Kapil Semwal

Software Engineer

New Delhi, Delhi, India0 mo experience

Key Highlights

Achieved 90% reduction in test execution time.
Designed scalable REST APIs for real-time analytics.
Implemented CI/CD pipelines, enhancing deployment efficiency.

Stackforce AI infers this person is a Backend Engineer with expertise in SaaS and automation frameworks.

Contact

kskapil08@gmail.com LinkedIn

Skills

Core Skills

JavaSpring BootCi/cdMachine LearningPython

Other Skills

AWSAgile DevelopmentAgile MethodologiesAlgorithmsAnalytical SkillsApache KafkaApplied ResearchBusiness AnalyticsCascading Style Sheets (CSS)CommunicationComplex SystemsConvolutional Neural Networks (CNN)Core JavaCritical ThinkingData Analysis

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Naukri.com

Software Engineer (SDET)

Jun 2024 – Present · 2 yrs · Noida, Uttar Pradesh, India · Hybrid

Next-Gen Test Automation Platform
Spearheaded migration of legacy Selenium-based framework to Playwright, reducing test execution time by 90%.
Automated regression test suites for multiple eCommerce modules, cutting manual QA effort by 40%.
Increased automation coverage by 60%, achieving 98%+ success rate in QA pipelines and boosting release confidence.
Intelligent API Development & Analytics Integration
Designed and deployed production-grade REST APIs in Java + Spring Boot for OTP generation, validation, and real-time analytics pipelines.
Created custom utility to automate User Behavior Analytics (UBA) validation by matching network calls with expected tracking events.
Drove adoption of shift-left testing by building integration-first suites with Rest Assured, reducing defect leakage in late-stage testing.
Continuous Delivery & Release Automation
Implemented fully automated CI/CD pipelines with Jenkins + Docker, accelerating deployment cycles and reducing release effort.
Led release activities including staging validation, smoke testing, and production rollouts, ensuring stable
deployments.
Integrated Astra (in-house LLM) APIs to auto-generate test data and test scenarios, cutting manual QA overhead by 30%.

JavaSpring BootREST API DevelopmentCI/CDJenkinsDocker+4

Amazon

Applied Scientist

Sep 2023 – Nov 2023 · 2 mos · Remote

1. Designed and implemented machine learning models using Python and AWS frameworks, focusing on scalable and efficient algorithm development for production-grade applications.
2. Collaborated with peers to architect end-to-end ML pipelines, incorporating data preprocessing, model training, and deployment using cloud infrastructure and containerization.
3. Utilized software engineering principles, including Git for version control and modular programming, to create maintainable and reusable codebases for ML solutions.

PythonMachine LearningAWSGit