Subhanshu Aggarwal

Software Engineer

Bengaluru, Karnataka, India9 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Over eight years of software engineering experience.
Expertise in distributed backend systems and microservices.
Strong background in fintech solutions and data-driven applications.

Stackforce AI infers this person is a Fintech Backend Engineer with expertise in distributed systems and data analytics.

Contact

Skills

Core Skills

MicroservicesSpring BootData ScienceMachine Learning

Other Skills

AngularJSBig DataBig Data AnalyticsBootstrapC++Data AnalysisDistributed Backend SystemsDistributed SystemsFinancial AnalysisGenAI/ML ApplicationsJavaJavaScriptManagementPostgreSQLPublic Speaking

About

With over eight years of experience in software engineering, I specialise in distributed backend systems, leveraging Spring Boot and PostgreSQL to build and scale microservices. At Nielsen, I contribute to the development of GenAI/ML applications, working on innovative solutions to address complex business challenges. Previously, I played a key role at PayU and OCBC bank, where the team delivered high-quality solutions tailored to the fintech sector. My efforts have consistently supported the seamless operation of dynamic systems, demonstrating a strong commitment to collaboration and quality-driven innovation.

Experience

Nielsen

Staff Software Engineer

Sep 2025 – Present · 6 mos · Bengaluru, Gurugram, India · Hybrid

Distributed Backend Systems and GenAI/ML Applications

Distributed Backend SystemsGenAI/ML ApplicationsMicroservicesSpring Boot

Payu

Lead Software Engineer

Dec 2022 – Sep 2025 · 2 yrs 9 mos · Greater Bengaluru Area

Ocbc bank

Senior Software Engineer

Mar 2021 – Nov 2022 · 1 yr 8 mos · Singapore

Kpmg singapore

Full-stack Developer

Jan 2019 – Mar 2021 · 2 yrs 2 mos · Singapore

American express

Data Scientist | Digital Marketing | Machine learning

Apr 2017 – Dec 2018 · 1 yr 8 mos · Gurgaon, Haryana, India

Responsible for big data analytics in digital personalisation team
Building recommendation engine using machine learning/big data of real time marketing offers for customers in US and International Markets

Big Data AnalyticsMachine LearningData Science

Jpmorgan chase & co.

Junior Analyst

Sep 2016 – Mar 2017 · 6 mos · Mumbai Area, India

Model Risk Governance - Global Markets Group

Fidelity worldwide investment

Quantitative Research intern

May 2015 – Jul 2015 · 2 mos · Gurgaon, India

Improvement in Stock Selection using Machine Learning
Implemented “Random forest” model for prediction of dividend per share growth rate for stocks using companies financials

Machine LearningData Science

Nathan associates inc.

Consultant

Dec 2014 – Dec 2014 · 0 mo · New Delhi Area, India

Regulatory Impact Assessment of Liberalisation of Legal Services Industry on Indian Economy

India forex advisors pvt. ltd.

Summer Analyst

May 2014 – Jul 2014 · 2 mos · Mumbai Metropolitan Region

Project - USD-INR Forecasting using Vector Autoregression (VAR) and Impulse Response Functions

Indian institute of technology, kharagpur

Department Representative of Training and Placement Cell

Aug 2013 – Apr 2014 · 8 mos · Kharagpur

Part of 14-Member team selected by Department & Placement Committee Members
Responsible for co-ordination & management of written tests & personal interviews of companies