Koushtubh Vikramaditya

Software Engineer

Bengaluru, Karnataka, India1 yr 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Proficient in Java, Python, and AWS technologies.
Developed scalable backend services and optimized database performance.
Hands-on experience with data engineering and cloud modernization.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Cloud Computing and Data Engineering.

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Skills

Core Skills

JavaAwsPythonData EngineeringSpring BootReact.js

Other Skills

Generative AI ToolsGluePySparkSpring SecurityAmazon Web Services (AWS)AWS LambdaAWS GlueOrchestrationCore JavaJavaScriptC++Node.jsDsaWeb DevelopmentHTML

About

An ambitious and dedicated graduate in Computer Science Engineering, demonstrating a strong passion for technology and a keen aptitude for problem-solving. With a solid foundation in programming languages such as Java, Javascript, Nodejs, C++ and web dev, I can consistently tackle complex challenges with enthusiasm and precision. I am not only academically proficient but also actively seeks opportunities to apply theoretical knowledge in practical projects. A quick learner with excellent communication skills, I can collaborate seamlessly in team environments, contributing valuable insights. I also have proficiency in various data structures and algorithms and solved more than 700 problems on leetcode.

Experience

1 yr 11 mos

Total Experience

1 yr 7 mos

Average Tenure

4 mos

Current Experience

Amazon

Software Engineer I

Jan 2026 – Present · 4 mos · Bengaluru, Karnataka, India · On-site

Hashedin by deloitte

2 roles

Software Engineer I

Jun 2024 – Jan 2026 · 1 yr 7 mos · Bengaluru, Karnataka, India · On-site

Designed and developed scalable Spring Boot backend services, implementing robust CRUD operations and RESTful API integrations to enable seamless communication across systems.
Optimized complex database queries and business logic, significantly improving application performance, reliability, and scalability for data-intensive workloads.
Led key contributions to a mainframe-to-AWS cloud modernization initiative, leveraging AWS services (IAM, Glue, Lambda, S3) and developing Python-based Glue ETL pipelines aligned with complex business rules.
Executed data engineering tasks using PySpark, transforming and refining large datasets to support evolving business requirements and analytics use cases.
Ensured high-quality, production-ready code by following best practices, achieving 95%+ unit test coverage, and effectively collaborating with cross-functional teams and global clients.

Generative AI ToolsJavaAWS

Software Engineer Intern

Apr 2024 – Jun 2024 · 2 mos · Bengaluru, Karnataka, India · On-site

Java Spring Boot & Security: Designed and developed a full-featured Employee Management System using Spring Boot, implementing Spring Security and industry-standard coding practices to deliver a secure, scalable backend.
Frontend & Full-Stack Integration: Built a dynamic React.js application utilizing advanced features such as routing and hooks, ensuring seamless integration with backend APIs for a responsive user experience.
Python, GenAl & Data Engineering: Developed complex CRUD APIs using FastAPI, gained hands-on experience with Generative Al through LangChain and vector-based technologies, and strengthened data engineering expertise using PySpark, Python, and SQL on large datasets.

Spring BootSpring SecurityJava