AI/ML engineer shipping production models: trained systems, scalable APIs, and native mobile experiences.

I turn models into usable products, from training and inference to Python backends, mobile interfaces, and delivery that feels ready for real users.

How I build

A proven approach to shipping products.

I build AI/ML systems, ship Python backend services, and design Flutter experiences with a strong product finish. I care about work that is useful, maintainable, and ready to be used.

01
Model Architecture & Research

Select architectures for accuracy and latency. Plan inference efficiency early, sketch API contracts, define success metrics before building.

02
Backend Infrastructure & APIs

Build production-grade inference pipelines with FastAPI or Django. Implement caching, async jobs, monitoring, and deployment readiness from day one.

03
Mobile Integration & Delivery

Integrate APIs into Flutter with offline support, optimized UX for real-world constraints, and polished states. Ship with confidence and grace.

Projects

Selected work across AI/ML, backend, and Flutter.

A smaller set of projects that best shows the range: AI systems, backend thinking, and product-minded Flutter work.

AI product case study

Documentify

Document analysis experience combining AI-backed Q&A, structured processing, and a Flutter product surface.

Built a document-focused product that connects AI-assisted analysis with a clear mobile-style interface instead of leaving the work as a model demo.

Document Q&A workflow
AI-backed analysis features
Flutter product interface
Computer vision case study

Facial Emotion Recognition System

Facial emotion recognition pipeline built around image preprocessing, model inference, and real-time emotion detection.

Focused on turning computer vision work into a project with clearer inference flow, model output, and practical real-world use.

OpenCV and model pipeline
Emotion classification workflow
Inference-ready structure
Flutter product case study

AI Chat Bot Flutter

Flutter app with polished chat UX, local persistence, and live model interaction.

Designed a mobile AI experience with clear conversation states, responsive layouts, and product-style visual polish.

Gemini-backed chat flow
Persistent local history
Responsive Flutter UI
About

AI/ML systems, dependable backend engineering, and polished Flutter delivery.

I prefer clean experiments, readable systems, and delivery that holds up after launch.

AI/ML workflows, dependable Python backends, and Flutter apps built with production discipline.

Most of my work sits where models, APIs, and product surfaces need to work together without feeling stitched together. I care about AI features and reliable backend services that are backed by clear, fast, and dependable interfaces.

Built around practical delivery, not buzzwords

Stack I actually use

AI/ML, Python backend, Flutter apps

AI / ML

PythonPyTorchModel APIsData PipelinesRAG ConceptsPrompt Workflows

Python Backend

FastAPIREST APIsAsync TasksPostgreSQLAuthenticationDeployment Basics

Flutter Apps

FlutterDartResponsive UIApp ArchitectureState ManagementAnimations
Experience

Work and education.

Open a card to see the current role, delivery scope, and study focus.

Work

AI/ML Engineer Intern

Nepal Telecom

Django chatbot backend work across retrieval, live package data, async jobs, and production-facing support flows.

Jan 2026 - Mar 2026CompletedDetails

Built and maintained a production-oriented Nepal Telecom chatbot backend spanning retrieval, live package data, conversation state, caching, and backend delivery.

Built and maintained backend chatbot flows around Django REST, conversation state, and multilingual support behavior.
Worked on retrieval, live CMS-backed package data, and backend logic for grounded telecom support responses.
Shaped the system toward production use with caching, async refresh tasks, FAISS indexing, and broad API tests.
Education

B.Sc. CSIT

Amrit Campus

Computer science fundamentals paired with active AI/ML, Python backend, and Flutter project work.

Apr 2022 - Mar 2026CompletedDetails

Coursework spanning programming foundations, core systems, databases, artificial intelligence, software engineering, web delivery, project work, internship-based learning, and selected electives in multimedia, commerce, project management, and cloud topics.

Sem I-IIProgramming foundations

Introduction to IT, C Programming, OOP, Digital Logic, Discrete Structure, Microprocessor

Sem III-IVCore CS and systems

DSA, Numerical Method, Computer Architecture, Computer Graphics, DBMS, OS, Networks, AI

Sem V-VISoftware, web, and electives

Design and Analysis of Algorithms, System Analysis and Design, Cryptography, Simulation and Modeling, Web Technology, Multimedia Computing, Software Engineering, Compiler Design and Construction, E-Governance, NET Centric Computing, Technical Writing, E-commerce

Sem VII-VIIIAdvanced work and internship

Advanced Java Programming, Data Warehousing and Data Mining, Principles of Management, Project Work, Software Project Management, Advanced Database, Internship, Introduction to Cloud Computing, Geographical Information System

Contact

Fast contact.

If there is a role, project, or collaboration in mind, a short note is enough.

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Usually replies within a day

Practical AI features, Python APIs, and polished Flutter delivery.

Open to AI/ML, backend, and Flutter roles.

Based inKathmandu, Nepal
Best forAI/ML features, Python APIs, and Flutter app delivery

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