Available to hire
I am Diya Patel, an AI/ML engineer specializing in LLM integration, RAG architectures, and MLOps pipelines. I’ve built scalable systems serving millions of queries with high reliability, leveraging Docker, Kubernetes, TorchServe, and AWS SageMaker. My experience spans enterprise-grade AI solutions, customer collaboration, and production deployment, making me adept at bridging technical innovation with real-world impact.
Work Experience
AI/ML Engineer at Cigniti Technologies
January 1, 2022 - July 1, 2024Developed machine learning solutions using Scikit-learn, XGBoost, Python, and SQL to support classification, regression, and forecasting use cases, improving prediction performance by 24% across multiple business domains. Designed and deployed NLP applications utilizing BERT, GPT-based models, spaCy, NLTK, and LlamaIndex, increasing text processing efficiency by 35% and enhancing information extraction capabilities. Built end-to-end ETL pipelines integrating PostgreSQL, MongoDB, Snowflake, and Parquet datasets, improving data quality and reducing data preparation efforts by 40% for analytics teams. Implemented computer vision models using OpenCV, YOLO, transfer learning, and CNN architectures, achieving 92% object detection accuracy while reducing manual inspection workloads significantly. Optimized deep learning architectures with TensorFlow, Keras, PyTorch, and hyperparameter tuning frameworks, improving model accuracy by 21% and reducing training costs through efficient experimentat
AI/ML Engineer at Accenture
November 1, 2015 - PresentArchitected enterprise-grade RAG platforms leveraging LangChain, Pinecone, OpenAI-compatible LLMs, and embedding models, improving knowledge retrieval accuracy by 42% while reducing response latency across business-critical AI applications. Led development of Agentic AI solutions using Python, FastAPI, vector databases, and advanced prompt engineering techniques, automating complex workflows and increasing operational productivity by 38%. Designed scalable LLM inference and model serving frameworks using Docker, Kubernetes, TorchServe, and AWS SageMaker, supporting over 1 million monthly AI interactions with 99.9% service availability. Spearheaded multimodal AI initiatives integrating Transformers, OCR, computer vision models, and text processing pipelines, reducing document processing effort by 55% and improving extraction accuracy. Implemented MLOps pipelines utilizing MLflow, Kubeflow, DVC, GitHub Actions, and automated model monitoring, reducing deployment cycles by 60% while stren
Education
Master of Science in Computer Science at University of Bridgeport
January 11, 2030 - April 1, 2016Bachelor of Engineering in Computer Science and Engineering at Nirma University
May 1, 2020 - May 1, 2024Qualifications
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