Hi, I'm Aditya Raj Tiwari 👋

Reach me at : https://www.adityatiwari.dev/ Computer Science student at Technical University of Munich with 5 years of software development experience — now focused on AI research, deep learning, RAG, and agentic systems, with a background in AI automation and frontend web development.

"Programming is a magical tool to solve the most complex problems. I break them down and solve each one with elegant code."

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🧬 My Journey as Commits

gitGraph
   commit id: "hello-world (2020)"
   branch frontend
   checkout frontend
   commit id: "Morgenland Teppich"
   commit id: "Vue + Scrum"
   commit id: "WebImpact GmbH"
   checkout main
   merge frontend tag: "5yrs shipping UI"
   branch ai
   checkout ai
   commit id: "Evolvet (2024)"
   commit id: "LoRA + n8n"
   commit id: "RAG pipelines"
   commit id: "Agentic systems"
   commit id: "Deep learning research"
   checkout main
   merge ai tag: "AI Engineer"

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🚀 Current Work

AI Automation & Research Engineer @ Evolvet (Feb 2024 – Present · ~1 year in AI)

• 🧠 AI research & deep learning — exploring model behavior, training, and applied DL
• 🔎 RAG systems — retrieval-augmented generation for grounded, context-aware LLM apps
• 🤖 Agentic AI & agentic systems — designing autonomous, tool-using multi-step agents
• 🎯 LoRA fine-tuning for specialized LLM applications
• ⚙️ Workflow automation with n8n
• 🔗 LLM training, integration, and AI-powered business process automation

How I think about Agentic + RAG systems

flowchart LR
    U([User Intent]) --> AG{Agent Planner}
    AG -->|needs knowledge| R[Retriever]
    R --> VDB[(Vector DB)]
    VDB --> CTX[Grounded Context]
    CTX --> AG
    AG -->|needs action| T[Tool / API Calls]
    T --> AG
    AG --> LLM[LLM Reasoning]
    LLM --> AG
    AG --> OUT([Verified Output])

    classDef core fill:#6d28d9,stroke:#4c1d95,color:#fff;
    classDef data fill:#0ea5e9,stroke:#075985,color:#fff;
    class AG,LLM core;
    class R,VDB,CTX,T data;

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🗺️ Career & Education Timeline

timeline
    title The Road to AI Engineering
    2020 : Studienkolleg @ Uni Hamburg
         : Frontend Dev @ Morgenland Teppich
    2021 : B.Sc. Computer Science @ TUM
    2023 : Frontend Dev @ WebImpact GmbH
         : Parloa Admin App — led team of 20
    2024 : AI Automation & Research @ Evolvet
         : Optiver HFT Hackathon
    2025 : Deep Learning · RAG · Agentic Systems

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💼 Experience

Frontend Web Developer @ WebImpact GmbH (Jan 2023 – Feb 2024)

• Developed with Nuxt, Pinia, Vue.js, Next.js, Redux, React
• Shop system development with Plenty Markets & Shopware
• Headless CMS development with Strapi

Frontend Web Developer @ Morgenland Teppich (Sep 2020 – Feb 2023)

• Led frontend team for project development
• Vue.js, Bootstrap, CSS/SCSS, TWIG
• Scrum Manager

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🎓 Education

B.Sc. Computer Science — Technical University of Munich (2021 – Present) Studienkolleg — University of Hamburg (2020 – 2021)

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🧠 Tech Stack — Mindmap

mindmap
  root((Aditya's<br/>Skills))
    AI / ML and Research
      Deep Learning
      RAG
      Agentic AI
      Agentic Systems
      LLM Training
      LoRA Fine-tuning
      GPT-4
      LangChain
    Automation
      n8n
      Workflow Automation
    Languages
      Python
      TypeScript
      JavaScript
      Java
      OCaml
    Frontend
      React
      Next.js
      Vue
      Nuxt
      Redux
      Pinia
    Styling
      Tailwind
      SASS
      Bootstrap
      CSS
    Backend and Data
      Node.js
      Strapi
      Vector DBs
    E-Commerce
      Shopware
      Plenty Markets

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🏆 Featured Projects & Ecosystem

flowchart TD
    DEV([Aditya Raj Tiwari])

    DEV --> AI[AI and Automation]
    DEV --> FE[Frontend]
    DEV --> EC[E-Commerce]

    AI --> P1[Parloa Admin App<br/>GPT-4 + LangChain]
    AI --> P2[Evolvet Systems<br/>RAG + Agents + LoRA + n8n]
    AI --> P3[Optiver HFT<br/>Python Algo Trading]

    FE --> P4[Strapi Website<br/>Nuxt + Vue + Nuxt UI]
    FE --> P5[Portfolio<br/>adityatiwari.dev]
    FE --> P6[Restaurant App<br/>University Project]

    EC --> P7[Morgenland Teppiche]
    EC --> P8[MA Versand]

    classDef root fill:#111827,stroke:#000,color:#fff;
    classDef ai fill:#6d28d9,stroke:#4c1d95,color:#fff;
    classDef fe fill:#0ea5e9,stroke:#075985,color:#fff;
    classDef ec fill:#059669,stroke:#065f46,color:#fff;
    class DEV root;
    class AI,P1,P2,P3 ai;
    class FE,P4,P5,P6 fe;
    class EC,P7,P8 ec;

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Strapi Integrated Website (Oct 2024)

Headless CMS website built with Strapi, Nuxt.js, Vue.js, and Nuxt UI. Leveraged generative AI to expedite development.

Parloa Frontend Admin App (Feb – Jun 2023)

Technical University of Munich Project — Led a team of 20 to develop an AI-powered application integrating GPT-4 and LangChain to analyze chat conversation tone, sentiment, and context.

Optiver High-Frequency Trading (Nov 2024)

Developed algorithmic trading strategies in Python during Optiver hackathon. Completed Optiver's "Trading" certification courses.

Other Projects

• Morgenland Teppiche — E-commerce platform for oriental carpets
• MA Versand — Online store for garden equipment spare parts
• Restaurant App — University project for restaurant management
• Portfolio Website — Personal portfolio showcasing work and skills

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💻 Tech Stack

Languages: JavaScript, TypeScript, Python, Java, OCaml AI / ML & Research: Deep Learning, RAG, Agentic AI, Agentic Systems, LLM Training, LoRA Fine-tuning, GPT-4, LangChain Automation: n8n, Workflow Automation Frontend: React, Next.js, Vue, Nuxt, Redux, Pinia Styling: Tailwind, SASS, Bootstrap, CSS Backend: Strapi, Node.js E-commerce: Shopware, Plenty Markets Tools: Git, Webpack, Figma, TWIG

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🌍 Languages

🇳🇵 Nepali (Native) | 🇬🇧 English (C2) | 🇩🇪 German (C1)

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📫 Connect With Me

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💡 Open to opportunities in AI research, deep learning, agentic AI, RAG, automation, and full-stack development