saisyama paruchuru

Software Engineer

Bengaluru, Karnataka, India3 yrs 11 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

2+ years of experience in scalable software solutions.
Expert in Java and Spring Boot for fintech applications.
Proven track record in optimizing performance and stability.

Stackforce AI infers this person is a Fintech Software Engineer with strong backend development skills.

Contact

saisyama31@gmail.com LinkedIn

Skills

Core Skills

JavaSpring BootKubernetes

Other Skills

Apache KafkaBootstrapCC (Programming Language)C++Cascading Style Sheets (CSS)Database Management System (DBMS)DockerElastic SearchExpress.jsHTMLHigh-Level DesignJavaScriptLinuxLow-Level Design

About

I am a Software Development Engineer (SDE-2) at Zeta with 2+ years of experience in building scalable and efficient software solutions. I have a strong passion for problem-solving, system design, and software architecture. Let’s connect and discuss software engineering, product scalability, or exciting opportunities in tech! 🔹 Languages: Java, C, C++, Shell Script 🔹 Frameworks: Spring Boot, Vue.js 🔹 Tech Stack: MERN (MongoDB, Express.js, React, Node.js) 🔹 CI/CD: Jenkins, Groovy Scripts 🔹 Technologies: Temporal, Docker, Kubernetes, Linux, Redis github id: https://github.com/saisyama31 codechef: https://www.codechef.com/users/saisyama

Experience

3 yrs 11 mos

Total Experience

3 yrs 11 mos

Average Tenure

3 yrs 11 mos

Current Experience

Zeta

3 roles

SDE 2

Jul 2024 – Present · 1 yr 11 mos

SDE

Jul 2022 – Jul 2024 · 2 yrs

Developing the Next-Gen banking techstack.
Played a key role in streamlining the automated onboarding process for new tenants (banks) at Zeta using operator pattern.
Mitigated and resolved concurrency issues in aether service, enhancing application stability and performance.
Worked on enhancing account-holder search capability using elastic-search.
Engaged in multiple projects involving workflow engines(temporal) and asynchronous APIs.
Optimized query performance from 2 seconds to 200 ms, significantly improving efficiency.

temporalJavaKubernetesSpring BootElastic Search