Ramanan Balakrishnan

Senior Software Engineer

Singapore, Singapore, Singapore13 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Developed AI models for real-time fraud prevention.
Core member of data science team at Semantics3.
Expertise in electromagnetics and radar technology.

Stackforce AI infers this person is a Data Scientist with expertise in AI and electromagnetics, focused on ecommerce and fintech.

Contact

Skills

Core Skills

Machine LearningArtificial Intelligence (ai)Data ScienceElectromagneticsRadarAlgorithms

Other Skills

ANSYSAgilent ADSAntenna DesignAntenna MeasurementsAntennasC++C/C++ STLCST Microwave StudioComputer ScienceData AnalysisData CollectionDeep LearningDesign ResearchDigital Signal ProcessorsEducational Fundraising

About

I am currently a part of the payments risk management team at Google. My primary focus is to fight scams on GPay India. I specialize in developing AI models for real-time fraud prevention at scale, protecting over 100M+ financial transactions daily. Previously, I was an early team member at Semantics3 (YC W13). As a part of the data science team, I worked on realizing large scale ML solutions for global ecommerce, covering taxonomy classification, information extraction and named entity extraction. Prior to that, I was an academic researcher specializing in RF technology and electromagnetism for radar.

Experience

Google

Senior Software Engineer

Dec 2020 – Present · 5 yrs 3 mos · Singapore

Machine LearningPythonSQLArtificial Intelligence (AI)

Semantics3

Data Scientist

Sep 2014 – Dec 2020 · 6 yrs 3 mos · Singapore | San Francisco | Bengaluru

Core member of data science team, building end-to-end systems, from statement formulation to solution deployment.
Projects include hierarchical classification, image hashing, information extraction and named entity recognition over unstructured text.
Architect for development roadmap, data wrangling workflows and engineering best practices.
Previously was lead engineer, implementing real-time data processing systems for collection and analytics on performance of ecommerce stores.

Machine LearningData ScienceInformation ExtractionNamed Entity Recognition

Centralesupelec

Research Intern - Electromagnetics and Radar

May 2013 – Dec 2013 · 7 mos · Paris Area, France

Research attachment at SONDRA, a joint laboratory between Supélec, ONERA (French national aerospace lab), National University of Singapore and DSO National Laboratories (Singaporean defence research agency)
Designed, prototyped and characterized a wideband, dual-circular polarized antenna

ElectromagneticsAntenna Design

National university of singapore

2 roles

Research Engineer - Electromagnetics and Radar

Promoted

Jun 2012 – Aug 2014 · 2 yrs 2 mos · Singapore

Develop electronic designs for radar, communications and other high-frequency systems
Focus on the physics, design, electromagnetic simulation, and measurement of
high-frequency antennas
Extensive use of computational software and mathematical packages including tools such as MATLAB, Ansoft HFSS, CST Microwave studio, Agilent ADS / Momentum for electromagnetic modelling as well experimental data analysis

ElectromagneticsRadarSignal ProcessingMATLAB

Teaching Assistant - Advanced Algorithms

Jan 2010 – Dec 2011 · 1 yr 11 mos · Singapore

Tutored university students enrolled in a C++ course on data structures and algorithms
Responsibilities included introducing concepts to students, formulating exercise problems and evaluating students’ progress
Nominated by students for best teaching awards multiple times

C++Algorithms

Data storage institute

Research Intern - Quantum Sensors

May 2010 – Jul 2010 · 2 mos · Singapore

Implemented a data collection solution for experiments in high-speed quantum optics
Completed a detailed review of both the electronics behind the experimental set-up as well the physics involved in quantum state tomography

Quantum SensorsData Collection