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Ankur Nayyar
Machine Learning, Data Science, Deep Learning, Data Engineering, Feature Engineering
Ankur Nayyar is a seasoned professional with over 12 years of experience in 'big data' science and engineering.
His expertise lies in data architecture, data mining, machine learning, data visualization, statistics, and deriving actionable insights from structured and unstructured data.
Ankur possesses a strong knowledge of Cloud Technologies including Virtualization/Containerization (e.g., Docker), Elastic Computing, Networking, Linux, and GPU.
He has a vast experience with Kubernetes for production deployment in ML production environments.
Ankur has a robust familiarity with the latest Open Source Cloud Technologies such as Spark, Hadoop, HBase, Hive, Kubernetes, Kafka, NoSql, and Docker, among others.
His skill set includes proficiency in load testing tools, system and application profiling tools like JProfiler, and regression testing.
Ankur is well-versed in utilizing machine learning frameworks like TensorFlow, Caffe, Keras, and SparkML, and implementing machine learning techniques to build production infrastructure at scale.
He has a strong background in software design, programming, feature development, code maintenance, bug fixing, and contributing to ML development tools strategy.
Ankur has hands-on experience with Continuous Integration (CI) and Continuous Delivery (CD) tools like Jenkins/Hudson.
Educationally, Ankur pursued ADSE and Java studies at Aptech Computer Education, earned a Master’s Degree in Computer Science from Manipal Academy of Higher Education, and completed BIT in Computers at the same institution.
In his professional journey, Ankur has held key positions at prominent organizations such as Databricks where he served as a Senior Specialist Solutions Architect, Resident Solutions Architect, and Lead Solutions Engineer.
Prior to his tenure at Databricks, Ankur worked as a Principal Data Engineer in Enterprise Data Analytics at Sabre Corporation, a Principal Consultant focusing on BIG Data at Cloudwick, and held various roles at Bank of America including VP Application Development, BIG Data Analyst - App Programming, Senior Software Engineer, and BPM Consultant.
His initial professional roles included working as a Software Developer (BPM Consultant) at Nvish Solution, a Software Engineer at Pugmarks, and a Software Trainee at Satyam.
