Hi, I have been an academic at a top-ranked engineering university, since 2013. Currently, I am on a sabbatical, residing in the UK, as a stay-home-dad.
I have adequate knowledge of the breadth of ML algorithms with an ability to evaluate and choose the best-suited algorithms, perform feature selection and optimize machine learning models. I have hands-on experience in implementing supervised ML algorithms like linear regression, logistic regression, decision trees, naïve Bayes, and K nearest neighbors.
I have hands-on experience in using machine learning frameworks and libraries like Scikit-learn, Tensorflow, Keras, and Pytorch to solve real-world problems. Lately, I have taught and applied big data management and analytics, with exposure to supervised and unsupervised machine learning for big data problems using Apache Mahout and Apache Spark.
Concerning the task, there are plethora of real-time object detection frameworks, I guess the challenge is object tracking. I have done multi-object tracking earlier but coming up with an accurate one should be an interesting task to tackle.