MSc Artificial Intelligence (University of Bath) · Software Architect · Full-Stack & Mobile Engineer
Bath, United Kingdom
📧 sth.shilu@gmail.com
🔗 Blog: https://shilu-stha.github.io/portfolio/blog/
🔗 LinkedIn: https://linkedin.com/in/shilushrestha
🔗 GitHub: https://github.com/shilu-stha
I’m a Software Architect and Engineer with 12+ years of hands-on development experience, currently pursuing my MSc in Artificial Intelligence at the University of Bath.
I bring extensive experience across mobile apps, web platforms, backend engineering, cloud services, AI-integrated systems, and large production applications. After years of leading projects end-to-end, I am now expanding into advanced ML and AI during my master’s studies — combining my engineering depth with new emerging skills.
I am highly adaptable, fast-learning, efficient, and comfortable switching between roles such as developer, architect, team lead, problem-solver, or freelancer. I thrive in environments where quick thinking, clear structure, and practical delivery are valued.
I’m currently using my GitHub to document my learning, personal projects, and upcoming AI coursework — starting with a structured ML blog series.
MSc in Artificial Intelligence (University of Bath)
Modules include: Machine Learning, Applied AI, Deep Learning, Probability & Statistics, Reinforcement Learning, Data Analysis.
My MSc is helping me strengthen fundamentals such as:
- Optimisation
- Classical ML (regression, Bayesian methods)
- Deep learning (CNNs, representation learning)
- Reinforcement learning (multi-agent basics)
- Statistical reasoning
I’m in a transition phase where I am exploring how to combine my strong engineering background with AI skills to prepare for future roles in intelligent systems, ML-enabled products, automation, and scalable software.
- Built and improved large platform architectures, reducing processing time by 20%.
- Developed multi-language support for global CRM expansion.
- Provided technical leadership and conducted systematic code reviews.
- Supported integration of GPT-4o and embeddings by updating prompts, validating outputs, and coordinating UI adjustments.
- Assisted in improving RAG-based search by refining prompt templates and performing quality checks.
- Designed offline-first architectures for real-time operational systems.
- Engineered communication with IoT liquid control devices (BLE, websocket).
- Led a large cross-functional engineering team (18+ engineers).
- Automated CI/CD pipelines and improved release quality.
- Defined long-term technical vision across multiple companies.
- Built end-to-end mobile and web applications using best practices (SOLID, DRY, KISS).
- Oversaw architecture design, code quality, and team mentoring.
- Python, JavaScript, TypeScript, SQL, NoSQL
- React, React Native, Node.js
- REST APIs, GraphQL, CI/CD pipelines
- Firebase, Supabase, AWS/GCP basics
- Scikit-learn, NumPy, Pandas
- TensorFlow, PyTorch
- Classical ML (regression, clustering, feature engineering)
- Deep learning fundamentals (CNNs)
- Reinforcement learning basics
- Generative AI integrations (OpenAI APIs, Langchain)
- Distributed systems
- Offline-first architecture
- Real-time data streams
- Cloud Functions, automation, deployment
- Fast learner — able to adapt quickly to new tools, environments, and responsibilities
- Strong analytical thinker — experienced in debugging, architectural decisions, and problem isolation
- Leadership & mentoring — led teams up to 18 engineers, established coding standards, improved engineering culture
- Clear communicator — strong written & verbal communication from years of cross-team collaboration
- Structured & organised — disciplined with documentation, planning, and delivery
- Freelancer mindset — independent, resourceful, and capable of managing full project lifecycles
- High ownership — naturally takes responsibility from design to deployment
I write about my learning journey, fundamentals, and applied ML topics:
🔗 https://shilu-stha.github.io/portfolio/blog/
Latest posts include:
- Gradient Descent Intuition
- Bayesian Regression
- CNNs From Scratch
- Reinforcement Learning Basics
- Thinking Like a System Architect in ML
More coming soon.
- Building structured GitHub repositories for my MSc coursework
- Writing deeper ML and AI articles
- Creating small open-source projects
- Strengthening theoretical and applied ML knowledge
- Preparing for placements & research pathways
- Improving portfolio with real projects
If you’d like to collaborate, hire, or discuss ideas, feel free to reach out:
📧 sth.shilu@gmail.com
🌍 Bath, United Kingdom
Thank you for visiting my profile! This page will continue to evolve throughout my MSc and upcoming projects.