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@DataRohit
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💭
Learning

Rohit Vilas Ingole DataRohit

💭
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🌟 Data Dreamer | Code Explorer | Full Stack Adventurer | Turning coffee into code and ideas into reality!
102 followers · 98 following
  • Nagpur
  • 22:43 (UTC +05:30)
  • https://www.kaggle.com/datarohitingole
  • in/rohit-vilas-ingole
  • https://scholar.google.com/citations?user=6cUv5BwAAAAJ&hl

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DataRohit/readme.md
Rohit Vilas Ingole

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LinkedIn Kaggle Google Scholar Gmail Resume


🧑‍💻 About Me

name          : Rohit Vilas Ingole
role          : Specialist Programmer @ Infosys
location      : Hyderabad, Telangana, India
education     : B.Tech in Data Science | CGPA 9.34 | GHRCE Nagpur
publications  : 5 Research Papers (2 Q-ranked Journals + 3 IEEE Conferences)
project       : Microsoft — Agentic AI for Data Pipelines, Data Mastering & Automation
focus         : AI Agents · MCP · A2A Protocol · Backend Systems · Data Engineering
learning      : JavaScript · TypeScript · React · Electron · Microsoft Agent Frameworks
contact       : [email protected]

🚀 What I'm Building

  • 🤖 @ Infosys (Microsoft Project) — Designing agentic AI solutions that automate data pipelines, data mastering workflows, and data management processes that previously required manual intervention
  • 🖥️ Learning — JS / TS / React / Electron for cross-platform desktop application development
  • 🧠 Exploring — Microsoft Agent Frameworks & DevUI-based agentic AI for intelligent workflow automation

🛠️ Tech Stack

Languages

Python Go JavaScript TypeScript

Frontend & Desktop

React Electron TailwindCSS Bootstrap HTML5 CSS3

Backend

Django FastAPI Flask Nginx Celery

AI · Agents · LLMs

LangChain LangGraph LangSmith AutoGen MCP A2A TensorFlow PyTorch scikit-learn OpenCV

Databases

PostgreSQL MongoDB Redis MySQL Cassandra Elasticsearch SQLite

DevOps · Infra · Monitoring

Docker Grafana Prometheus OpenTelemetry Kibana Jaeger RabbitMQ Kafka MinIO SonarQube Postman LiveKit


📚 Research Publications

🏆 International Journals

Rank Title
Q2 TranSegNet: A Hybrid Transformer Model for Satellite Imagery Segmentation with Performance Benchmark Against U-Net Variants
Q3 Satellite Image Segmentation of Forest Fire Risk Detection using Gaussian Mixture Models

🎤 IEEE Conference Papers

# Title
1 A Content-Based Study and Tweet Analysis of the Russia-Ukraine Conflict
2 Enhancing Plant Health through Deep Learning Neural Network based Leaf Disease Detection
3 Refining Cyclonic Cloud Analysis via INSAT-3D Satellite Imagery and Advanced Image Processing Techniques

📊 GitHub Stats



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Profile Views


📍 Location

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