saurabh
Chaudhari.

Name: Saurabh Chaudhari
Address: SG
Telephone: +65 86153503

| ALGORITHM ENGINEER | DATA SCIENTIST |
| READER |

Machine Learning Engineer with 5+ years of experience deploying production-grade ranking and retrieval models for large-scale recommendation systems. Proven success in designing two-tower, DSSM, and attention-based ranking models that improved CTR by 3% and AUC by 1.5% across 10M+ MAUs. Inventor of a Huawei patent (pending) in contextual personalization. Proven impact through A/B testing, real-time feature pipelines, and Spark-based ETL for multi-TB data. Passionate about solving cold-start, ranking, and real-time inference challenges in global-scale ML infrastructure.

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01 PROFESSIONAL

MY KNOWLEDGE LEVEL IN SOFTWARE

JAVA

75%

AWS

70%

PYTHON

90%

MACHINE LEARNING

85%

SPARK

80%

SQL

85%

HADOOP

80%

PROFESSIONAL

PORTFOLIO

EXPERIENCEO

02 PORTFOLIO

MY LATEST WORK.
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03 Experience

March 2023 - Present

Huawei International Pte Ltd.

Algorithm Engineer

Search and Recommendation Systems: Undertook optimization tasks resulting in a 3% improvement in click rate and a 69% reduction in data storage consumption.
Research: Integrating state-of-the-art deep learning ranking models like DCN and DNN to further enhance the recommendation systems. Additionally, conducting and assessing online A/B test experiments to evaluate the model performance.
Skills: Apache Spark · Hive · Hadoop · Scala · SQL ·

March 2022 - March 2023

National University of Singapore

Research Associate

Research: Conducted a literature survey and published an in-depth scoping review on personalization for physical activity interventions at a national scale.
Machine Learning and Data Mining: Explore the application and feasibility of machine learning based activity recognition on a large-scale cohort to create user activity profiles and promote physical activity at a National Scale.
Skills: IBM SPSS · Python · Data Mining · Machine learning · SQL · Kotlin · Tableau

January 2021 - March 2022

National University of Singapore

Research Assistant

Research: Conducted a literature survey and published an in-depth scoping review on personalization for physical activity interventions.
Software Development: Developed an Android application using Polar SDK, AWS Amplify and Amazon DynamoDB to collect raw sensor (Heart Rate and Accelerometer) data from Polar Verity Sense device via Bluetooth communication.
Machine Learning and Data Mining: Developed an Android application using Polar SDK, AWS Amplify, and Amazon DynamoDB to collect raw sensor (Heart Rate and Accelerometer) data from Polar Verity Sense device via Bluetooth. This setup was used in a 3-arm randomized control trial (RCT) with 18 participants, and results showed a significant improvement in app usage and physical activity due to recommendation personalization.
Skills: Amazon Dynamodb · Amazon S3 · AWS Lambda · Amazon Web Services (AWS) · IBM SPSS · Python · Data Mining · Machine learning · SQL · Kotlin

July 2017 - July 2020

eQ Technologic

Software Developer

Machine Learning: Responsible for researching and analyzing the latest and innovative machine learning methodologies and incorporating them into eQubeBI products.
Software Development: Contributed to the critical initiative of introducing advanced business requirements in the existing business Intelligence tool and optimizing workflows for the firm.
Data Mining and Knowledge Discovery: Integrated state-of-the-art Data Mining and Knowledge Discovery capabilities into eQ’s platform for Business Intelligence use cases such as statistical analysis, forecasting, and large-scale database management, etc.
Skills: Java · Python · SQL

June 2016 - June 2017

Persistent Systems Ltd.

Project Intern

B.E. majors project at Persistent Systems Ltd. for the academic year 2016-17 under the title ‘Self-tuning approach for implementing a multidimensional recommendation system using PID.’
Published and presented the project research work at the IEEE conference i-PACT’17 held at Vellore Institute of Technology.
Skills: Java · SQL