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Akshay Ravindran
SDE at LivePerson
Akshay Ravindran is a highly skilled individual with a strong background in computer science and deep expertise in various areas of machine learning, deep learning, big data, and artificial intelligence.
He has a proven track record in understanding and analyzing business requirements, building predictive models, designing experiments, testing hypothesis, and interpreting statistical results to derive actionable insights and recommendations.
With proficiency in using frameworks like ML-lib, scikit-learn, H2O, Torch, TensorFlow, Theano, Caffe, NLTK, Spacy, and Flask, Akshay has developed back-end machine learning applications and implemented different machine learning algorithms such as random forest, boosted tree, SVM, SGD, neural network, and deep learning using TensorFlow.
His experience spans across diverse models of traditional statistical modeling and machine learning techniques including regression, clustering, ensemble methods (random forest, gradient boosting), deep learning (neural networks), recurrent neural networks, LSTM networks, and word2vec.
Akshay has a solid educational foundation with a Bachelor of Engineering (BE) in Computer Science from Sri Krishna College of Engineering and Technology, a Master of Engineering (MEng) in Computer Science with a GPA of 3.4 from the University of Cincinnati, and he also studied Computer Science at Vidhya niketan.
His professional experience includes working as an SDE at LivePerson, a Technical Writer at Javarevisited, a Blogger at House of Codes, a Senior Software Developer at Well & Lighthouse, LLC, and a Software Developer at Syneren Technologies Corporation.
Akshay has a passion for exploring new tools, methods, and algorithms through prototype research projects, possesses knowledge of information extraction, NLP algorithms, and deep learning applications, and has hands-on experience in managing campaigns, customer profiling analysis, and leading delivery through Agile methodologies.
As a technical blogger with over 200k views and 500+ followers, Akshay shares valuable insights and expertise in the field of machine learning, deep learning, and AI, making him a valuable asset in the tech community.