineering, with a focus on designing, developing, and maintaining software systems. With a profound commitment to sustainability and a solid understanding of solar energy systems, I offer a unique perspective. As a data scientist, I am dedicated to leveraging advanced biometrics and AI to transform security solutions, ensuring a highly secure and hack-resistant environment. Joining your team would allow me to play a key role in driving growth and shaping the future with your ground breaking global project.
Experience
Machine learning Intern
- Actively contributed to the development of Ignitus LMS (Learning Management System) during a highly competitive internship, leveraging technical expertise to deliver a cutting-edge solution tailored for the corporate market.
- Collaborated closely with ML-ers, developers, UI/UX designers, and technical writers to drive the implementation of key LMS components, including course management, teaching materials display, self-assessment quizzes, and built-in reporting, resulting in a comprehensive and seamless learning experience for users.
- Employed advanced programming skills to optimize the learner's experience, implementing an intuitive user interface, mobile capabilities, and blended learning features, leading to increased user satisfaction and engagement metrics.
- Assisted in conducting rigorous user surveys and gathering feedback, utilizing analytical thinking to identify pain points and areas for improvement, thus contributing to the continuous enhancement of the Ignitus LMS.
Machine learning engineer Intern
Actively contributed to the development of Ignitus LMS (Learning Management System) during a highly competitive internship, leveraging technical expertise to deliver a cutting-edge solution tailored for the corporate market.
Collaborated closely with ML-ers, developers, UI/UX designers, and technical writers to drive the implementation of key LMS components, including course management, teaching materials display, self-assessment quizzes, and built-in reporting, resulting in a comprehensive and seamless learning experience for users.
Employed advanced programming skills to optimize the learner's experience, implementing an intuitive user interface, mobile capabilities, and blended learning features, leading to increased user satisfaction and engagement metrics.
Assisted in conducting rigorous user surveys and gathering feedback, utilizing analytical thinking to identify pain points and areas for improvement, thus contributing to the continuous enhancement of the Ignitus LMS.
Biomedical Engineer
Managed a process re-engineering project to improve and consolidate end-to-end service processes; restructured communication flow among 10 departments and cut down paperwork by 75%.
Implemented a comprehensive quality control system for a medical device manufacturing process, resulting in a 50% reduction in product defects.
Programmed and designed a device to monitor and regulate temperature inside the pharmacy cold room, providing real-time data analysis of compressor performance to the pharmacist and biomedical engineer, improving medication storage conditions and ensuring compliance with regulatory requirements.
Solar Engineer
Developed expertise in solar energy systems, including the design, installation, and maintenance of solar panels, inverters, and batteries, ensuring optimal energy resource utilization.
Installed solar panels and inverters in numerous client residences, contributing to their energy sustainability.
Successfully installed solar panels and inverters in multiple client residences, reducing their reliance on non-renewable energy sources and providing them with a reliable and sustainable energy solution.
Personally manufactured a 12V sine wave inverter with locally fabricated casing and material.
Machine learning engineer
Developed a comprehensive dataset of biomedical engineering-related questions and answers, enabling effective training of AI models in the domain.
Evaluated and ranked the performance of AI-generated responses in the biomedical engineering domain, ensuring the highest quality and factual accuracy.
Conducted regular model performance analysis and fine-tuning to optimize AI systems for biomedical engineering applications, improving their overall effectiveness.
Implemented feedback mechanisms to capture user input and improve AI models' understanding and response capabilities in the biomedical engineering domain.