Saurabh De

Software Engineer

Singapore, Singapore9 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in backend systems and data processing pipelines.
Proficient in machine learning and data analytics.
Experience with large-scale data processing at Google.

Stackforce AI infers this person is a Backend Engineer with expertise in Fintech and Data Processing.

Contact

saurabh.de.work@gmail.com LinkedIn

Skills

Core Skills

Backend DevelopmentMicroservicesData ProcessingAnalyticsMachine LearningComputer VisionMobile Development

Other Skills

KotlinSpringBootKafkaGitlabSplunkSignalFXSQLDistributed ProgrammingGoogle Proprietary FrameworksMessaging QueuesJavaPythonScalaScikit-LearnTensorflow

About

I am a highly enthusiastic and motivated software professional with interests and experience in building backend systems and data processing pipelines.

Experience

9 yrs 4 mos

Total Experience

1 yr 10 mos

Average Tenure

2 yrs 8 mos

Current Experience

Airwallex

Senior Software Engineer

Sep 2023 – Present · 2 yrs 8 mos · Singapore, Singapore · On-site

Building the core banking backend services to power website experiences on Airwallex.
Experience working with Airwallex's proprietary database (Auticuro) & Postgres, building backend micro-services with Kotlin (SpringBoot), Kafka, using Gitlab for CD/CI, Splunk for logging infra, and SignalFX alerting and monitoring.

KotlinSpringBootKafkaGitlabSplunkSignalFX+2

Google

2 roles

Software Engineer

Jan 2022 – May 2023 · 1 yr 4 mos

Google Shopping Analytics
Building log processing pipelines for extracting datasets out of google search logs to be used by Shopping org for analytics, reporting, model training, dashboarding, alerting.
Working with petabytes of data per day, writing distributed programs on Google's proprietary frameworks.
Extensive use of SQL for data wrangling

SQLDistributed ProgrammingGoogle Proprietary FrameworksData ProcessingAnalytics

Software Engineer

Mar 2019 – Dec 2021 · 2 yrs 9 mos

Google Pay Merchants (Mar 2019 - May 2021)
Building the backend services to power in-app experiences on Google Pay.
Experience with google's proprietary frameworks for highly consistent databases, micro services, messaging queues, CD/CI, logging infra, alerting and monitoring
Google Shopping Analytics (June 2021 - Dec 2021) (Remote)

Google Proprietary FrameworksMicroservicesMessaging QueuesBackend Development

Directi

Platform Engineer (SDE-1)

Jul 2017 – Mar 2019 · 1 yr 8 mos · Mumbai Area, India

Learning and implementing data pipelines and machine learning models for optimizing ad-revenues, contextual and targetted advertising.
Experience working with the following:
❖ Languages: Java, Python, Scala
❖ ML Tools: Scikit-Learn, Tensorflow, Keras (Python), MLlib (Spark), Vowpal Wabbit
❖ Data Processing, Streaming, Storage: Hive(HDFS), Spark (Java, Python), Kafka, Redis, MySQL, MongoDB
❖ Server Deployment: Kubernetes, DCOS, Tomcat
❖ Notebooks: Jupyter, Zeppelin

JavaPythonScalaScikit-LearnTensorflowKeras+12

Indraprastha institute of information technology, delhi

Teaching Assistant - Foundation of Finance

Jan 2017 – Apr 2017 · 3 mos · New Delhi Area, India

Image analysis and biometrics lab, iiit-delhi

Undergraduate Researcher

Aug 2016 – Apr 2017 · 8 mos · New Delhi Area, India

Advisors: Dr. Richa Singh and Dr. Mayank Vatsa
Worked on multi-modal biometric recognition for toddlers and pre-school children.
Attached publication in International Joint Conference on Biometrics 2017 (Denver)

Iiit delhi

2 roles

Research Intern

May 2016 – Jun 2016 · 1 mo · New Delhi Area, India

Worked on designing algorithm for Antiforensic Image processing, such as Contrast Enhancement, Linear and Non Linear Filtering, against standard Forensic Detectors.

Teaching Assistant - Advanced Programming

Aug 2015 – Nov 2015 · 3 mos

Kritikal solutions

Software Engineering Intern - Analytics Practices

May 2015 – Jul 2015 · 2 mos · Noida

Worked on Face Detection, Recognition, Orientation straightening & alignment, in Android and C++, and started Hand Orientation classification training to be used as visual input to control systems.
Tools and Technologies Used
Tags : HaarCascade, LBP , SVM , Dataset Collection and Training, Background Subtraction , Convex Hull , Voila-Jones Feature Detection
Android : Java , OpenCV , Android Studio
C++ : OpenCV , Visual Studio, Eclipse