Dr. Faisal Ahmad (Ph.d) — Software Engineer

• Creative and passionate IT professional with 8+ years of experience in Java, J2EE, Big Data and Machine Learning related technologies. • 5+ years of experience in core java development using JSPs 2.0, Servlets 2.x, JDBC, REST, Exception Handling, Multi-threading, and Collections. • 2+ years of experience in design and implementation of big data and Machine Learning Applications using Spark MLlib, R, Kafka, Oozie, Squoop, HDFS, MapReduce. • Build generic Spark based machine learning tool for training supervised model. • Ph.D. from National Institute of Technology, Durgapur, India (federal university) as part of the university industry research collaboration plan. (Ph.D. to be awarded in October, 2017) • Research interest in big data and large scale service composition, managing large scale web services, web service discovery, big data technologies and Machine Learning. • Experience of implementing supervised Machine learning algorithms like logistic regression, Random forest, Gradient Boosted tree, Naïve Bayes, Neural network. Also evaluated unsupervised machine learning algorithms. • Simulated Genetic Algorithms in Matlab. Designed multi-level genetic algorithm for scheduling web services in multi cloud environment. • Evaluated and implemented use cases in Automation anywhere (RPA). • Experience in Development Projects with End-to-End Software Development Life Cycle (Requirement gathering and Analysis, Estimation/Effort analysis. Architecture Design, Coding & Unit testing, Integration & System Testing, User Acceptance Testing and Production Go-Live). • Experienced in developing applications for Telecom, Insurance, Banking and Utility Domain. • Articulate in written and verbal communication along with strong interpersonal, analytical, and organizational skills.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in Big Data and Machine Learning.

Location: San Francisco, California, United States

Experience: 16 yrs 4 mos