Ashish kumar saini

Software Engineer

Bengaluru, Karnataka, India0 mo experience

Key Highlights

Expert in building scalable, high-performance backend systems.
Proficient in AWS and microservices architecture.
Strong problem-solving skills with a focus on performance optimization.

Stackforce AI infers this person is a Backend Engineer specializing in scalable SaaS solutions with a strong focus on performance and reliability.

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Skills

Core Skills

Backend DevelopmentAwsMicroservicesApi DevelopmentFrontend DevelopmentCi/cd

Other Skills

ALBAPI DocumentationAdaptationAgile MethodologiesAlgorithm DevelopmentAlgorithmsAmazon Web Services (AWS)Apache KafkaC++CI CDClean codeCloud ServicesCode ReviewComputer ScienceContinuous Integration and Continuous Delivery (CI/CD)

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Mathongo

SDE-1

Aug 2024 – Present · 1 yr 10 mos · Bangalore Urban, Karnataka, India · On-site

Designed and optimized 20+ high-traffic modules, delivering scalable, responsive, and seamless user experiences.
Collaborated closely with cross-functional teams to build and enhance a scalable Live Test system, improving performance through Redis, SQS, and event-driven batch processing.
Architected a highly scalable, cost-efficient system using SQS, Lambda, and Redis, ensuring reliable performance under increasing user demand.
Enhanced ECS + ALB architecture by separating read/write services, improving user experience by 50% and boosting cost efficiency.
Implemented a league-based leaderboard leveraging single-threaded Redis atomic updates, Lua scripts, and optimized sorted-set + hash operations, delivering sub-millisecond response times under heavy load.
Led monitoring, debugging, and performance-optimization efforts across AWS services, significantly improving system reliability and observability.

RedisSQSAWSECSALBMonitoring+3

Timepilot

Back End Developer

Apr 2024 – Jul 2024 · 3 mos · Remote

Architected a microservices ecosystem using Kafka, significantly improving scalability and performance while reducing system downtime by 35%.
Designed and deployed efficient RESTful APIs powered by PostgreSQL, MongoDB, and Node.js, increasing data-processing efficiency by 30%.
Orchestrated containerized applications with Kubernetes and Docker, cutting deployment times by 40% and strengthening system reliability.
Enhanced performance and UX in Chrome extensions by leveraging Service Workers, contributing to a 20% increase in user satisfaction.
Managed and optimized Jenkins CI/CD pipelines, adopting new technologies to streamline development processes and reduce errors by 25%.

KafkaPostgreSQLMongoDBNode.jsKubernetesDocker+3