Ahsan Saeed

Actively looking for opportunities in Artificial Intelligence(ML, DL,or DS) Currently working as a researcher to run deep learning experiments in Keras, and Theano, focusing on analyzing whether Active Learning can be used to reduce training-set size Worked in: ML branches of Reinforcement Learning (Q-learning & MDPs), Supervised Learning (such as SVMs, Logistic/Linear Regression, and Ensemble Methods), and Unsupervised Learning (such as K-means, and Expectation Maximization, a soft-clustering GMM algorithm) Python, R, Scala, Weka, Hadoop, and Spark tools Spark SQL, HiveSQL, Pig, Numpy, and Pandas for data preprocessing and manipulation R packages, MLLib for Apache Spark, and Scikit-learn for various ML tasks R(GGPlot2) and Pythons Matplotlib for Data Visualization Bayesian Filters and Monte Carlo methods such as KALMAN filters, and Particle Filters Previous Background Strong record of delivering software solutions as a solution architect Over 10 years of experience in high-level to low-level implementation & architecture details of software systems in algorithmic detail. From last 10 years working in Telecom CRM & Billing Solutions domain. C/C++ for 7 years as a Software Developer and Support Engineer Oracle 9i, 10g, and 11g, SQL Server, and PostgreSQL for around 10 years, primarily query and procedures writing Unix platforms (scripting), such as Linux (Ubuntu, Red-Hat), AIX, Sun, and HP Customer relationship management software products, especially Siebel/Oracle CRM, and gained first-hand experience of accepting software from customers perspective. Volunteered to take on added role of System Administrator beside working as a Functional Consultant for CRM system at Saudi Telecom. Worked in a Telecom Operations setting to automate routine tasks using Python and/or Linux/Unix scripts, and scheduled them as Cron jobs.