Navneet Parab
About
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AI/ML Engineer | Generative AI | NLP | LLM Fine-Tuning | RAG Pipelines | AWS | Azure | Data Science | Python | MLOps
Gujarat, India
Résumé
Jobs
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AI/ML EngineerCigna HealthcareFeb 2025 - Current (1 year 9 months)• Designed and deployed end-to-end ML pipelines within a secure healthcare environment, leveraging AWS S3, EC2, and SageMaker for large-scale data ingestion and model training. • Implemented NLP-driven automation using Hugging Face Transformers and LangChain, streamlining the processing of clinical notes and reducing manual review time. • Collaborated with cross-functional teams under Agile SDLC to build Generative AI solutions for patient communication, powered by RAG architecture and LLM fine-tuning. • Optimized deployed models through monitoring and retraining workflows in Azure and Google Cloud, ensuring regulatory compliance and reliability in production. • Integrated data visualization dashboards using Power BI and Tableau, enabling s- Data Science ManagerBeviJan 2024 - Jun 2024 (6 months)• Designed and deployed end-to-end ML pipelines within a secure healthcare environment, leveraging AWS S3, EC2, and SageMaker for large-scale data ingestion and model training. • Tested and devised a leak prediction model to predict nozzle leaks before breakdown by using XGBoost. Performed exploratory data analysis and data engineered new pressure variables, achieving an accuracy of 83%. • Designed and created Looker dashboards, including a company-wide tracker for monitoring the company’s goals. Enhanced geographical data by integrating a custom map layer to visualize Canadian postal codes. • Built and operationalized a Speech-to-Text pipeline to collect, store, and transcribe customer support calls, streamlining the analysis of support in
- Machine Learning EngineerOrion TechnolabJan 2020 - Jul 2022 (2 years 7 months)• Developed and implemented machine learning algorithms for e-commerce product recommendations using Python, Pandas, and Scikit-learn, improving recommendation precision by 30%. • Engineered deep learning architectures (CNNs, RNNs, LSTMs) to automate image and text classification, reducing manual labeling workload significantly. • Built and maintained ETL data pipelines with Spark and Kafka, optimizing data throughput and reducing latency in model training workflows. • Created AI-powered chatbots using NLP techniques and Transformer-based models, enhancing customer engagement and reducing response times. • Containerized ML workflows with Docker and Kubernetes, ensuring scalability and reproducibility across multiple environments. • Deployed
Education
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- Master of Science - MS, Data ScienceKhoury College of Computer SciencesJan 2022 - Dec 2025 (4 years)
- Bachelor of Technology - BTech, Electronics and Telecommunications EngineeringKJ Somaiya College of Engineering VidyaviharJan 2018 - Dec 2022 (5 years)
- Junior College, SciencePace Junior Science CollegeJan 2015 - Dec 2017 (3 years)
- Primary & Secondary EducationSt Pius X High SchoolJan 2004 - Dec 2015 (12 years)