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I am a Machine Learning Engineer with 3+ years of experience building end-to-end AI systems and delivering production-grade solutions. I bridge cutting-edge research and real-world product impact, specializing in Natural Language Processing (NLP), Computer Vision, and Large Language Models (LLMs). I am proficient in Python, TensorFlow, and PyTorch, with hands-on experience in data engineering, MLOps, and model evaluation. I leverage cloud platforms (AWS, Azure, GCP) to deploy high-performance models and create innovative AI products in fast-paced environments.…I am a Machine Learning Engineer with 3+ years of experience building end-to-end AI systems and delivering production-grade solutions. I bridge cutting-edge research and real-world product impact, specializing in Natural Language Processing (NLP), Computer Vision, and Large Language Models (LLMs). I am proficient in Python, TensorFlow, and PyTorch, with hands-on experience in data engineering, MLOps, and model evaluation. I leverage cloud platforms (AWS, Azure, GCP) to deploy high-performance models and create innovative AI products in fast-paced environments.

Rushabh Thakkar

Data Scientist, AI Engineer, AI Developer, +2

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I am a Machine Learning Engineer with 3+ years of experience building end-to-end AI systems and delivering production-grade solutions. I bridge cutting-edge research and real-world product impact, specializing in Natural Language Processing (NLP), Computer Vision, and Large Language Models (LLMs). I am proficient in Python, TensorFlow, and PyTorch, with hands-on experience in data engineering, MLOps, and model evaluation. I leverage cloud platforms (AWS, Azure, GCP) to deploy high-performance models and create innovative AI products in fast-paced environments.…I am a Machine Learning Engineer with 3+ years of experience building end-to-end AI systems and delivering production-grade solutions. I bridge cutting-edge research and real-world product impact, specializing in Natural Language Processing (NLP), Computer Vision, and Large Language Models (LLMs). I am proficient in Python, TensorFlow, and PyTorch, with hands-on experience in data engineering, MLOps, and model evaluation. I leverage cloud platforms (AWS, Azure, GCP) to deploy high-performance models and create innovative AI products in fast-paced environments.

Available to hire

I am a Machine Learning Engineer with 3+ years of experience building end-to-end AI systems and delivering production-grade solutions. I bridge cutting-edge research and real-world product impact, specializing in Natural Language Processing (NLP), Computer Vision, and Large Language Models (LLMs).

I am proficient in Python, TensorFlow, and PyTorch, with hands-on experience in data engineering, MLOps, and model evaluation. I leverage cloud platforms (AWS, Azure, GCP) to deploy high-performance models and create innovative AI products in fast-paced environments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Work Experience

Machine Learning Engineer at Wayfair

May 1, 2024 - Present

Led the design of an agentic AI workflow that queries Snowflake, Hudi, and AWS RDS, integrating a chatbot to interpret user queries and retrieve business insights, reducing ad-hoc reporting requests by 50%. Optimized customer-facing virtual assistants by implementing Quantized Low-Rank Adaptation (QLoRA) on LLaMA-3.1-7B, reducing inference latency by 30% with vLLM while maintaining high response quality. Evaluated embedding models via A/B testing and human voting, deployed embeddings with a blue/green strategy in Pinecone to ensure zero downtime. Architected concurrent LLM inference handling with Kubernetes and vLLM, including autoscaling and GPU optimization, and implemented benchmarking for latency, throughput, and token generation timing. Strengthened security and compliance across RAG pipelines using Guard-rails, AWS Secrets Manager, and Okta for RBAC. Enhanced catalog metadata enrichment and ETA estimation with real-time feature generation, vision-language embeddings, and CI/CD ab

Machine Learning Engineer at Experion Technologies

March 1, 2021 - July 31, 2022

Designed a clustering solution to segment critical patients, enabling automated scheduling on Docspera and eliminating 40 hours of manual work. Developed a custom hybrid CNN-LSTM model using VGG-16 as a feature extractor to detect manufacturing defects in cell production, with robust monitoring and model versioning. Engineered a risk assessment system using alternate data sources and structured document inputs, enabling inclusive lending through XGBoost, SMOTE balancing, and SQL-based feature pipelines. Automated patient segmentation with clustering models retrained on continually updated medical records, with MLflow versioning and rollback for reliable clinical insights. Automated ID verification processes by deploying a CNN-based model with OCR, saving over 30 hours/week and improving ID extraction accuracy by 85%. Built a scalable FastAPI application to manage end-to-end ML workflows, including retraining, real-time inference, and both online and offline metrics tracking.