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I am an AI/ML Engineer with 5 years of experience building machine learning, Generative AI, and data-driven solutions across insurance and financial services. I design production-grade ML models, Retrieval-Augmented Generation (RAG) applications, NLP solutions, and scalable data pipelines using Python and AWS. I specialize in FastAPI, MLOps, distributed data processing, real-time inference systems, and LLM-powered applications, delivering AI solutions that improve operational efficiency, reduce manual effort, and support business-critical decision-making.…I am an AI/ML Engineer with 5 years of experience building machine learning, Generative AI, and data-driven solutions across insurance and financial services. I design production-grade ML models, Retrieval-Augmented Generation (RAG) applications, NLP solutions, and scalable data pipelines using Python and AWS. I specialize in FastAPI, MLOps, distributed data processing, real-time inference systems, and LLM-powered applications, delivering AI solutions that improve operational efficiency, reduce manual effort, and support business-critical decision-making.

Sujal Valeti

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am an AI/ML Engineer with 5 years of experience building machine learning, Generative AI, and data-driven solutions across insurance and financial services. I design production-grade ML models, Retrieval-Augmented Generation (RAG) applications, NLP solutions, and scalable data pipelines using Python and AWS. I specialize in FastAPI, MLOps, distributed data processing, real-time inference systems, and LLM-powered applications, delivering AI solutions that improve operational efficiency, reduce manual effort, and support business-critical decision-making.…I am an AI/ML Engineer with 5 years of experience building machine learning, Generative AI, and data-driven solutions across insurance and financial services. I design production-grade ML models, Retrieval-Augmented Generation (RAG) applications, NLP solutions, and scalable data pipelines using Python and AWS. I specialize in FastAPI, MLOps, distributed data processing, real-time inference systems, and LLM-powered applications, delivering AI solutions that improve operational efficiency, reduce manual effort, and support business-critical decision-making.

Available to hire

I am an AI/ML Engineer with 5 years of experience building machine learning, Generative AI, and data-driven solutions across insurance and financial services. I design production-grade ML models, Retrieval-Augmented Generation (RAG) applications, NLP solutions, and scalable data pipelines using Python and AWS.

I specialize in FastAPI, MLOps, distributed data processing, real-time inference systems, and LLM-powered applications, delivering AI solutions that improve operational efficiency, reduce manual effort, and support business-critical decision-making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Python Developer – AI/ML Engineer (LLM & Generative AI) at Verisk

August 1, 2025 - Present

Built a RAG-powered insurance document intelligence platform using embeddings, vector search, and LLMs, enabling analysts to retrieve policy, claims, and underwriting information while reducing research time by 45%. Developed transformer-based NLP models to classify insurance documents and extract key policy attributes, improving extraction accuracy by 17% compared to legacy rule-based workflows. Designed FastAPI-based inference services and Kafka-driven processing pipelines supporting the analysis of 500K+ insurance documents annually, enabling scalable AI-powered document processing. Implemented LangChain and LangGraph workflows to automate document retrieval, contextual reasoning, and response generation, reducing manual review effort by 35%. Deployed and monitored AI applications on AWS using Docker, CloudWatch, and CI/CD automation, reducing deployment turnaround time by 30% and improving production reliability.

AI/ML Engineer at Vanguard

July 1, 2024 - July 1, 2025

Developed machine learning models for financial forecasting and risk analytics, improving prediction accuracy by 14% through feature engineering and model optimization. Built PySpark-based ETL pipelines processing 3M+ financial records monthly, reducing data preparation time by 40% and accelerating analytics workflows. Deployed machine learning solutions on AWS SageMaker and developed FastAPI services for real-time inference, supporting enterprise analytics applications used by business teams. Implemented MLOps practices including model versioning, monitoring, and CI/CD automation, reducing manual deployment effort by 30%. Delivered predictive analytics solutions that shortened reporting cycles by 25% and improved business decision-making efficiency.

Python Developer – Data & Machine Learning at MAQ Software – Hyderabad, India

April 1, 2021 - July 1, 2023

Developed Python-based backend applications and REST APIs that integrated analytics and machine learning capabilities into enterprise reporting platforms. Built ETL pipelines and data transformation workflows that reduced manual data processing effort by 35% and improved data availability for business reporting. Applied NLP techniques for document analysis and text classification, improving information extraction accuracy by 15% across business document workflows. Performed feature engineering, model evaluation, and data preprocessing activities that improved machine learning model performance and accelerated experimentation cycles.