London, UK · Software Engineering · Applied AI

DEEPAK

BHATTARAI

I build production software, intelligent systems and real-time platforms — combining nine years of software engineering with an MSc in Artificial Intelligence with Distinction.

Software Engineer × AI/ML Engineer

Experience

9+ years in software

Academic

MSc AI · Distinction

Focus

Applied AI + production systems

Nine years building software. Now combining production engineering with artificial intelligence.

MSc Artificial Intelligence with Distinction from London Metropolitan University.

My work spans full-stack and mobile products, deep-learning research, LLM-enabled assessment, real-time inference, public-data automation and cloud/VPS deployment.

9+

Years in software engineering

Distinction

MSc Artificial Intelligence

AI + Software

Production systems

2026 — Present

Freelance AI & Full-Stack Developer

Independent · London / Remote

Building AI-enabled learning, assessment and public-data platforms with FastAPI, PostgreSQL, Next.js, LLM APIs, real-time media workflows and production deployment.

2024 — 2026

PHP Developer

School of Dental Nursing · UK

Developed and maintained learning and administration systems covering courses, student records, exams, payments, reporting, authentication, APIs and production support.

2023 — 2024

Mid-Level Developer

Omega BPO Outsourcing · Nepal

Delivered production web and mobile features with React, Next.js, Flutter and React Native; integrated APIs, contributed to technical design and mentored junior developers.

2021 — 2023

Junior Software Developer

Bug Byte Technology · Nepal

Worked across requirements, design, implementation, testing and maintenance, including relational and NoSQL schemas, SQL, stored procedures and application data flows.

2020 — 2021

React Native Developer

Progressive Labs · Nepal

Built cross-platform iOS/Android features, API integrations and Redux-based state flows while contributing to debugging, testing and code-quality practices.

2017 — 2020

Software / React Native Developer

SPG Technologies · New Delhi

Built responsive web and mobile applications and worked across requirements, delivery, QA, code reviews, database discussions, testing, optimisation and maintenance.

MSc Artificial Intelligence · Distinction

Real-time driver behaviour monitoring.

Deep-learning research classifying normal, aggressive, distracted and drowsy driving behaviours from monocular RGB video, with emphasis on temporal modelling, evaluation and efficient real-time inference.

Read the research case study →
01Live RGB video
02Frame sampling & preprocessing
03MobileNetV2 features
04BiLSTM / Transformer / Temporal CNN
05Smoothing & behaviour prediction

AI / Machine Learning

PythonTensorFlow/KerasComputer VisionOpenCVDeep LearningTransfer LearningTemporal ModellingLLM APIsModel EvaluationReal-time Inference

Backend / Data

FastAPISQLAlchemyPydanticAlembicLaravelNode.jsExpress.jsREST APIsJWTPostgreSQLMySQLMongoDB

Frontend / Mobile

ReactNext.jsTypeScriptJavaScriptReact NativeFlutterReduxTailwind CSSHTML5CSS3

Infrastructure / Delivery

DockerGit / GitHubVPSDigitalOceanAzure IoTLiveKit / WebRTCTestingPerformance DebuggingAgile / ScrumJira
2024 — 2025

MSc Artificial Intelligence — Distinction

London Metropolitan University · UK

Dissertation: Deep Learning-Based Driver Monitoring System for Real-Time Detection of Aggressive, Drowsy, Distracted and Normal Driving Behaviours.

Completed 2019

Bachelor's Degree in Computer Engineering

Kantipur Engineering College · Nepal

Engineering foundation spanning programming, computing systems and software development, followed by extensive professional software-engineering experience.

Building something ambitious?

I'm interested in software engineering, AI/ML engineering, applied AI and research-driven product opportunities.