Career Profile
Machine Learning Engineer with +2 years of experience in a varied fields of application like Multimedia, NLP, Healthcare and IoT. Calm and research-oriented, I am proficient at building, deploying and optimizing ML & Deep Learning models and handling large datasets. Have a Master's Degree in CS with Data Science & Technology Specialization.
Experiences
A sensor-agnostic approach towards sleep classification by using Unsupervised Feature learning models. The research is based on employing 1D-ConvNets and LSTM layers to improve the classification accuracy of sleep classification system using wearable data.
Machine learning pipeline for predicting and quantifying the sleep quality of an individual from ballistocardiogram (BCG) signal. Improved classification accuracy to 65-70% and replaced the rule-based system with ML.
Bayesian Optimization model on pgSQL DB to to reduce the bloating and downtime caused due to manual vacuuming. Improved the reduction in DB lockdown by 40% (4-5sec per table). Has been deployed into the production environment of some of their business products.