geetha naidu
@geethanaidu
I modernize secure banking, ERP, and enterprise systems with .NET and AI.
FranceWhat I'm looking for
I'm currently engineering C# EBICS API wrappers at MATA I/O to secure and automate bank-to-corporate communications.
For Mauritius Commercial Bank, I led the migration of a Credit Management System from ASP.NET to .NET Core 2.0, using Telerik and Kendo UI for financial data visualization. I also led the transition of VB.NET client-server applications to ASP.NET MVC.
Across France and India, I've designed high-availability enterprise systems for financial services, government bodies, and global retail organizations. My work includes ERP and document management systems with OCR-driven data extraction and workflow automation.
I'm MIT certified in AI and Data Science, with project work in Generative AI sentiment analysis and recommendation systems using collaborative filtering and SVD. I bring 15+ years of experience connecting legacy modernization, secure architecture, and data-driven automation.
Experience
Work history, roles, and key accomplishments
IT Consultant
MATA I/O
Mar 2020 - Present (6 years 6 months)
Spearheaded the transition of VB.NET client-server applications to ASP.NET MVC and engineered C# EBICS API wrappers for native C libraries to secure and automate bank-to-corporate communications.
Worked as IT Consultant at MATA & KEMATA – MATA I/O.
Worked as IT Consultant at Groupe CALLIOPE.
Worked as IT Consultant at Titanium - CRM & Collaboratif.
Worked as IT consultant .Net at ITEKEM.
Worked as IT Consultant at Altran.
Worked as Consultant at Euro Information Development at Alsanium.
Involved in development of Desktop((Winforms and WPF) and web based applications and CMS application.
Education
Degrees, certifications, and relevant coursework
University of Strasbourg
DUEF A2, French Language and Literature
Applied AI and Data Science Program
MIT Professional Education, Artificial Intelligence and Machine Learning
2025 - 2026
Completed intensive program focused on Generative AI and Recommendation Systems.
Capstone Project: Real-Time Retail Feedback Intelligence. Developed a Generative AI system using Prompt Engineering (Zero-Shot, Chain-of-Thought) for automated sentiment analysis and personalized customer engagement.
Elective Project: Amazon Product Recommendation System using Collaborative Filtering and Matrix Fact
Massachusetts Institute of Technology
MIT Professional Education, Artificial Intelligence and Machine Learning
2025 - 2026
Activities and societies: Capstone Project: Real-Time Retail Feedback Intelligence; Elective Project: Amazon Product Recommendation System using Collaborative Filtering and Matrix Factorization (SVD).
Completed an intensive program focused on Generative AI and Recommendation Systems, including a capstone project on real-time retail feedback intelligence.
Visvesvaraya Technological University
B. E., Industrial Production
2003 - 2007
Visvesvaraya Technological University
Bachelor of Engineering, Industrial Production
2003 - 2007
Pursued a Bachelor of Engineering in Industrial Production from 2003 to 2007.
Tech stack
Software and tools used professionally
Availability
Location
FranceAuthorized to work in
Job categories
Skills
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