Tech Lead & AI Engineer
Stealth AI
Working around AI systems in stealth mode.
About Me
Software Engineer | AI Systems Integration | Scalable AI-Powered Applications
I work at the intersection of AI engineering and backend systems, building scalable APIs, reliable architectures, and practical AI integrations that hold up in production. I focus on clean system design, performance-aware development, and engineering workflows that scale with complexity. I actively share what I learn, guide beginners, and believe strong engineering grows through structured thinking, iteration, and collaborative problem-solving.
Experience
Tech Lead & AI Engineer
Stealth AI
Working around AI systems in stealth mode.
Tech Lead & AI Engineer (Contract)
Tabflux.com
Leading backend and AI development while coordinating a cross-functional engineering team to deliver scalable production systems.
Backend Engineer
Meraki Techs
Designed and implemented backend services for production systems, building scalable APIs for healthcare and enterprise platforms while ensuring high performance and reliability.
Junior Backend Developer
Meraki Techs
Owned Django/Django REST Framework workstreams, PostgreSQL schema design, and integrations that kept cross-functional partners moving quickly.
Web Developer Intern
Sofsee Tech
Delivered responsive marketing sites and client microsites using WordPress, collaborating closely with design and account leads.
Computer Instructor
IT Zone Computer Education
Taught foundational computer skills to students and beginners as part of a practical computer literacy program.
Education
Bachelor’s in Electronics, Communication & Information Engineering
Institute of Engineering, Tribhuvan University · Thapathali Engineering Campus
Microdegree in Artificial Intelligence
FuseAI School, Fuse Machines
Inter Computer Science, NEB
Mahendranagar Model Secondary School (Sadharan)
Other Experience
Delivered production-grade backend APIs and AI-powered workflows (including RAG pipelines) for early-stage startups, owning architecture, deployment, and feature delivery end-to-end.
Contributed to open-source efforts, campus platforms, and pursued advanced certifications while sharing knowledge through workshops and mentoring.
Many developers believe FastAPI is faster simply because it uses async, but that is only partially true. This guide explains how async actually works inside FastAPI, why it improves concurrency for I/O-bound workloads, when it does not improve performance, and the common mistakes developers make when using async in production APIs.
Database queries are the primary performance bottleneck in many Django applications. In this guide, we build a practical multi-layer caching strategy using Redis. Starting with a baseline Django API, we measure response times, introduce caching step-by-step, and analyze how each caching layer improves performance while addressing cache invalidation, data consistency, and production pitfalls.
Deploying a FastAPI application to a production server is an essential skill for backend engineers. In this guide, we will go step-by-step through the entire process of deploying a FastAPI application on an Ubuntu server, starting from server setup to running the application with a production server and configuring a reverse proxy.
A concise email whenever a new technical post is published.