PPParin Pipake
@parinpipake
Machine Learning Engineer passionate about AI-driven solutions.
United KingdomWhat I'm looking for
I am a dedicated Machine Learning Engineer with a strong background in developing innovative AI solutions that drive business success. At M Intelligence, I engineered a recommendation system that boosted customer engagement by 50% and created a customer segmentation model that identified key user segments for strategic initiatives. My experience in optimizing ML pipelines on GCP has significantly reduced latency and improved system performance, showcasing my ability to deliver impactful results.
In my previous role at Mu Space, I honed my skills as a Software Engineer, implementing algorithms for sensor data fusion and deploying real-time telemetry APIs. My projects, including the AI Product Analyzer and AI Business Insights Dashboard, reflect my commitment to leveraging cutting-edge technology to create user-friendly applications that enhance decision-making processes. I thrive in collaborative environments and am passionate about translating complex data into actionable insights.
Experience
Work history, roles, and key accomplishments
SEAI Business Insights Dashboard
Self Employed
Feb 2023 - Present (2 years 5 months)
Architected an ML pipeline on GCP to identify key sales performance drivers. Created an interactive UI for translating ML outputs into actionable insights for business users.
SEAI Product Analyzer
Self Employed
Mar 2023 - Present (2 years 4 months)
Built a multimodal AI system for transforming product images and videos into descriptive content. Integrated multiple LLMs to enhance performance and streamline model orchestration.
Machine Learning Engineer
M Intelligence
Jul 2022 - Nov 2023 (1 year 4 months)
Engineered a recommendation system using NLP techniques, increasing customer click-through rate by 50%. Developed customer segmentation models and optimized ML pipelines on GCP, enhancing system performance and reducing latency.
Software Engineer
Mu Space
Sep 2021 - Jun 2022 (9 months)
Implemented algorithms for sensor data fusion and deployed API endpoints for real-time satellite telemetry. Created software architecture for data processing systems, improving efficiency significantly.
Education
Degrees, certifications, and relevant coursework
UNUniversity of Nottingham
Master of Science, Financial Technology
2023 - 2024
Grade: Distinction
Pursuing a Master of Science in Financial Technology with a focus on the intersection of finance and technology, aiming to develop innovative solutions for financial services.
CUChulalongkorn University
Bachelor of Science, Aerospace Engineering
2014 - 2018
Grade: GPAX 3.12/4.00
Completed a Bachelor of Science in Aerospace Engineering, gaining knowledge in aerodynamics, propulsion, and structural analysis, with a focus on engineering principles and applications.
Tech stack
Software and tools used professionally
Availability
Location
United KingdomAuthorized to work in
Job categories
Skills
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