Responsibilities include:

• Conducted research on muscle fatigue characterization using surface electromyography (sEMG) signals for musculoskeletal disorder prevention.
• Designed and implemented an end-to-end preprocessing pipeline (filtering, MVC normalization padding sliding windows) for large-scale sEMG datasets.
• Adapted and extended Time-series Masked Autoencoder to extract high-level latent representations from noisy biomedical signals.
• Combined deep learning feature representations with handcrafted frequency-domain features to perform short window sEMG forecasting.
• Developed a modular and reusable codebase with MLflow integration for experiment tracking versioning and reproducibility.
• Collaborated with 3W Well With Waves on ergonomic applications providing AI driven insights for adaptive lead apron design to reduce muscle fatigue in healthcare professionals.

Responsibilities include:

• Project entitled “risk assessment for autonomous train shuttles”
• Investigated the state of the art and handled the training and evaluation of scene graph generators.
• Handled data processing and built and pipeline.
• Implemented a Gaussian approach to add additional risk features.

Responsibilities include:

• Designed features & business logic using UML modeling for a SAAS e-commerce.
• Worked with large scale data of an e-commerce system.
• Built and integrated micro-services and business logic . Used : NestJs, Typeorm
• Collaborated with front-end developers and weekly agile meetings.
• Utilized messages brokers and handled event management.
• Maintained and improved existing back-end system as well as monitored and troubleshooted application performance

Courses included:

• Advanced Linear algerbra, Probabilities, Statistics
• Computer vision, Bayesian learning, Statistical Learning
• NLP, Reinforcement learning, Fairness & privacy presevening ML