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akash-nathai/readme.md
AKASH Nath — Full Stack Developer & AI Engineer

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🧑‍💻 About Me

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I'm a Full Stack Developer and AI Engineer from India, obsessed with building intelligent systems that go beyond the lab and into the real world. I don't just experiment with AI — I architect it, train it, and deploy it.

My world revolves around:

  • 🤖 Building LLMs & VLMs — from architecture design to fine-tuning with LoRA, QLoRA & PEFT
  • 🧹 AI Training Data Engineering — cleaning, deduplicating, and curating datasets that actually produce good models
  • 🧠 AI Agents — autonomous systems with tool use, memory, planning and multi-agent orchestration
  • 🌐 Real-World AI Deployment — taking models out of notebooks and into production APIs and products
  • 📡 IoT + Edge AI — fusing physical hardware with intelligent inference on the edge

🔭 Currently Building LLM & VLM Fine-Tuning Pipelines
🌱 Deep Diving Into Nature-Inspired Computing · AI Agents · Edge AI
🤝 Looking to Collaborate Open Source AI & Full Stack Projects
⚡ Fun Fact I debug models at midnight and game at 2am — it's a lifestyle
📫 Reach Me pro.codenow@gmail.com


🚀 What I Actually Do

🤖 AI / ML Engineering

  • Fine-tuning LLMs using LoRA, QLoRA, PEFT for domain adaptation

  • Building VLMs for multimodal understanding tasks

  • Designing AI Agents with tool use, memory & planning capabilities

  • Training Data Engineering — dedup, filtering, quality scoring & annotation

  • Building RAG (Retrieval-Augmented Generation) pipelines

  • Exploring Nature-Inspired Algorithms (GA, PSO, ACO)

🌐 Full Stack Development

  • End-to-end web apps with Node.js, PHP & Python backends

  • Responsive UIs with HTML, CSS, JavaScript & Bootstrap

  • REST API design and integration

  • Database management with MySQL & MongoDB

  • Real-time apps using Firebase

  • CI/CD pipelines using Jenkins

📡 IoT & Real-World AI

  • Bridging AI models with physical hardware & sensors

  • Edge AI deployment on resource-constrained devices

  • Sensor data pipelines for real-time AI inference

  • Smart systems that perceive and respond to the physical world

  • MQTT-based IoT data communication

🛠️ Engineering Practices

  • Clean, modular, production-ready code

  • Experiment tracking & model versioning

  • Data pipelines and orchestration

  • Open Source contributor & collaborator

  • Documentation-first development mindset


🛠️ Tech Stack & Tools

🧠 AI · ML · Data Science

  

💻 Languages

🌐 Web · Backend · Frameworks

🗄️ Databases & Cloud

⚙️ DevOps · Tools · Platforms

📡 IoT · Edge · Hardware


🧠 AI Engineering Expertise

Full Stack Development      ████████████████████░   88%
LLM Fine-Tuning (LoRA/PEFT) ████████████████████░   85%
Training Data Engineering   ███████████████████░░   80%
AI Agents & RAG Systems     ████████████████░░░░░   70%
VLM Development             ███████████████░░░░░░   65%
IoT + Edge AI               ██████████████░░░░░░░   60%
Nature-Inspired Computing   ████████████░░░░░░░░░   55%

🔬 Currently Working On

🤖 LLM Fine-Tuning

Fine-tuning large language models on custom domain datasets using PEFT, LoRA & QLoRA for efficient, accessible training.
🧹 Data Cleaning Pipelines

Building robust AI training data pipelines — deduplication, quality scoring, annotation cleanup and bias analysis.
🌐 Real-World AI Deployment

Deploying AI from notebooks into the real world — production APIs, IoT edge devices, and end-user products.

📚 Currently Learning & Exploring

Area Topic Status
🦀 Systems Rust Programming Learning
🐹 Backend Go (Golang) Learning
🤖 AI LLM Fine-Tuning Active
🧬 AI Nature-Inspired Computing Exploring
☁️ DevOps Docker & Containerization Practicing
🔗 Orchestration LangChain · LlamaIndex · CrewAI · AutoGen Active


📊 GitHub Stats

GitHub Streak

AKASH's GitHub Stats   Top Languages

Contribution Graph


🏆 GitHub Trophies

GitHub Trophies


🤝 Let's Connect & Build Together

💬 Got an interesting AI project, open source idea, or just want to talk tech? My inbox is always open!


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