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Achievement: Pull Sharkx3Achievement: Pair Extraordinairex2Achievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pull Sharkx3Achievement: Pair Extraordinairex2Achievement: YOLOAchievement: Quickdraw

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@Varpost

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tejaswirajgit/README.md
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About Me

Hey, I'm Tejaswi. I build AI systems that go from idea to production. I'm currently the AI Engineer at Node2.io, leading the AI side end-to-end, from architecture to deployment.

  • 🏗️ Building an AI-driven management system, currently focused on automation and intelligent support, to plug it into real-world workflows
  • 🔬 Previously ML Research Intern at DRDO (landslide detection with Sentinel-2) and IIT Mandi, with 2 IEEE publications
  • 📖 Learning more about LLM applications, agentic systems, and how to take AI from a notebook to something people actually use
  • 🤝 Open to collaborating on early-stage AI projects, computer vision work, or anything where AI meets a real problem
  • 💡 Ask me about deep learning, building with LLMs, or just figuring things out as you go

Tech Stack

Languages

Python JavaScript Java C++ R

AI / ML

PyTorch TensorFlow Keras scikit-learn OpenCV MLflow

Backend & APIs

FastAPI Node.js

Databases

PostgreSQL MongoDB MySQL Supabase SQLite

Cloud & Deployment

Vercel Render Netlify Heroku

Tools & Design

GitHub Postman Figma Arduino

GitHub Stats

GitHub Streak

"Build systems that think. Ship products that matter."

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  1. Varpost/Scout Varpost/Scout Public

    AI-powered security CLI that replaces a security team for indie developers

    Python

  2. Inbound-Voice-Booking-Agent Inbound-Voice-Booking-Agent Public

    Voice agent for inbound home-service calls: classifies the trade, confirms the address, and returns open 2-hour slots from Google Calendar + Maps. Retell AI + Make.com, 951 pytest cases.

    Python

  3. Landslide-Detection-using-Sentinel-2-Data Landslide-Detection-using-Sentinel-2-Data Public

    This repository provides a deep learning-based pipeline for landslide detection using Sentinel-2 multispectral data. It features models like U-Net, SegNet, and DeepLabV3+, with preprocessing steps …

    Jupyter Notebook 1

  4. Plant-Disease-Detection Plant-Disease-Detection Public

    Plant leaf disease classifier - 38 classes across 14 species, EfficientNetB0 fine-tuned on the New Plant Diseases Dataset. Live demo on Hugging Face Spaces.

    Jupyter Notebook

  5. Coronary-Artery-Disease-Feature-Selection Coronary-Artery-Disease-Feature-Selection Public

    Feature-selection-driven coronary artery disease classifier on the UCI Cleveland dataset. Logistic regression deployed live on Hugging Face Spaces.

    Jupyter Notebook

  6. cardio cardio Public

    Cardiovascular disease risk predictor: Gradient Boosting on 70k patient records (~73% accuracy), deployed as a live Streamlit app.

    Jupyter Notebook