About
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/
- 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
- Generative AI Nanodegree, 02/2024 – 06/2024
- Google Cloud Certified: Professional Machine Learning Engineer, 07/2023
- Google Cloud Certified: Professional Cloud Architect, 11/2022
- Nutanix Certified Associate (NCA), 07/2022
- AWS Machine Learning Foundations, 11/2021
- Hybrid Cloud Engineer Nanodegree, 10/2020 – 02/2021
- Created a python library "stat-prob-dist" which provides methods to simplify the statistical and probabilistic distributions, https://pypi.org/project/stat-prob-dist/
- 4 times scholarship winner through https://www.udacity.com/ :-
- Microsoft Machine Learning on Azure Scholarship, 07/2020 – 09/2020
- Intel Edge AI Scholarship, 01/2020 – 03/2020
- Secure and Private AI Scholarship from Facebook, 06/2019 – 08/2019
- PyTorch Scholarship from Facebook, 11/2018 – 01/2019
- Deep Learning Nanodegree Foundation Course, 01/2017 – 05/2017
- Azure and Bigdata certifications