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arti yadavAY
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arti yadav

@artiyadav1

I build high-throughput Java data platforms and distributed systems with reliable, low-latency event streaming.

India
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What I'm looking for

I'm looking to build scalable, low-latency distributed systems and data platforms where I can improve reliability, observability, performance, and infrastructure efficiency.

I've engineered Java and Spring Boot backend services at Cloud Angles for Personify Health, serving millions of active users with 99.9% uptime and strict platform SLAs.

I build high-throughput distributed systems and data platforms, including Kafka event-streaming pipelines with custom partitioners and idempotency patterns for reliable cross-platform synchronization. I use telemetry tracing to uncover execution bottlenecks and reduce latency to sub-second speeds.

Previously at Moglix, I re-architected data discovery, catalog search, and inventory systems using Java, Python, Elasticsearch, and Redis, improving catalog query accuracy by 30% and lowering retrieval latency by 25%.

I've also developed Java, Spring Boot, and PostgreSQL APIs at Publicis Sapient, and I bring a strong foundation in Core Java, multithreading, data structures, and object-oriented design from Nagarro. I value TDD, scalable design, practical cost optimization, and mentoring engineers on robust backend architecture.

Experience

Work history, roles, and key accomplishments

CA
Current

Senior Software Engineer

Cloud Angles

Feb 2024 - Present (2 years 7 months)

Engineered and optimized high-throughput backend services in Java/Spring Boot serving millions of active users while maintaining 99.9% system uptime and strict platform SLAs. Implemented system observability and telemetry tracing workflows to eliminate performance bottlenecks and lower latency to sub-second speeds.

Education

Degrees, certifications, and relevant coursework

UIET, Kurukshetra University logoUU

UIET, Kurukshetra University

Bachelor of Technology, Computer Science and Engineering

2017 - 2021

Grade: 8.51/10

Pursued a Bachelor of Technology in Computer Science and Engineering, achieving a CGPA of 8.51/10.

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