Google

- Provided technical expertise and guidance to GCP clients throughout the solution lifecycle, including
creating proof-of-concepts, troubleshooting issues, and providing training
- Contributed to the improvement of existing AI/ML products(Vertex AI, Gemini) by identifying areas
for optimization, developing new features, and resolving bugs
- Create/Maintain technical documentation around the AI/ML products including user guides and code
implementations
- Reflections of above work as side/public projects:
        - Financial Literacy App Powered by Gemini: https://github.com/amanpreetsingh459/Fin-Literate
        - Gemma2 fine-tuning on punjabi language: https://github.com/amanpreetsingh459/kaggle_challenges/tree/master/google-gemma-2-la
nguage-fine-tuning

AI/ML Specialist

Infosys

•	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
•	Deployed multiple pre-trained text-classification models as rest endpoints
•	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/
•	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

Consultant – Data Science

Tata Consultancy Services

•	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
•	Big Data Certifications: https://www.credly.com/users/amanpreet-singh.3edf048e

Systems Engineer - Big Data Engineering

•	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

Systems Engineer - Middleware Engineering

•	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
•	Winner of the EMNLP 2020 CONFERENCE ON MACHINE TRANSLATION (WMT20) competition in the similar language translation task category. Link to the paper of solution description: - https://www.aclweb.org/anthology/2020.wmt-1.52/. Awarded patent for this work.
•	Worked in Infosys’ central automation team, finding->designing->developing the automation opportunities that could result in improved productivity and/or monetary benefits
•	Passion for technology and automation
•	Learning everyday
•	Karma returns!

Skills: Machine Learning, Natural Language Processing, Data Science/Engineering, Customer Success, Google Cloud Platform, Problem Solving

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