Durgesh Kumar

Software Engineer

Bengaluru, Karnataka, India2 yrs 11 mos experience

Highly StableAI Enabled

Key Highlights

Achieved 1,000x improvement in processing efficiency.
Automated reporting workflows for near real-time submissions.
Led successful goAML rollout for major banking client.

Stackforce AI infers this person is a Backend-focused Software Engineer in the Fintech industry.

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Skills

Core Skills

JavaSpringCloud ComputingClient ManagementMicroservices

Other Skills

DockerKubernetesConcurrency frameworksAPI IntegrationCustomizationsSocketsOracle Enterprise Resource Planning (ERP) CloudCloud ApplicationsOracle CloudSystems DesignKotlinAndroid StudioAndroid SDKAgentic AIArtificial Intelligence (AI)

About

As a Software Development Engineer at Oracle Financial Services, I specialize in implementing high-throughput solutions using Java, Spring, and concurrency frameworks. My contributions include designing a scalable bulk export system that increased processing efficiency by 1,000x and automating reporting workflows through API integration, enhancing operational efficiency and timeliness. A graduate of Motilal Nehru National Institute of Technology in Electrical Engineering, I bring expertise in Java concurrency, cloud computing, and sockets to deliver robust and efficient backend solutions. I am motivated to leverage my technical skills and certifications, including Java Spring Framework and cloud services, to drive impactful software innovations.

Experience

2 yrs 11 mos

Total Experience

2 yrs 11 mos

Average Tenure

2 yrs 11 mos

Current Experience

Oracle financial services software limited

Software Development Engineer 1

Jun 2023 – Present · 2 yrs 11 mos · Bengaluru · Hybrid

Designed and implemented a high-throughput bulk export solution in Java/Spring, replacing a manual 5–6
files/min download process with a ThreadPoolExecutor based concurrent architecture, increasing throughput
to 5,000+ XML files per minute (1,000x improvement), substantially reducing client turnaround time.
Automated end-to-end E-file submission to FINTRAC by integrating FINTRAC APIs into the backend
workflow, eliminating a previously 100% manual upload process and enabling near real-time report
submission immediately after file generation, significantly improving reporting timeliness and operational
e!ciency.
Reduced development turnaround time by up to 40% by leveraging AI-assisted coding, debugging and
documentation workflows, accelerating feature delivery.
Took end-to-end ownership of client implementation and support for One Major Client Bank’s first
time goAML rollout, delivering critical customizations to the OOTB product and ensuring a smooth and
successful production adoption.
Deployed and operated backend microservices on Oracle Cloud Infrastructure (OCI) using Docker &
Kubernetes, ensuring scalability, fault tolerance, and SLA compliance; automated CI/CD pipelines
to reduce release cycles by→20% and minimize deployment failures.
Investigated and resolved production issues by performing root cause analysis (RCA), analyzing logs and
system behavior, and implementing robust fixes to improve system stability and reliability.