Description

I am a reliable and results-driven team player with strong expertise in Artificial Intelligence frameworks and Data Science. My work focuses on developing efficient, data-driven solutions using machine learning, deep learning, and statistical modeling techniques including RAG, Chat bots, AI Agents.

I prioritize accuracy, scalability, and timely delivery, ensuring that each project meets both technical and practical requirements. Whether it involves data analysis, predictive modeling, or AI-based system development, I provide solutions that are both cost-effective and performance-oriented.

If you are looking for precise, fast, and dependable execution, feel free to reach out.

Languages

English
Native or bilingual
French
Basic

Workplace preferences

Can work on-site

Orléans (up to 50km)

PRISME Labs
Artificial Intelligence Engineer
DIGITAL AND IT
November 2025 - Today (7 months)
France
Charpak Scholar (IFI India); developing an AI-based predictive framework for hydrogen storage in metal hydrides, covering end-to-end ML pipeline design and evaluation. – Ongoing work on dataset expansion, model accuracy optimization, and integration with an experimental hydrogen storage test bench for validation.
artificial intelligence AI and Advanced Analytics Data integration (ETL, ELT and data warehousing) Machine Learning Theory ETL (Extract, Transform, Load) Processes
Center of Excellence for IoT & Expert Systems, Veltech University
INTERN
DIGITAL AND IT
June 2024 - May 2025 (11 months)
Chennai, India
-Built AI-driven aquaculture and water-quality prediction systems, including LSTM-based time-series forecasting dashboards and GPT-powered advisory tools.
– Designed real-time IoT monitoring pipelines with advanced preprocessing, predictive modeling, visualization, and
research publication support.
– Publication- DOI: 10.1109/IC2E365635.2025.11167875
– Co-project: Developed an AI-driven stock trend prediction system with end-to-end data preprocessing, feature
engineering, and an interactive dashboard for investor decision support.
•Center of Excellence for Biotechnology & Hyperspectral Imaging, Vel Tech university
INTERN
DIGITAL AND IT
January 2024 - May 2025 (1 year and 4 months)
Chennai, Tamil Nadu, India
– Conducted ML-based regression analysis on hyperspectral data for soil organic carbon estimation; handled pre
processing, validation, and model refinement.
– Executed field trials, improved dataset quality, and contributed to model enhancement and IP-oriented research
activities.
– Melanoma detection Publication: DOI: 10.1109/ICSCAN62807.2024.10894452
– Co-project: Built a scalable Random Forest-based crop recommendation engine using multi-modal soil and climate
data, optimized via Grid and Randomized Search, and deployed using Python, scikit-learn, and TensorFlow.