Himanshu Chaudhary

Software Engineer

Delhi, India6 yrs 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

20% fulfillment cost reduction at Wayfair
Led development of AI-powered data assistant
Expert in microservice architectures and cloud-native development

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the SaaS industry.

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Skills

Core Skills

JavaMicroservicesGenerative AiRest Apis

Other Skills

Agile MethodologiesAmazon RedshiftAmazon Web Services (AWS)Android DevelopmentAngularJSArtificial IntelligenceCC++CI/CDData AnalysisDjangoFlaskGoogle Cloud Platform (GCP)HadoopHibernate

About

Results-driven Software Engineer with 3+ years of experience delivering scalable, high-performance backend and full-stack systems. Specialising in Java, Spring Boot, and cloud-native development (AWS, GCP), I have led impactful projects such as AI-powered data assistants and cost-optimising logistics platforms. Proven ability to design microservice architectures, reduce operational costs (achieved 20% fulfillment cost reduction at Wayfair), and drive business impact through engineering solutions. Strong advocate for system design best practices, Generative AI integration, and cross-functional collaboration. Ex-Amazon | NIT Warangal MCA Topper | Passionate about problem-solving, system scalability, and backend innovation.

Experience

6 yrs 6 mos

Total Experience

1 yr 11 mos

Average Tenure

3 yrs 2 mos

Current Experience

Wayfair

2 roles

SDE 2

Promoted

Mar 2024 – Present · 2 yrs 3 mos · Bengaluru, Karnataka, India · On-site

Led development of a Lane Management System optimizing logistics and reducing fulfillment costs by 20%.
Built and deployed Voyager: an AI-powered chatbot converting English queries into SQL, enhancing business data access.
Designed LMP Insight tool handling 50K events/min for business metrics and on-call reduction.
Modernized label printing platform to handle 100 labels/sec with automated CI/CD pipeline.
Built a unified API endpoint reducing client onboarding time from 1-2 months to 3 weeks.
Implemented robust security and PII handling mechanisms in all backend services.

REST APIsSystems DesignGenerative AIGoogle Cloud Platform (GCP)KafkaMicroservices+13

SDE 1

Apr 2023 – Mar 2024 · 11 mos · Bengaluru, Karnataka, India · On-site

Amazon

SDE 1

Jul 2022 – Mar 2023 · 8 mos · Bengaluru, Karnataka, India

Developed a customer migration pipeline for 1M users across marketplaces, saving significant manual hours.
Migrated services to a new architecture, achieving a 50% reduction in Incident Management cost.
Focused on backend performance, reliability, and automation-driven solutions.