I am a passionate AI & Machine Learning Engineer specializing in deep learning, medical imaging, NLP, automation, and data engineering pipelines.
I love building intelligent systems that solve real-world problems, especially in healthcare AI.
- π Currently working as Machine Learning Engineer at Arinova Studio
- π§ Learning & improving in DSA, Applied ML, Large-scale Data Engineering
- π± Researching in Medical Imaging, NLP-driven Assistants & AI Automation
- π¨βπ» Portfolio: https://portfolio-dogga-pavan-sekhar.vercel.app
- π« Reach me at doggapavansekhar@gmail.com
- π My Resume: https://drive.google.com/file/d/10VfZ2_Iik-2IOXcbE8sv1Kq2pUoj836p/view?usp=sharing
Nov 2025 β Present
- Building intelligent chatbots with advanced NLP.
- Developing web-scraping pipelines integrated with neural networks for automation.
Sept 2025 β Present
- Designed optimized respiratory image analysis pipelines.
- Large-scale preprocessing, model training & PostgreSQL structured data storage.
May 2025 β July 2025
- Focused on AI-driven medical imaging.
- Built dataset integration & performance evaluation workflows.
Feb 2025 β Apr 2025
- ML pipelines for sepsis & osteoporosis prediction.
- Implemented data transformations for model training/validation.
June 2024 β July 2024
- Developed a cough sound classification pipeline using MFCCs.
- Integrated real-time inference with Django.
CNN-based system with AlexNet, VGG16, ResNet50
β Achieved 84% accuracy
Custom CNN + Ensemble models
β Achieved 89% accuracy
Built a semantic FAQ voice assistant using Word2Vec/GloVe.
An AI chatbot extension for managing coding queries, snippet storage & search.
- Certificate of Appreciation β 120 Days of Coding, Manav Rachna University
- 1st Prize β Final Presentations, GUNI SSRP
- Newsletter Editor β Designed 10+ newsletters & magazines
- IBM β Data Analysis with Python
- Infosys β Python Fundamentals
- IBM β Neural Networks & Deep Learning

