Prazeina Maharjan
@prazeinamaharjan
Software Development Engineer in Test leading automation-first quality engineering across UI, API, mobile, and backend layers.
What I'm looking for
I’m a Software Development Engineer in Test (Lead) focused on building automation-first, continuous testing systems that keep high-growth FinTech SaaS platforms dependable. I specialize in scalable, maintainable test frameworks across UI, API, mobile, and backend layers—so quality is measurable, repeatable, and fast.
At ZenLedger.io, I architected a POM-based Cypress automation framework with Appium iOS coverage, driving major improvements in regression coverage and reducing manual effort. I own release quality and defect escalation through Datadog dashboards, Slack alerts, and GitHub Actions quality gates, cutting defect turnaround time to 1–2 hours, while translating customer workflows into regression suites across many exchanges and wallets.
I also drive performance and load testing with k6 and strengthen test reliability by validating backend test data and transaction flows with PostgreSQL and observability tooling. I mentor QA engineers and actively apply GenAI/LLM tooling to generate test cases, analyze flaky tests, and prioritize testing—alongside building LLM evaluation harnesses to catch hallucinations and improve RAG quality.
Experience
Work history, roles, and key accomplishments
Graduate Research Assistant
East Texas A&M University
May 2025 - May 2026 (1 year)
Engineered an end-to-end ETL pipeline and model-evaluation framework for GPS spoofing detection on UAV trajectories, benchmarking discrete and continuous-time deep sequence models across varying observation drop rates, sequence lengths, and cross-domain datasets.
Architected a POM-based Cypress automation framework with Appium iOS test coverage, expanding regression coverage by 30% and reducing manual testing effort by 50%. Owned release quality using Datadog dashboards, Slack alerts, and GitHub Actions quality gates, and led performance/load testing with k6 alongside Datadog and RDS observability.
Education
Degrees, certifications, and relevant coursework
East Texas A&M University
Master of Science, Computer Science
2025 - 2026
Grade: 3.83/4.00
Master of Science in Computer Science (Jan 2025–May 2026). Conducted graduate research on an ETL and model-evaluation framework for GPS spoofing detection on UAV trajectories.
Tribhuvan University
Bachelor of Engineering, Computer Engineering
2015 - 2019
Grade: 3.31/4.00
Bachelor of Engineering in Computer Engineering (Nov 2015–Sep 2019).
Availability
Location
Authorized to work in
Job categories
Skills
Interested in hiring Prazeina?
You can contact Prazeina and 90k+ other talented remote workers on Himalayas.
Message PrazeinaGet matched with your dream remote job
Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!
