Hello, I'm Aashish Giri

Full Stack Engineer building high-performance platforms.

Full-Stack Engineer with 3+ years of commercial experience building high-performance, data-driven platforms for global users. I specialize in Laravel and React, delivering scalable APIs, secure role-based systems, and performance-optimized applications. I also have hands-on experience in Machine Learning and Data Science, building recommendation systems and AI-powered tools. Currently pursuing an MSc in Computer Science at the University of West London.

View My Work GitHub Profile →

Technical Skills

Laravel (Core Focus)

REST APIs, Authentication & Authorization, Queues & Jobs, Caching (Redis), Eloquent Optimization, PHPUnit Testing

React.js (Core Focus)

Hooks, Component Architecture, State Management (React Query, Redux), Forms & Validation, Performance Optimization

Backend & APIs

PHP, Node.js, RESTful APIs, Role-Based Access Control, Secure Authentication, Microservices

Frontend Engineering

TypeScript, HTML5, CSS3, Responsive Design, Accessibility, Technical SEO, Nuxt.js, Next.js

Databases

PostgreSQL, MySQL, MongoDB, Query Optimization, Indexing, Data Modeling

DevOps & Tooling

Docker, Redis, Supervisor, CI/CD Pipelines, AWS (EC2, S3), Git & GitHub

AI & Data

OpenAI API, Machine Learning Basics, CNNs, Data Analysis (Pandas, NumPy), FastAPI

Testing & Quality

PHPUnit, Jest, Postman, API Testing, Debugging, Code Reviews

Experience

Full Stack Developer
Novuscape Solutions (Remote UK Client)
Apr 2024 - Sept 2025
  • Performance: Reduced heavy-query response time from 480ms to 120ms using Redis caching and SQL indexing.
  • Architecture: Built secure role-based authentication & audit logging, improving platform reliability.
  • Testing: Wrote 50+ PHPUnit tests, achieving 85% test coverage and drastically reducing production bugs.
  • Frontend: Developed 15+ reusable React components, boosting data rendering speed by 20%.
Full Stack Developer
Partner Technology
Nov 2022 - Apr 2024
  • Migration: Led frontend migration to Nuxt.js (SSR), improving SEO rankings and loading speed by 25%.
  • Microservices: Maintained Laravel micro-services handling auth and workflows for thousands of users.
  • State Management: Implemented React Query and Redux for efficient data fetching and predictable UI.

About Me

I am a London-based Full-Stack Engineer with over 3 years of commercial experience building scalable, data-driven platforms for global users. I began delivering production-ready software early in my career, working with real clients and real-world systems from day one.

I have worked remotely with UK companies, building secure dashboards, high-performance APIs, and role-based authentication systems using Laravel and React, supported by modern cloud tooling. Alongside this, I have hands-on experience in Artificial Intelligence and Machine Learning, developing recommendation systems, computer vision models, and AI-powered tools.

My engineering focus is on performance, maintainability, clean architecture, and applying AI-driven solutions where they deliver real business value.

Aashish Giri – Full Stack Engineer

Education

MSc Computer Science
University of West London
Sept 2025 – Sept 2026

Focused on advanced software engineering, AI, data-driven systems, and scalable application design.

BSc Computer Science & IT
Tribhuvan University, Nepal
2019 – 2023

Graduated with 74.07% overall.

Featured Projects

Laravel Docker Starter Kit

Production-ready Laravel starter template with isolated Docker environments, Redis caching, PostgreSQL, and Supervisor-managed background jobs.

Laravel Docker Redis PostgreSQL
View Code →

Mortgage Affordability Calculator

Multi-step financial calculator built with strict schema validation to ensure regulatory compliance and accurate user input handling.

React TypeScript React Hook Form Zod

Generative AI Document Assistant

AI-powered tool allowing users to query CSV datasets using natural language. Includes document conversion services (DOCX ↔ PDF).

OpenAI API React LibreOffice API

Anime Recommendation System

Machine learning–based recommendation system that analyzes user ratings to suggest anime using collaborative filtering techniques.

Python Pandas Scikit-learn Data Analysis
View Code →

Face Age & Gender Prediction

Deep learning project using CNNs to predict age and gender from facial images, served via a FastAPI backend.

Python CNN FastAPI Computer Vision
View Code →

Real-time Chat Application

Full-stack real-time chat application with instant messaging, user authentication, and WebSocket-based communication.

Node.js React Socket.IO MongoDB
View Code →

Ready to Optimize Your Stack?

I’m currently based in West London and open to part-time or contract roles. Let’s build something scalable and impactful.

Get in Touch Download CV