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Open to senior / FDE opportunitiesKathmandu, Nepal
About · full profile

Senior Software Engineer — AI Platform, Cloud & Forward-Deployed Engineering

Senior Software & AI Engineer with 5+ years of experience building and scaling SaaS, AI-agent, distributed, and cloud platforms. I lead technical delivery across distributed teams in Nepal and the US, supporting 50K+ MAUs while improving AI capabilities, AWS efficiency, reliability, security, and platform performance. Hands-on with TypeScript, Python, Go, distributed systems, LLM agents, and AWS.

Years building

+

Production platforms, cloud & AI

Platform scale

50K+ MAU

B2B/B2C admissions products

Core focus

AI · Systems · Cloud

Forward-deployed engineering

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 Software Engineer — AI Platform, Cloud & Forward-Deployed Engineering

WiseAdmit · Kathmandu

  • Engineering leadership & technical strategy: led distributed teams across Nepal and the US supporting 50K+ MAUs, owning architecture, technical planning, critical code reviews, production delivery, engineering standards, and cross-team technical direction while aligning engineering priorities with product and business goals.
  • Architected WiseAdmit's shared AI platform for LLM admissions assistants, university agents, LangGraph workflows, conversational memory, RAG/semantic retrieval, governed tool execution, program intelligence, and reusable organization-wide AI capabilities.
  • Built AI-powered WhatsApp and admissions workflows combining intent routing, qualification, conversation scoring, automated follow-ups, program recommendation, contextual memory, and human escalation.
  • Owned production AWS architecture across compute, networking, storage, CDN, databases, caching, queues, IAM, serverless workloads, and observability; drove rightsizing, caching, and infrastructure redesign that reduced cloud spend by ~25% and APAC/MENA latency by ~40%.
  • Led Core Web Vitals, caching, CDN, ISR/SSG/SSR, technical SEO and GEO work across thousands of program and university pages, improving origin efficiency, crawlability, structured data, and AI-search discoverability.
  • Introduced ABAC-based multi-tenant authorization, secure AI-tool boundaries, worker/queue patterns, observability, deployment controls, and incident-response practices across student, university, recruiter, and administrative systems.

2022 to 2023

Leanq Digital

Jul 2022 – Jun 2023

Full Stack Engineer

Leanq Digital · Kathmandu

2022 to 2023

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.

Own the system

Architecture, delivery, observability, cost, and production behavior are part of the same engineering problem—not separate handoffs.

Platforms over one-offs

Build shared APIs, agent capabilities, infrastructure, and contracts that let multiple products and teams move faster without repeating the same work.

AI with guardrails

Use LLMs where they improve decisions or automation, with retrieval, state, permissions, and human escalation designed into the workflow.

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

Taylor's University

Malaysia · May 2023 – May 2027

  • Artificial Intelligence (Major)
  • Computer science studies focused on artificial intelligence alongside continued production engineering work.

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
Node.jsBackend & distributed systems
NestJSBackend & distributed systems
ExpressBackend & distributed systems
FastAPIBackend & distributed systems
GinBackend & distributed systems
GraphQLBackend & distributed systems
g
gRPCBackend & distributed systems
RedisBackend & distributed systems
KafkaBackend & distributed systems
RabbitMQBackend & distributed systems
BullMQBackend & distributed systems
MongoDBDatabases
PostgreSQLDatabases
MySQLDatabases
QdrantDatabases
Neo4jDatabases
OpenAIAI & agents
L
LangChainAI & agents
L
LangGraphAI & agents
R
RAGAI & agents
M
MCPAI & agents
E/v
Embeddings / vector searchAI & agents
Ms
Multi-agent systemsAI & agents
HF
Hugging FaceAI & agents
P
PyTorchAI & agents
E
EC2AWS & platform
E/E
ECS / ECRAWS & platform
L
LambdaAWS & platform
S
S3AWS & platform
C
CloudFrontAWS & platform
R
RDSAWS & platform
E
ElastiCacheAWS & platform
S/S
SQS / SNSAWS & platform
R5
Route 53AWS & platform
I
IAMAWS & platform
V
VPCAWS & platform
C
CloudWatchAWS & platform
E
EventBridgeAWS & platform
DockerAWS & platform
KubernetesAWS & platform
GitHub ActionsAWS & platform

45 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