I am an AI/ML practitioner with experience in ML pipelines, cloud-ready systems, and data-driven solutions. I completed my Master of Artificial Intelligence & Machine Learning at the University of Adelaide. I have a solid understanding of MLOps, GenAI and machine learning techniques like Vision Transformers, RAG pipelines, NLP, CNNs, LSTM, RNN, and predictive analytics. I work with Python, TensorFlow, PyTorch, and modern tools across AWS, Azure, and containerised environments. I am passionate about modern engineering and AI tech like Kubernetes, Kafka, distributed systems, DevOps, LLMs, vector databases, retrieval systems, multimodal models, and scalable ML systems. My work includes research projects, cloud deployments, AI-driven healthcare workflows, and end-to-end ML pipelines. I enjoy translating complex outputs into practical healthcare solutions and collaborating with multidisciplinary teams.

Harsh Sanjay Rathi

I am an AI/ML practitioner with experience in ML pipelines, cloud-ready systems, and data-driven solutions. I completed my Master of Artificial Intelligence & Machine Learning at the University of Adelaide. I have a solid understanding of MLOps, GenAI and machine learning techniques like Vision Transformers, RAG pipelines, NLP, CNNs, LSTM, RNN, and predictive analytics. I work with Python, TensorFlow, PyTorch, and modern tools across AWS, Azure, and containerised environments. I am passionate about modern engineering and AI tech like Kubernetes, Kafka, distributed systems, DevOps, LLMs, vector databases, retrieval systems, multimodal models, and scalable ML systems. My work includes research projects, cloud deployments, AI-driven healthcare workflows, and end-to-end ML pipelines. I enjoy translating complex outputs into practical healthcare solutions and collaborating with multidisciplinary teams.

Available to hire

I am an AI/ML practitioner with experience in ML pipelines, cloud-ready systems, and data-driven solutions. I completed my Master of Artificial Intelligence & Machine Learning at the University of Adelaide. I have a solid understanding of MLOps, GenAI and machine learning techniques like Vision Transformers, RAG pipelines, NLP, CNNs, LSTM, RNN, and predictive analytics. I work with Python, TensorFlow, PyTorch, and modern tools across AWS, Azure, and containerised environments.

I am passionate about modern engineering and AI tech like Kubernetes, Kafka, distributed systems, DevOps, LLMs, vector databases, retrieval systems, multimodal models, and scalable ML systems. My work includes research projects, cloud deployments, AI-driven healthcare workflows, and end-to-end ML pipelines. I enjoy translating complex outputs into practical healthcare solutions and collaborating with multidisciplinary teams.

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Language

English
Fluent

Work Experience

LLM Integration Engineer / Project Lead at AWS Bedrock
October 1, 2025 - November 1, 2025
Designed and deployed LLM workflows using AWS Bedrock (Claude) for text generation, summarization, and classification tasks; integrated Bedrock APIs with Python-based backend services; reduced manual processing time by over 40% in sample workflows. Optimised prompt engineering and model configuration to achieve high-accuracy outputs (up to 92% in classification tasks).
AI Solutions Engineer at Azure AI, Agentic
September 1, 2025 - October 1, 2025
Designed an Agentic Retrieval-Augmented Generation system using Azure OpenAI and Azure Cognitive Search; implemented multi-step reasoning with contextual retrieval and adaptive prompt routing; deployed via Azure App Service with voice synthesis using Azure Speech API; improved accuracy and latency for unstructured data Q&A workflows.
Freelance AI Engineer at Freelance/Academic
July 1, 2025 - August 1, 2025
Developed an agentic Retrieval-Augmented Generation (RAG) pipeline using LangChain for orchestration and Pinecone as the scalable cloud vector database. Built backend with Streamlit, optimized semantic search pipelines, and prepared the system for cloud deployment (AWS/Azure/Streamlit).
AI Research Contributor at The University of Adelaide
September 1, 2024 - May 1, 2025
Built deep learning pipelines with CNNs and Vision Transformers for MRI image classification; improved accuracy by 16% over baseline; contributed to a research collaboration, documenting results and presenting insights.
Data Science Project Lead at Customer Churn Prediction Project
December 1, 2024 - February 1, 2025
Built a predictive churn model using TensorFlow and scikit-learn; implemented data preprocessing, feature engineering, and trained multiple classifiers; deployed models and delivered actionable insights to reduce churn.
Individual Project Lead at Bird Species Classifier
February 1, 2024 - February 1, 2024
Developed a TensorFlow classifier comparing VGG16 vs ResNet-152; achieved 96% accuracy with GPU acceleration and data augmentation.
Industrial Training at Apex Innovations Pvt. Ltd.
October 1, 2020 - November 1, 2020
Completed 28 days of training in Instrumentation, PLC/SCADA, and Process Control; hands-on experience with PID controllers, control valves, VFD drives, Honeywell HC900, and Allen Bradley PLC programming.

Education

Master of Artificial Intelligence & Machine Learning at The University of Adelaide
May 1, 2023 - June 1, 2025
Bachelor of Engineering (Instrumentation) at PVPIT College of Engineering
August 1, 2019 - June 1, 2022
Diploma in Mechanical Engineering at Sanjay Ghodawat Polytechnic
June 1, 2016 - June 1, 2019

Qualifications

Gen AI with LangChain and Hugging Face
September 1, 2025 - November 1, 2025
AWS Cloud Practitioner
January 11, 2030 - March 6, 2026
Microsoft Azure Fundamentals
January 11, 2030 - March 6, 2026
Industrial Training at Apex Innovations
October 1, 2020 - November 1, 2020

Industry Experience

Healthcare, Software & Internet, Life Sciences, Education, Professional Services