Sr. Full Stack Developer · Kathmandu, Nepal

Roshan Shrestha

Senior Full Stack Dev at ZenLedger, shipping code that doesn't break (most of the time 🫡). Big on AI/ML — published ACM research on CNN face recognition, vibing with LLMs, RAG pipelines & prompt engineering. Learning, coding, growing every day.

10+
Years experience
100K+
Users served
50+
Tests written
Primary stack
Ruby on Rails React / Next.js Python LLMs & RAG PostgreSQL Docker AWS TensorFlow
Open to remote full-stack roles 27.7°N · 85.3°E · UTC+5:45 · Kathmandu
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Tech I reach for RRuby on Rails React PyPython AWS PPostgreSQL Docker

Experience

01 / 06
Dec 2022 – Present
WhiteHat Engineering
Remote
Sr. Software Engineer
  • Entire backend architected with Ruby on Rails following SOLID principles for scalability and maintainability.
  • Wrote 50+ RSpec unit tests for legacy code covering CSV imports and ERC token liquidity pool transactions.
  • Led production incident response, restoring services within agreed SLAs and minimising business impact.
  • Built and monitored Datadog dashboards for APM services including AWS EFS storage alarms.
Ruby on Rails RSpec AWS Datadog Blockchain
Jan 2020 – Nov 2022
Enliv Technology
Kathmandu, Nepal
Software Developer
  • Implemented targeted solutions for a large monolith application, increasing operational efficiency by 20%.
  • Designed RESTful APIs with full documentation; led two junior developers across multiple SaaS products.
  • Reduced report generation time by 50% and query execution time by 40% through benchmarking and subqueries.
  • Initiated dependency upgrades ensuring compatibility with modern frameworks and libraries.
RESTful APIs PostgreSQL Django Vue.js Performance

Services

02 / 06
Full Stack Product Engineering
Long-term

End-to-end web app development from architecture to deployment. SaaS platforms, dashboards, internal tools — the whole stack, shipped clean.

  • Ruby on Rails & Django backends
  • React / Next.js / Vue frontends
  • PostgreSQL, Redis, Mongo data layer
  • AWS / Docker deployment & CI/CD
AI & LLM Integration
Project

Bring AI into your product the right way. RAG pipelines, semantic search, custom agents — production-ready, not just demos.

  • OpenAI / Claude / open-source LLM APIs
  • RAG with vector databases
  • Prompt engineering & eval
  • AI feature scoping & architecture
Performance & Scaling Audits
Sprint

Slow queries, growing infra bills, flaky deploys. I'll diagnose the bottlenecks and ship measurable wins — past clients saw 40–50% improvements.

  • Database query optimisation
  • API response time profiling
  • AWS cost & architecture review
  • Datadog observability setup
Technical Consulting
Hourly

Stuck on architecture decisions? Code reviews, system design sessions, and team mentoring with a senior engineer perspective.

  • Architecture & tech stack reviews
  • Code reviews & refactor strategies
  • Hiring & tech interview support
  • 1:1 mentoring for junior devs

Projects

03 / 06
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Skills

04 / 06
Languages
RubyPythonJavaScriptTypeScriptSQLES6+
Frameworks
Ruby on RailsDjangoReactNext.jsVue.jsNuxt.jsRedux
Cloud & DevOps
AWSDigitalOceanDockerFirebaseWebpackGitDatadog
Databases
PostgreSQLMySQLMongoDBDynamoDBRedisMemcache
Architecture
MicroservicesREST APIsSOLIDSaaSMonolith
AI / ML
LLMsRAGPrompt Eng.TensorFlowCNNOpenAI API
Testing & Monitoring
RSpecUnit TestingPerf. TestingDatadog APM

Education

M.E. Computer Engineering
Pokhara University
2016 – 2019
B.E. Information Technology
Pokhara University
2010 – 2014

Publication

Face Recognition Based on Shallow Convolutional Neural Network Classifier
Association for Computing Machinery (ACM)
2020 · Co-authored with Sanjeeb Prasad Panday

Capabilities

05 / 06
01
Backend Engineering
Scalable API design, SOLID architecture, and production-grade Ruby on Rails systems serving thousands of users.
Ruby on Rails Django REST APIs RSpec
02
Frontend Development
Modern React and Vue applications with TypeScript, state management, and performance-first development.
React Next.js Vue.js TypeScript
03
Cloud & Infrastructure
AWS services, Docker containers, monitoring dashboards, and CI/CD pipelines for reliable deployments.
AWS Docker Datadog Firebase
04
AI / ML Engineering
Published ACM researcher on CNN face recognition. Building with LLMs, RAG pipelines, and prompt engineering — turning vibes into shippable products.
LLMs RAG CNN TensorFlow

Contact

06 / 06
let's cook something 🔥

Open to remote full-stack & AI engineering roles. ACM-published, M.E. Computer Engineering, based in Nepal. Slide into my DMs — I respond fast.