Professional Overview
I am Ayush Rahangdale, an AI Research Scientist who blends deep learning research with ML pipelines to solve real-world problems. I’ve built RAG-based literature-review tools and databases, slashing manual effort by 99%, and fine-tuned different models including BERT and transformer models for high-precision entity extraction. My approach is to turn complex algorithms into intuitive applications that deliver measurable impact, guided by best practices in concise, engaging professional bios.I excel in Python, TensorFlow, PyTorch, LangChain, HuggingFace, and cloud-native MLOps (AWS, Azure, Kubeflow) to build scalable AI systems. My strong mathematical background—Bayesian estimation, Monte Carlo methods, differential equations—supports creative problem-solving and robust model optimization.I’ve led cross-disciplinary teams, mentored junior engineers, and made critical architectural decisions to accelerate AI from prototype to production. Continuously exploring advances in NLP, computer vision, and big-data frameworks ensures I stay at the forefront of AI, delivering solutions that drive business value and innovation.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
MLOps & AI Infrastructure
Architect scalable ML infrastructure — CI/CD for ML, model versioning, experiment tracking, monitoring, and cloud deployment on AWS, GCP, or Azure.
