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Open to workKathmandu, Nepal
About · full profile

Senior full-stack & AI/ML engineer

Full-stack and AI/ML engineer with 5+ years of experience building scalable platforms and AI-driven solutions for global teams. Strong in TypeScript, Go, Python, and cloud, with a track record of optimizing performance and data pipelines. Focused on shipping products that last.

Years building

+

Production web, APIs, data & AI

Core stack

TS · Go · Py

Next.js, NestJS, cloud-native

Base

Nepal

Remote-friendly worldwide

Timeline

Professional experience

Alternating view on large screens: milestones on one side, detail cards on the other, with a shared center spine. On mobile, a simple vertical track.

2023 to present

WiseAdmit

Aug 2023 – present

Senior Fullstack & AI/ML Engineer

WiseAdmit · Kathmandu

  • Led distributed engineering across the US and Nepal; scaled B2B/B2C platforms for 50k+ MAUs with a CI/CD-driven culture.
  • Architected a scalable AI video interview platform (10k+ concurrent users), custom LLM embedding services, and engagement-focused ML: chatbot fine-tuning, OCR for document verification, and social sentiment for visa scoring.
  • Directed a global cloud migration to Singapore: ~40% lower APAC/MENA latency and ~25% cloud cost reduction via resource optimization.
  • Accelerated enterprise onboarding ~70% with self-provisioning deployments; ~18% student conversion lift from API refactors and analytics-driven decisions (Clarity, GA).
  • Modernized frontends with edge rendering (~30% faster loads) and an ABAC security model that cut manual role work ~75%.

2022 to 2023

Leanq Digital

Jul 2022 – Jun 2023

Full Stack Engineer

Leanq Digital · Kathmandu

2022 (freelance)

Freelance

Jan 2022 – Jun 2023

Full Stack Engineer

Freelance · Remote

2021

Hidden Layer Nepal

Jun 2021 – Dec 2021

Full Stack Engineer (Intern)

Hidden Layer Nepal · Kathmandu

How I work

Principles that shape delivery

A few non-negotiables when collaborating with teams: clarity, systems thinking, and pragmatic use of AI and data.

Ship with signal

Roadmaps follow production metrics, user feedback, and logs, not slide decks. Every release ties back to a measurable outcome.

Platforms over one-offs

APIs, contracts, and documentation that let teams parallelize. Less heroics, more systems that keep working when you step away.

AI that earns its place

LLMs and classical ML when they cut cost, risk, or time: OCR, embeddings, scoring. Not because the stack "needed AI."

Education

Academic background

Dual-major CS at Taylors University: artificial intelligence and data science, alongside core systems, algorithms, and software engineering practice.

Bachelor of Computer Science

Taylors University

Malaysia · May 2023 – May 2027

  • Artificial Intelligence (Major)
  • Data Science (Second Major)
  • Dual major balances rigorous CS foundations with applied ML, data engineering, and research-style projects.
  • Coursework spans algorithms, systems, statistics, deep learning, and MLOps-style delivery.

Focus now

Study + shipping in parallel

Applying ML and data coursework directly to production constraints: latency, evaluation, and responsible deployment in real products.

Credentials

Certificates & programs

Formal credentials across algorithms, deep learning, data science, cloud architecture, ML practice, and engineering leadership.

Stack

Tech stack

Everything in one place: filter by category, hover tiles for emphasis, and jump to formal credentials when you want proof.

View certificates and programs for third-party credentials behind this stack.

JavaScriptLanguages
TypeScriptLanguages
PythonLanguages
GoLanguages
ReactLibraries & frameworks
Next.jsLibraries & frameworks
NestJSLibraries & frameworks
FastAPILibraries & frameworks
ExpressLibraries & frameworks
GinLibraries & frameworks
FastifyLibraries & frameworks
GraphQLLibraries & frameworks
g
gRPCLibraries & frameworks
MongoDBDatabases
PostgreSQLDatabases
RedisDatabases
MySQLDatabases
TensorFlowAI / ML
Scikit-learnAI / ML
OpenAIAI / ML
QdrantAI / ML
Neo4jAI / ML
TransformersAI / ML
OpenCVAI / ML
NLTKAI / ML
AWS SageMakerAI / ML
AWSDevOps & cloud
GCPDevOps & cloud
DockerDevOps & cloud
KubernetesDevOps & cloud
GitHub ActionsDevOps & cloud
PrometheusDevOps & cloud
GrafanaDevOps & cloud
CeleryDevOps & cloud
KafkaDevOps & cloud
RabbitMQDevOps & cloud
BullMQDevOps & cloud

37 tools total

Projects

Case studies and builds live on the home page.

Eradicate, TinyChat, Rivvo (sales agent), EmberPOS, Redis-in-Go, and other experiments: from tooling to production user flows.

View selected work