🎓 M.Tech | NIT Rourkela
🤖 AI/ML Engineer | MLOps | Data Science | Generative AI
💡 Passionate about building AI-powered products, intelligent systems, and production-ready machine learning solutions
🧠 Working with Machine Learning, Deep Learning, Neural Networks, Generative AI, LLMs, and AI Engineering
⚙️ Interested in MLOps, Model Deployment, ML Lifecycle Management, RAG, LLM Applications, Edge AI, and scalable AI systems
🔬 Research interests include Kolmogorov–Arnold Networks (KANs), Physics-Informed ML, Edge AI, and AI for Engineering
💻 Strong software engineering background with experience in Python, Java, JavaScript, Angular, Spring Boot, APIs, and databases
🤝 Open to collaborating on AI/ML Research, MLOps, Generative AI, Product Development, and Software Engineering projects
- 🤖 Building AI/ML models for real-world prediction, automation, and intelligent decision-making
- 🧠 Working with Machine Learning, Deep Learning, Neural Networks, MLPs, CNNs, KANs, and Physics-Informed ML
- ⚙️ Exploring MLOps workflows including model training, experiment tracking, versioning, deployment, monitoring, and ML lifecycle management
- 🧬 Exploring Generative AI, Large Language Models (LLMs), RAG, embeddings, and AI-powered applications
- 🦙 Working with Ollama and local LLM deployment for efficient and privacy-focused GenAI applications
- 🤗 Exploring the Hugging Face ecosystem, including Transformers, pretrained models, datasets, and model fine-tuning
- 🔎 Building and exploring RAG-based applications and LLM-powered systems
- ☁️ Exploring cloud, containerized, and edge AI deployment
- 🚀 Combining AI/ML + MLOps + Software Engineering to build production-ready intelligent applications
- 📄 Published Journal Researcher – AEU - International Journal of Electronics and Communications, Elsevier
- 📄 IEEE / Conference Publication – Machine Learning Inspired Impedance Matching Prediction of Fractal Gasket Antenna
- 🧠 Research experience in Kolmogorov–Arnold Networks (KAN), MLP, CNN, Deep Learning, and Edge AI
- ⚙️ Hands-on experience in ML model development, training, evaluation, optimization, and deployment
- 🤖 Exploring Generative AI, LLMs, RAG, Ollama, and Hugging Face
- ⚙️ Experience with MLOps concepts, Docker, MLflow, APIs, and model deployment workflows
- 💻 Strong background in software development and full-stack engineering
- 🔬 Interested in applying AI/ML to scientific computing, engineering, and real-world problems
Kolmogorov–Arnold networks for antenna analysis: A comparative and edge-ready framework
Authors: Avula Uttej Kumar, Sandip Ghosal
Journal: AEU - International Journal of Electronics and Communications
Volume: 216
Article: 156470
Year: 2026
DOI: 10.1016/j.aeue.2026.156470
🔬 This research investigates Kolmogorov–Arnold Networks (KANs) for antenna analysis and compares different neural-network approaches for electromagnetic performance prediction, with a focus on lightweight and edge-ready AI deployment.
Machine Learning Inspired Impedance Matching Prediction of Fractal Gasket Antenna
Year: 2025
Authors/Contributors: Chamundeswari K, Avula Uttej Kumar, Sandip Ghosal.
- 🤖 Artificial Intelligence & Machine Learning
- 🧠 Deep Learning & Neural Networks
- 🔗 Kolmogorov–Arnold Networks (KAN)
- 🧩 Physics-Informed Machine Learning
- 📈 Neural Network Optimization
- 🧬 Generative AI
- 🤖 Large Language Models (LLMs)
- 🔎 Retrieval-Augmented Generation (RAG)
- 🦙 Local LLMs & Ollama
- 🤗 Hugging Face & Transformers
- ⚙️ MLOps & ML Lifecycle Management
- ☁️ Cloud & Edge AI
- 📡 AI for Electromagnetics & Antenna Design
- 🧪 AI for Scientific Computing
- 🚀 AI-powered Product Development
- 🥇 International Gold Medalist – South Asian Judo Championship (2019)
- 🥇 National Gold Medalist – TAFTYGAS Judo (2019)
- 🏆 Participated in All India Inter-University Judo Championship Nationals
- G.N.D.U, Amritsar (2018–19)
- C.S.J.M.U, Kanpur (2019–20)
- 🤾 Participated in All India Inter-NIT Handball Tournament – VNIT Nagpur (Nov 2025)
- 🥋 Participated in Telangana Senior Inter District / Mixed Judo Championship (2020–21)
- 🧾 Reviewer – IEEE 4th International Conference on Computer Vision and Machine Intelligence (CVMI 2025)
- 🤝 Volunteer – 6th IEEE India Council International Subsections Conference (INDISCON 2025), NIT Rourkela
- 🎯 Led Foundation Day celebrations at UST Global and sports events at CMRIT, recognized for strong coordination and event management
- 🥇 1st Place – One Act Play (TSREIS-HYD, 2015–2016)
- 🥉 3rd Place – State Level Science Fair (TSRS, 2015) – Gurukul Vita
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