MSc Artificial Intelligence student with 3+ years of professional experience specialising in computer vision, machine learning, and real-time analytics. Proven track record in leading teams to deploy production-level ML …
MSc Artificial Intelligence student with 3+ years of professional experience specialising in computer vision, machine learning, and real-time analytics. Proven track record in leading teams to deploy production-level ML modules that optimize system latency and throughput. Currently researching privacy-preserving Federated Learning for EEG-based emotion recognition on edge devices. Expert in building cross-platform AI applications and robust security solutions for healthcare, finance, and government sectors.
Designing and implementing intelligent AI-driven systems to enhance operational automation and customer engagement for ECO4 and GBIS initiatives.
Applying expertise in Computer Vision and Machine Learning to solve real-world sustainability challenges within the Green Deal sector.
Working closely with data engineering and energy assessment teams to improve system efficiency through AI research and development.
Designing and implementing intelligent AI-driven systems to enhance operational automation and customer engagement for ECO4 and GBIS initiatives., Applying expertise in Computer Vision and Machine Learning to solve real-world sustainability challenges within the Green Deal sector., Working closely with data engineering and energy assessment teams to improve system efficiency through AI research and development.
Led a team to integrate Python-based ML modules into production, reducing API response latency by 25%.
Refactored legacy code supporting inference models, boosting system throughput by 1.6x.
Developed customized web applications for an architecture firm and led UI bug testing with Django users, decreasing support tickets by 30%.
Led a team to integrate Python-based ML modules into production, reducing API response latency by 25%., Refactored legacy code supporting inference models, boosting system throughput by 1.6x., Developed customized web applications for an architecture firm and led UI bug testing with Django users, decreasing support tickets by 30%.
Built facial recognition and Bib Detection applications used for Government Selections across various Indian states.
Constructed a secure examination browser deployed on 100+ client devices using PyInstaller.
Fine-tuned YOLOv5 and ResNet-50 models for edge deployment, achieving precision rates exceeding 90%.
Built facial recognition and Bib Detection applications used for Government Selections across various Indian states., Constructed a secure examination browser deployed on 100+ client devices using PyInstaller., Fine-tuned YOLOv5 and ResNet-50 models for edge deployment, achieving precision rates exceeding 90%.
Conducted specific research on Bib detection algorithms and trained detection models using PyTorch and TensorFlow.
Executed comprehensive model testing, evaluation, and hyperparameter optimization.
Conducted specific research on Bib detection algorithms and trained detection models using PyTorch and TensorFlow., Executed comprehensive model testing, evaluation, and hyperparameter optimization.
Designed and implemented biometric facial attendance and fraud detection systems using advanced ML techniques.
Developed and tested web-based tools for clients in finance, transportation, and administrative sectors.
Delivered projects on-time remotely, fostering effective cross-functional collaboration with client teams.
Designed and implemented biometric facial attendance and fraud detection systems using advanced ML techniques., Developed and tested web-based tools for clients in finance, transportation, and administrative sectors., Delivered projects on-time remotely, fostering effective cross-functional collaboration with client teams.
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