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Akshitha UserAU
Open to opportunities

Akshitha User

@akshithauser

I build AI-powered SaaS products from user research through launch and retention.

India
Message

What I'm looking for

I'm looking to build AI-powered products where I can lead discovery, define measurable AI quality, automate meaningful workflows, and take products from research through launch and growth.

I founded RenTrack, taking it from user research and persona development to a live freemium SaaS product that achieved 100% month-one retention. I reduced landlord manual effort by approximately 40% through WhatsApp escalation reminders built around critical user pain points.

I also developed autonomous AI agents and multi-step LLM workflows in n8n to automate operational work. My AI product work includes LLM evaluation frameworks, golden test sets, LLM-as-a-judge scoring, AI-feature PRDs, prompt architecture, guardrails, HITL, and recovery flows.

At WiseTech Global, I reduced critical production bugs by approximately 60%, shortened regression fix-time by approximately 40% per sprint, and increased developer throughput by approximately 25% through GitHub Copilot adoption. I partnered with PMs, QA, and stakeholders on RICE prioritization, sprint planning, and technical improvements including a Spring Boot migration.

Experience

Work history, roles, and key accomplishments

WiseTech Global logoWG

Associate Software Engineer

WiseTech Global

Sep 2024 - May 2026 (1 year 8 months)

Reduced critical production bugs by 60% by introducing SonarQube as a north-star KPI and shortened regression fix-time by 40% through stakeholder alignment and a Spring Boot migration. Piloted GitHub Copilot, increasing developer throughput by 25%, and served as a Product Owner equivalent for RICE-based prioritization.

Education

Degrees, certifications, and relevant coursework

Anurag University logoAU

Anurag University

Bachelor of Technology, Computer Science and Information Technology

2020 - 2024

Grade: 9.1/10

Pursued a Bachelor of Technology in Computer Science and Information Technology, achieving a CGPA of 9.1/10.

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