Artificial Intelligence Software Engineering Cloud Data Science
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Own it, don't do it for the sake of it!
9+ years of overall experience including 6 years of data science in addition to software engineering.
Experience with Python, SQL, Tableau, PyTorch, NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, Tensorflow, Deep Learning, NLP, Neural Networks, Image Classification, Plotly, Kafka, ElasticSearch, Snowflake, AWS, Microsoft Cognitive Services, batch and streaming data analysis and more.
What have I been up to lately?
Look here for a collection of my latests projects, exercises, and more.
September 2018 - Present
Trivandrum, Kerala, India
As overall lead for IoT and data science (DS), was responsible for setting up the technical team to establish DS practice within the business unit. Key role in developing the overarching architecture for all IoT and AI solutions. Hands-on involvement in end-to-end delivery of multiple award-winning projects. Led various teams ranging from 5-15 developers.
WIPRO DIGITAL (MAR’16- SEP’18)
Bangalore, Karnataka, India
Played a key role in in transitioning various projects within the business unit to niche & relevant technologies. Established and managed Microsoft Cognitive Services solution team to work on projects across various business units. Owned end-to-end delivery of various projects: requirement elicitation, solutioning, development, testing, code reviews & deployment. Led various teams ranging from 5-15 developers.
INFOSYS LIMITED (JUL’12- MAR’16)
Bangalore, KarnatakaIndia
Selected to be a part of Apple ODC for high performance demonstrated during training period. Owned end-to-end delivery of critical modules within multiple projects. Played a key role in transitioning legacy projects within the business unit to niche & relevant technologies.
Courses taken or in-progress include OrientDB - Getting Started with Graph and Document Databases, Django Rest Framework, Big Data, and more.
Courses taken or in-progress include Data Wrangling with MongoDB, Continuous Integration, Reinforcement Learning, Intro to Computer Vision, and more.
Courses taken or in-progress include Python for Data Science, Data Science with Python, Machine Learning, Deep Learning with Tensorflow and Keras, Advanced Deep Learning and Computer Vision, NLP and Speech Recognition, Reinforcement Learning, and more.
Courses taken or in-progress include Learning ECMAScript 6+ (ES6+), Elasticsearch Essential Training, Kafka Essential Training, React.js Essential Training, Prepare for the AWS Certified Solutions Architect (Associate) Exam (SAA-C01), Creating Bots with the Microsoft Bot Framework, Learning Docker, and many more
2020 - 2021
Post Graduate Program in AI ML
2008 - 2012
B.Tech in Computer Science and Engineering
Bangalore
India