Anish Ghimire

• Led a team of 3-4 engineers, owning task assignment, backlog management, prioritization, code reviews, releases, and day-to-day technical coordination.
• Participated in hiring and interviews, onboarded 3 engineers, and provided performance feedback in collaboration with the CTO and CEO.
• Prioritized work based on customer impact, urgency, product value, technical risk, and available resources.
• Broke larger features into smaller deliverables and shipped usable versions incrementally.
• Coordinated parallel development across feature work, technical debt, maintenance, and customer issues.
• Worked directly with customers to troubleshoot issues, understand requirements, assess feasibility, and communicate limitations and alternatives.
• Mentored engineers on implementation approaches, architecture, testing, code quality, and maintainability.
• Reviewed technical approaches and implementations, discussing trade-offs, edge cases, and extensibility before and during development.
• Owned release decisions, production validation, feature flags, incident handling, hotfixes, and rollback decisions.
• Incrementally decomposed the monolith to introduce API support while keeping existing application flows on shared services.
• Separated high-volume audit data into a dedicated MySQL database without introducing another database technology.
• Contributed to migrating the backend from Kotlin to AdonisJS.
• Built a Go-based service for server and site health reporting and alerts.
• Continued contributing to Cleavr part-time under Vistafari LLC, including API and audit logging features, product improvements, and maintenance.

• Develop production applications using Python/Django, Vue.js, PostgreSQL, and PrimeVue.
• Contribute to the migration of two production carbon-credit platforms into a unified platform while maintaining backward compatibility.
• Participate in architecture and migration planning across schema design, existing data, legacy IDs, and phased migration.
• Proposed a model combining generic entities with asset-specific models instead of storing asset-specific data in JSON.
• Implement data migration across different schemas while keeping existing platforms operational during the transition.
• Previously worked on a procurement platform, implementing dashboards, real-time EoI/RFx status, Excel-based data processing, localization, pagination, search, and document management.

• Developed features, UI improvements, and bug fixes using Vue.js and Vuetify.

• Developed web application features and API endpoints using JavaScript, Node.js, and AngularJS.

Kueon | Competitor Intelligence Platform

• Built a SaaS platform for monitoring competitor pricing pages, changelogs, and keyword mentions across Reddit and Hacker News.
• Designed shared monitoring so the same pricing/changelog page is scraped and analyzed once, and keywords tracked across multiple products require a single Reddit API request, reducing duplicate scraping, extraction, LLM processing, API usage, and cost.
• Built alerting that groups events since the previous notification, avoiding duplicate alerts for the same conversation mention or pricing/changelog update, and built the backend, frontend, data model, and monitoring workflows.

Ch8r | AI-Powered Customer Support Platform

• Designed and developed an AI-powered customer support platform with an embeddable widget and API using Django, Vue.js, MySQL, Qdrant, Cloudflare, and Gemini.
• Implemented RAG and tool calling for context-aware customer support.
• Built application-level data isolation, conversation insights, human escalation, and project management integrations.