Deepak Bhattarai

London, UK

Open to Software Engineering & Applied AI

9+ years across web, mobile and backend engineering · MSc Artificial Intelligence with Distinction

Python
TypeScript
React
Next.js
FastAPI
PostgreSQL
Docker
TensorFlow
OpenCV
Laravel
Node.js
Flutter
GitHub
DigitalOcean

9+ years building production software. Now applying that engineering depth to intelligent systems.

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

Engineering first. AI where it adds real value.

My strongest working stack is Python/TypeScript, modern web and API engineering, PostgreSQL and applied AI/ML. Mobile and additional technologies extend that core.

Core Engineering

Primary
PythonTypeScriptNext.jsReactFastAPIPostgreSQLREST APIsSQLAlchemyNode.jsLaravel

Applied AI / ML

Primary
TensorFlow/KerasComputer VisionOpenCVDeep LearningMobileNetV2BiLSTMTransformersLLM APIsModel EvaluationReal-time Inference

Platforms & Delivery

DockerGit / GitHubVPSDigitalOceanLiveKit / WebRTCAzure IoTObject StorageTestingPerformance DebuggingCI/CD

Additional Technologies

PHPReact NativeFlutterJavaScriptExpress.jsMySQLMongoDBReduxTailwind CSSHTML / CSS
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.

Need a software engineer who can build AI into real products?

Open to Software Engineering, Applied AI/ML and research-driven product opportunities where strong engineering and intelligent systems meet.