Leapfrog Technology
Charkhal, Kathmandu
May 2025 — Present
Lead Engineer
CurrentJul 2026 — Present
- Drive the AI SDLC framework for company-wide adoption, defining how teams use AI across planning, development, testing, code review and delivery.
- Partner with cross-functional teams and projects to embed AI into their SDLC, tailoring workflows and tooling to each team's process.
- Delivered a 3x productivity boost on projects, measured by story point throughput.
- Set technical direction and architecture standards across projects, reviewing designs for scalability, security and cost.
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- Mentor and grow engineers through design reviews, pairing and career coaching.
- Define engineering quality gates, including AI-assisted code review, testing and documentation practices.
- Work with delivery managers and stakeholders on estimation, planning and technical risk.
- Evaluate emerging AI tools and models, turning the useful ones into shared guidelines and reusable templates.
Senior Software Engineer
May 2025 — Jun 2026
- Led the development of RAG-based chatbots with conversational memory and spearheaded a presales AI agent built on AWS Strands.
- Implemented an AWS serverless architecture for the MCP RAG Starter Kit, enabling scalable, cost-efficient AI-powered applications.
- Directed project architecture and technical strategy, mentoring junior developers on scalability, performance and maintainability.
- Designed backend systems in Python, Node.js and Go with Next.js frontends, integrating DynamoDB and DocumentDB.
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- Oversaw deployments on AWS ECR, ECS, EC2 and Lambda for smooth, reliable production releases.
- Ran company-wide training on AI development tools for developers and QA engineers, and partnered with the People team on hiring.
- Upheld code quality and security through code reviews, performance profiling and protection against SQL injection, XSS and other vulnerabilities.
- Collaborated with designers, QA engineers and project managers to align technical solutions with business goals.