Sheenu George
Product Engineer @Cleareye.Ai
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WORK HISTORY
Product Engineer @Cleareye.Ai
Backend Product Engineer at a product-based FinTech company building AI-powered solutions for international banks in the trade finance domain. The platform focuses on intelligent analysis and processing of import/export trade documents such as Letters of Credit, Remittances, Bank Guarantees, and many more.I work closely with AI/ML teams to design and develop robust backend services that extract, validate, and process structured and unstructured financial data from complex trade documents. My responsibilities include transforming AI outputs into scalable, secure, and high-performance backend services that meet banking-grade reliability and compliance requirements.Through this role, I have gained strong exposure to modern system architectures, sophisticated backend design patterns, and enterprise-level programming practices in a highly regulated financial environment. The experience has strengthened my skills in building production-ready, scalable systems while collaborating cross-functionally with data science, product, and banking stakeholders.
EDUCATION
Government Engineering College, Barton Hill
Master of Technology - MTech, Signal Processing
Government V & H S S Vellanad School,TVM, Kerala
Plus One & Plus Two, Biology Science
Government V & H S S Vellanad, TVM, Kerala
SSLC- 10th, General
Government Engineering College, Barton Hill, Thiruvananthapuram
Bachelor of Technology - BTech, Electrical and Electronics Engineering
ABOUT SHEENU GEORGE
I was always astonished about how small electronic chips and signals could make a machine do its work according to our will. The flow of electrons and what they are capable to do is so enchanting. I learned about them in my Bachelors degree course in Electrical & Electronics Engineering and through my Masters course in Signal Processing I was able to learn about the Machine learning and the Artificial Neural Networks. And my final project during the course helped me to get a better idea on how ML/ANN technologies works and make our lives better. In my project I used MATLAB/ SIMULINK platform and was able to detect the eccentricity fault that occurs in an Asynchronous Electric Motor through ANN. I to become familiar with the programming side I learned Python Full Stack Course. It was an amazing experience. Along with Python I was able learn HTML, Bootstrap, CSS, JavaScript, NodeJS, AngularJS, JQuery, MySQL also. Now I am hoping to get opportunities in Python to get more experience in the field so that in the future I could do better in the ML/ANN field
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