Aditya Dange

WORK HISTORY

EDUCATION

ABOUT ADITYA DANGE

Hello, I\'m Aditya Dange. I am an AI/ML Engineer specializing in LLM-based systems and Causal Modelling. Currently a B.Tech candidate in Electronics & Telecommunication, I bridge the gap between complex IoT sensor networks and advanced decision-making frameworks. My work focuses on machine learning systems at the intersection of NLP, causal inference, and intelligent decision modelling. I am Developing a Causal AI prototype integrating counterfactual inference (DoWhy), reinforcement learning (Q-learning), and LLM-based query interpretation to explore explainable and adaptive decision systems.• Leading the development of a LoRaWAN-based Soil Health Monitoring & Smart Irrigation System, contributing to system architecture, sensor integration, and cloud dashboards, resulting in a Scopus-indexed Springer publication and an Indian patent publication.• Currently working as an AI/ML Intern at Masycoda Solutions, involved in model experimentation, data preprocessing workflows, and applied ML implementation.• Previously worked as an IoT Intern at UniConverge Technologies, building sensor-driven monitoring systems using MQTT and cloud dashboards for real-time automation.• Actively learning and experimenting with end-to-end ML workflows using Microsoft Fabric (Data Science workload).My primary technical interests include:Machine Learning EngineeringNLP & LLM-based SystemsCausal Modelling & Counterfactual InferenceReinforcement Learning & Edge AIReal-time and distributed ML systems.I’m particularly drawn to roles that require both algorithmic depth and the grit of practical system implementation. Whether it’s architecting Edge AI for agriculture or fine-tuning LLMs for decision support, I thrive on the challenge of building real-time, distributed systems.GitHub: https://github.com/adityadange16Portfolio: https://adityadange16.github.io/