SUMMARY

  • Experienced in Data Science, Machine Learning and Big Data technologies with extensive hands-on practice in Designing/building Machine Learning models/pipelines in cloud and on-premise
  • Passion for technology and automation
  • Learning everyday
  • Karma returns!

EXPERIENCE

AI/ML Specialist

Google, 08/2022 - present

  • Artificial Intelligence/Machine Learning in Google Cloud

Consultant – Data Science

Infosys, 02/2019 - 08/2022

  • As company’s central automation team member finding the opportunities of automation into different accounts. Then building the same end-to-end using data-driven approaches
  • Winner of the EMNLP 2020, FIFTH CONFERENCE ON MACHINE TRANSLATION (WMT20) competition in the similar language translation task category. Link to the published paper of solution: https://www.aclweb.org/anthology/2020.wmt-1.52/. Awarded Patent for this work in India (Application number: 202041050659) and in US https://www.patentguru.com/US11875141B2.
  • Deployed multiple pre-trained text-classification models as rest endpoints
  • Developed an email classification model and deployed it as an add-in in MS Outlook. This helped with quick decision-making about the trading functions

Systems Engineer - Big Data Engineering

Tata Consultancy Services, 01/2017 - 02/2019

  • Maintaining and enhancing big data pipeline for ETL workflow (ingestion, transformation, export) used for dashboard reporting
  • Successfully migrated the data warehousing workflows from the teradata database to the hadoop environment. This made it scalable for the ever-growing database size in a very cost-effective way
  • Optimized the data processing (batch processing) run time into hadoop environment from 4 hours to just 40 minutes

Systems Engineer - Middleware Engineering

Tata Consultancy Services, 03/2015 - 01/2017

  • Maintaining the health of 402 servers (Unix / Linux, Windows) to ensure MQ (IBM Message Queuing) services are operational all the time
  • Automated the process of manually logging into the servers and performing troubleshooting activities of MQ components (queue managers, queues etc.), by building a desktop-based UI
  • Automated the process of running manual, periodic health-checks on the servers. This reduced the 90% manual effort for doing the same otherwise

SKILLS

  • Programming: Python, Java / J2EE, C / C++, R, SQL
  • Machine Learning / Deep Learning: Natural Language Processing (NLP), NLTK, Tensorflow, Keras, Sci-Kit Learn, PyTorch, NumPy, Pandas
  • Cloud: Amazon EC2, Amazon SageMaker, Azure, AZ-900; AI-900; AI-100; DP-100 certifications, GCP BigQuery, GCP DataProc, Nutanix Hybrid Cloud
  • Open Big Data Stack: Spark, Hadoop, HiveQL, Sqoop, Oozie

EDUCATION

  • Master of Computer Applications (MCA), Jai Narain Vyas University, Jodhpur, 08/2011 – 10/2014
  • Bachelor of Computer Applications (BCA), Maharaja Ganga Singh University, Bikaner, 07/2008 – 05/2011

MISCELLANEOUS