Experienced Full Stack Developer with 1+ years of professional experience, building robust and intuitive applications. Currently expanding into AI engineering — learning ML & deep learning fundamentals, LLM internals, and end-to-end AI product workflows.

I build dependable, user-first web applications and deliver end-to-end features that improve product stability and developer experience.

At BunnyDesk I contributed to core product workflows by building and stabilizing high-impact documentation features end-to-end:

• Implemented rich editor capabilities (cards, columns, accordions, callouts).
• Delivered a complete feedback collection system (backend models, APIs, admin, and frontend UX).
• Improved article navigation and loading behavior for better user experience.
• Strengthened the draft review engine with a robust diff workflow (Reject All, text normalization, reliable Approve/Publish, auto-next-page flow).
• Fixed critical live UI issues to improve stability, editing speed, and overall user trust.

I’m currently upskilling as an AI Engineer — focusing on ML/DL fundamentals, transformer internals, and integrating LLMs into full-stack applications.

• BunnyDesk — Core product contributions: rich editor features, feedback collection system, draft review workflow, & stability fixes. (https://app.bunnydesk.ai/)
• Travel Log — Personal app for tracking trips, journals, and trip analytics. (https://github.com/AngelMarudhu/personal-travel-log)
• Focuzed — Productivity / focus-oriented app.

I’m on a path to become an AI Engineer. Current focus areas and roadmap:

1. Foundations

   • Linear algebra, probability, statistics
   • Python for data science (numpy, pandas, matplotlib)

2. Machine Learning

   • Supervised/unsupervised learning fundamentals
   • Model evaluation, cross-validation, feature engineering
   • scikit-learn workflows

3. Deep Learning

   • Neural networks fundamentals, backpropagation
   • Frameworks: PyTorch (preferred) and TensorFlow basics
   • CNNs, RNNs/Transformers, attention mechanisms

4. Large Language Models (LLMs)

   • Transformer architecture internals
   • Tokenization, positional encodings, attention heads/blocks
   • Fine-tuning, instruction tuning, parameter-efficient tuning (LoRA, adapters)

5. Prompting & Retrieval

   • Prompt engineering patterns and safety
   • Retrieval-augmented generation (RAG) and vector stores
   • LangChain and orchestration libraries

6. Hands-on Projects

   • Build end-to-end apps combining backend, frontend, and LLMs
   • Create datasets, train small models, and deploy inference services

If you want, I can expand any roadmap item with learning resources, project ideas, or a week-by-week study plan.

I actively contribute to projects and submit PRs. I can add a summary section (top repos, merged PRs, recent commits) pulled from my GitHub profile — tell me if you want that included.

• Portfolio: https://marudhuportfolio.netlify.app/
• LinkedIn: https://www.linkedin.com/in/marudhupandiyanshanmugavel/
• LeetCode: https://leetcode.com/u/Marudhupandiyan09/
• Take U Forward: https://takeuforward.org/profile/Marudhu

• Email: marudhupandiyanshanmugavel@gmail.com
• Location: Coimbatore • Pronouns: He/Him
• Open to hire: Yes — actively looking for Full Stack / AI Engineer roles

• Competitive programming: solving LeetCode problems
• Exploring LLM tooling, LangChain integrations, and practical AI applications
• Cycling — 5000+ km travelled so far
• Playing carrom