Krishna Shankar

Software Engineer

Tokyo, Japan4 yrs 9 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Proven ability to build scalable applications.
  • Improved backend performance by over 30%.
  • Led delivery of complex workflow engines.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with experience in Fintech and Government sectors.

Contact

Skills

Core Skills

Spring BootVue.jsTerraformRestful ApisS3PythonAirflowKafka

Other Skills

APIAPIsApplied Machine LearningC++CDNCI/CDCSSChatGPTData ScienceDevOpsExpressExpress.jsGitHTMLInformatica Cloud

About

Software Engineer with 3.5+ years of experience in Java and JavaScript, with strong skills in backend development and cloud deployment. Proven ability to build scalable, high-performance applications and deliver measurable results in agile teams.

Experience

Goldman sachs

Software Developer - Inventory Management

Sep 2025Present · 6 mos · Tokyo, Japan · On-site

Accenture japan

Software Engineer

Nov 2023Sep 2025 · 1 yr 10 mos · Tokyo, Japan

  • Contributed to a secure govt platform, improving backend performance and throughput by over 30%.
  • Led delivery of a role-based workflow engine for inter-department approvals, guiding 3 devs under compliance constraints.
  • Integrated Spring Boot APIs with Vue.js frontend, cutting UI/API sync bugs by 50% across multi-role workflows.
  • Designed RBAC, session control, and audit logging to ensure 100% access compliance with government security policies.
  • Improved CI/CD and wrote Terraform modules, cutting deployment time by 60% and ensuring infra consistency across stages.
Spring BootVue.jsTerraformCI/CDAPI

Arivihan technologies

Back End Developer

Aug 2022Nov 2023 · 1 yr 3 mos · Bengaluru, Karnataka, India

  • Developed CRUD endpoints for carousel, enhancing app functionality, resulting in a 25% increase in user engagement.
  • Created a robust RESTful APIs to handle Excel file uploads with data validation, reducing processing time by 40%.
  • Deployed a method to upload customer invoices to S3 and used a CDN for file sharing, improving access speed by 50%.
RESTful APIsS3CDN

Mahindra finance

Data Scientist

Jul 2021Aug 2022 · 1 yr 1 mo · Mumbai, Maharashtra, India

  • Improved credit risk models, boosting prediction accuracy by 15% and optimizing a portfolio of 1 M+ borrowers.
  • Automated data pipelines with Airflow and Lambda, reducing processing time by 40% and streamlining integration.
  • Contributed to real-time streaming pipelines with Python, Kafka, and Redis for instant loan risk monitoring.
AirflowPythonKafkaRedis

Education

Indian Institute of Technology, Roorkee

Bachelor of Technology - BTech

Jun 2017Jul 2021

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