Python Software & AI/ML Engineer | 10+ Years in R&D | Backend, Machine Learning and Agentic AI

Machine Learning & Deep Learning
Expertise in supervised and unsupervised learning, language embedding methods, CNNs, LSTMs, Transformers, and GANs, with hands-on implementation using Python, PyTorch, and TensorFlow.

Agentic AI & LLM Engineering
Development of LLM agents, automated multi-step pipelines, structured data extraction, and API/tool integration using frameworks such as Ollama, Qwen, and AWS Bedrock.

Generative AI
Design and fine-tuning of generative models including GANs, VAEs, Diffusion models, and foundation models for inference and high-dimensional feature representation.

Computer Vision & Multi-Object Tracking
Application of YOLO, DeepSORT, and MOTR for detection, tracking, and temporal sequence modeling across image sequences.

Speech Processing
Implementation of TTS, ASR, and fine-tuning of Whisper models for speech-related AI applications.

Full-Stack AI Applications
Building Python backends, REST APIs, SQL/SQLite databases, and web application integrations for end-to-end AI solutions.

Signal Processing & Time-Series Analysis
Analysis and modeling of sensor data, GNSS systems, sensor fusion, real-time navigation, and transportation mode classification from inertial sensors.

HPC Infrastructure & DevOps
Management of GPU clusters, AWS and Jean Zay HPC infrastructure, Docker containerization, GitHub/GitLab version control, and Python library packaging.

Mathematical Modelling & Bayesian Inference
Application of mathematical modelling, Bayesian inference, information systems, and statistical learning for research and engineering problems.

Data Mining & Statistical Learning
Use of data mining techniques, statistical learning, and Expectation Maximization algorithms for discovering latent structures in multimodal data.