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I am a Senior AI/ML Engineer with 10+ years of experience designing and deploying end-to-end, data-driven AI solutions across Finance, Telecom, and Healthcare. I specialize in Generative AI and Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG) with LangChain and LlamaIndex to power document intelligence, contextual search, and enterprise chatbots. I build scalable ML and DL solutions for fraud detection, churn prediction, forecasting, and risk modeling, and I excel at MLOps/LLMOps, automating data pipelines, model training, deployment, and monitoring across AWS, Azure, and GCP. I’m passionate about delivering measurable business impact while ensuring governance and responsible AI practices.…I am a Senior AI/ML Engineer with 10+ years of experience designing and deploying end-to-end, data-driven AI solutions across Finance, Telecom, and Healthcare. I specialize in Generative AI and Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG) with LangChain and LlamaIndex to power document intelligence, contextual search, and enterprise chatbots. I build scalable ML and DL solutions for fraud detection, churn prediction, forecasting, and risk modeling, and I excel at MLOps/LLMOps, automating data pipelines, model training, deployment, and monitoring across AWS, Azure, and GCP. I’m passionate about delivering measurable business impact while ensuring governance and responsible AI practices.

Swathi Kasturi

Data Scientist, AI Engineer, AI Developer, +2

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I am a Senior AI/ML Engineer with 10+ years of experience designing and deploying end-to-end, data-driven AI solutions across Finance, Telecom, and Healthcare. I specialize in Generative AI and Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG) with LangChain and LlamaIndex to power document intelligence, contextual search, and enterprise chatbots. I build scalable ML and DL solutions for fraud detection, churn prediction, forecasting, and risk modeling, and I excel at MLOps/LLMOps, automating data pipelines, model training, deployment, and monitoring across AWS, Azure, and GCP. I’m passionate about delivering measurable business impact while ensuring governance and responsible AI practices.…I am a Senior AI/ML Engineer with 10+ years of experience designing and deploying end-to-end, data-driven AI solutions across Finance, Telecom, and Healthcare. I specialize in Generative AI and Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG) with LangChain and LlamaIndex to power document intelligence, contextual search, and enterprise chatbots. I build scalable ML and DL solutions for fraud detection, churn prediction, forecasting, and risk modeling, and I excel at MLOps/LLMOps, automating data pipelines, model training, deployment, and monitoring across AWS, Azure, and GCP. I’m passionate about delivering measurable business impact while ensuring governance and responsible AI practices.

Available to hire

I am a Senior AI/ML Engineer with 10+ years of experience designing and deploying end-to-end, data-driven AI solutions across Finance, Telecom, and Healthcare. I specialize in Generative AI and Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG) with LangChain and LlamaIndex to power document intelligence, contextual search, and enterprise chatbots.

I build scalable ML and DL solutions for fraud detection, churn prediction, forecasting, and risk modeling, and I excel at MLOps/LLMOps, automating data pipelines, model training, deployment, and monitoring across AWS, Azure, and GCP. I’m passionate about delivering measurable business impact while ensuring governance and responsible AI practices.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Sr. Data Scientist Consultant at MTA

October 1, 2024 - Present

Led design of a centralized cloud data platform on AWS and Azure Databricks, integrating fare, IoT-sensor, and schedule data into a unified data lake for enterprise analytics. Engineered PySpark-based data pipelines processing millions of daily ridership and transaction records, reducing latency and manual intervention by 40% and cutting data processing costs by 30%. Built LSTM and Prophet-based forecasts for ridership trends, congestion patterns, and fare revenue; developed reinforcement-learning models to dynamically optimize schedules; created anomaly and fraud-detection models; integrated IoT telemetry via AWS IoT Core for predictive maintenance; implemented NLP pipelines using BERT and AWS Comprehend; deployed Generative AI solutions with LangChain, LlamaIndex, and RAG for automated document summarization and intelligent staff chatbots; introduced LLMOps via Airflow and MLflow; migrated legacy systems to Redshift/RDS; deployed ML microservices with Docker/Kubernetes and CI/CD; bui

Data Scientist at Verizon

January 1, 2022 - September 30, 2024

Designed end-to-end AI analytics solutions for credit-risk, fraud detection, and investment optimization across large telecom datasets. Built ingestion/processing pipelines with AWS Glue and Kinesis to handle billions of data points; performed EDA and feature engineering; developed models for churn, pricing optimization, and network efficiency; implemented ML ops with Airflow, MLflow, and SageMaker; built microservices for model serving with Flask/FastAPI; deployed on Kubernetes; integrated with Tableau dashboards; ensured governance and cross-functional collaboration.

Data Scientist at JP Morgan Chase

November 1, 2019 - December 31, 2021

Implemented end-to-end data science solutions for credit-risk analytics, fraud detection, and investment optimization on petabyte-scale financial datasets. Built models (Logistic Regression, Random Forest, XGBoost, SVM, Gradient Boosting) for risk scoring and default forecasting; accelerated training/scoring with Apache Spark MLlib on AWS EMR; deployed services via SageMaker and containerized REST APIs; applied NLP for document classification and compliance data extraction; created dashboards for risk and exposure; established ETL pipelines and model governance with Airflow and CI/CD.

Data Analyst/Data Scientist at UnitedHealth Group (UHG)

December 1, 2017 - October 31, 2019

Analyzed healthcare claims and EHR data to uncover trends in patient behavior, utilization, and costs. Built ETL pipelines, predictive models for readmission risk and high-cost patients, and dashboards for clinical and ops teams. Implemented NLP pipelines for medical entity extraction and automated ticket tagging; introduced AWS-based ML automation to scale experimentation; ensured HIPAA/PHI data governance and model monitoring; mentored junior staff.

GIS Data Analyst at Zeil Technologies Pvt. Ltd.

August 1, 2013 - March 31, 2016

Collected and preprocessed large geospatial datasets; built spatial databases (PostGIS, MySQL, SQL Server); performed spatial analysis (buffer, overlay, interpolation) and created interactive dashboards in Tableau/QGIS; automated ETL and map production; supported geocoding and coordinate systems; ensured data quality and governance.