Kiran Chawla

Senior Software Engineer

Bengaluru, Karnataka, India4 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

4+ years of experience in full stack engineering.
Expertise in Java, Spring Boot, and Angular.
Published research in machine learning and received awards.

Stackforce AI infers this person is a Full Stack Engineer with a focus on Machine Learning in the Healthcare sector.

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Skills

Core Skills

Machine LearningDeep LearningArtificial Neural Networks

Other Skills

Big DataC++Data AnalysisData ScienceDatabase DesignFull-Stack DevelopmentHTMLJavaJavaScriptMathematicsMicrosoft ExcelMicrosoft PowerPointMicrosoft WordMongoDBObject-Oriented Programming (OOP)

About

I’m a full stack engineer with 4+ years of experience building secure, scalable, and user-centric enterprise applications at Visa. I specialize in Java, Spring Boot, Angular, and distributed systems, with a strong track record of leading end-to-end feature development, modernizing UIs/APIs, and improving system performance. My work has enhanced transaction flows, reduced data processing time, and strengthened security across platforms. I enjoy solving complex problems and delivering clean, maintainable software that scales.

Experience

Visa

2 roles

Senior Software Engineer

Promoted

Aug 2023 – Present · 2 yrs 7 mos

Software Engineer

Jul 2021 – Jul 2023 · 2 yrs

National institute of technology delhi

Research Intern

May 2020 – Aug 2020 · 3 mos · Delhi, India

Project on signal processing based Human Activity Recognition under the direction of Dr Chandra Prakash, Professor, NIT Delhi
Recognizing the subjects’ activity based on the trace of actions and environmental conditions using sensors; applying various state-of-the-art Deep Structured Learning methods yielding accuracies >96%
Paper titled “Comparative Study of Computational Techniques for Smartphones based Human Activity Recognition” published in ICAAAIML’20

Deep LearningMachine LearningSignal Processing

Indira gandhi delhi technical university for women

Research Intern

Jun 2019 – Nov 2019 · 5 mos · Delhi

Applied Artificial Neural Networks and concepts of Machine Learning on the Gait parameters to analyze corresponding spacio-temporal characteristics; analyzing the knee movement pattern using the engineered features
Received the Best Paper Award for the paper titled “Re-sampling Technique for Joint Motion Normalization” in AIST’19

Machine LearningArtificial Neural Networks