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I'm Saritha Tadlapalli, a Gen AI Engineer and Data Scientist with 10+ years of experience building, deploying, and operating machine learning models across financial services, healthcare, and professional services. I design end-to-end AI solutions, from data pipelines and feature engineering to model deployment and monitoring in production. I enjoy turning complex business challenges into scalable, measurable outcomes. I excel at assembling retrieval-augmented generation pipelines, vector databases, and large language model integrations, while prioritizing governance, security, and reproducibility. I thrive in collaborative environments and love translating data-driven insights into tangible value for customers and stakeholders.…I'm Saritha Tadlapalli, a Gen AI Engineer and Data Scientist with 10+ years of experience building, deploying, and operating machine learning models across financial services, healthcare, and professional services. I design end-to-end AI solutions, from data pipelines and feature engineering to model deployment and monitoring in production. I enjoy turning complex business challenges into scalable, measurable outcomes. I excel at assembling retrieval-augmented generation pipelines, vector databases, and large language model integrations, while prioritizing governance, security, and reproducibility. I thrive in collaborative environments and love translating data-driven insights into tangible value for customers and stakeholders.

Saritha Tadlapalli

Data Scientist, AI Engineer, Data Analyst, +1

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I'm Saritha Tadlapalli, a Gen AI Engineer and Data Scientist with 10+ years of experience building, deploying, and operating machine learning models across financial services, healthcare, and professional services. I design end-to-end AI solutions, from data pipelines and feature engineering to model deployment and monitoring in production. I enjoy turning complex business challenges into scalable, measurable outcomes. I excel at assembling retrieval-augmented generation pipelines, vector databases, and large language model integrations, while prioritizing governance, security, and reproducibility. I thrive in collaborative environments and love translating data-driven insights into tangible value for customers and stakeholders.…I'm Saritha Tadlapalli, a Gen AI Engineer and Data Scientist with 10+ years of experience building, deploying, and operating machine learning models across financial services, healthcare, and professional services. I design end-to-end AI solutions, from data pipelines and feature engineering to model deployment and monitoring in production. I enjoy turning complex business challenges into scalable, measurable outcomes. I excel at assembling retrieval-augmented generation pipelines, vector databases, and large language model integrations, while prioritizing governance, security, and reproducibility. I thrive in collaborative environments and love translating data-driven insights into tangible value for customers and stakeholders.

Available to hire

I’m Saritha Tadlapalli, a Gen AI Engineer and Data Scientist with 10+ years of experience building, deploying, and operating machine learning models across financial services, healthcare, and professional services. I design end-to-end AI solutions, from data pipelines and feature engineering to model deployment and monitoring in production. I enjoy turning complex business challenges into scalable, measurable outcomes.

I excel at assembling retrieval-augmented generation pipelines, vector databases, and large language model integrations, while prioritizing governance, security, and reproducibility. I thrive in collaborative environments and love translating data-driven insights into tangible value for customers and stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Engineer at First Citizen Bank

September 1, 2023 - Present

Designed and optimized real-time data pipelines using Apache Flink, AWS Lambda, and AWS Kinesis to support high-volume financial transactions, improving data flow efficiency by 35%. Built and deployed scalable ML models on AWS SageMaker and Google Vertex AI for fraud detection, risk scoring, and personalized recommendations, increasing decision accuracy and customer conversions. Developed automated ETL pipelines with AWS Glue and Apache Spark, integrating core banking, payment, and transactional systems into secure financial data lakes. Integrated AI/ML models with real-time streams using Apache Kafka and AWS Kinesis for on-the-fly transaction monitoring, anomaly detection, and AML pattern identification. Designed optimized financial data storage architectures using S3 and BigQuery, improving data retrieval performance by 40% for analytics and model training. Created and maintained high-performance data orchestration workflows with Apache Airflow and AWS Data Pipeline, automating multi

Data Scientist/AI/ML Engineer at Change Healthcare

April 1, 2021 - September 1, 2023

Designed and implemented end-to-end ML application architectures using Agile methodologies, ensuring scalable, efficient, and maintainable solutions. Built, trained, and deployed machine learning models to solve business problems, focusing on performance optimization and production readiness. Created automated model training pipelines with hyperparameter tuning and algorithm selection based on data characteristics and problem domains. Deployed and monitored real-time ML inference systems using Docker and Kubernetes, enabling reliable and low-latency predictions. Scaled AI/ML workloads using auto-scaling, load balancing, and resource optimization, supporting high-demand financial applications. Developed credit risk assessment models using logistic regression and decision trees, improving risk evaluation accuracy by 20%. Designed fraud detection and anomaly detection systems using neural networks, Isolation Forest, autoencoders, and AWS Bedrock, increasing detection rates by 25% while re

Data Analyst at Thomson Reuters

November 1, 2019 - March 1, 2021

Optimized data retrieval by organizing and integrating clinical, operational, and administrative data from Azure SQL Database and Azure Data Lake, enabling faster access to healthcare insights. Enhanced healthcare data quality through rigorous cleaning and preprocessing of patient, claims, and operational datasets, ensuring accuracy, completeness, and consistency. Analyzed large-scale healthcare datasets to drive operational efficiency, patient flow optimization, and resource utilization improvements. Conducted exploratory data analysis (EDA) on patient engagement and care utilization data to refine outreach strategies, contributing to reduced operational and care delivery costs. Developed interactive Power BI dashboards for clinicians, administrators, and leadership, significantly improving visibility into healthcare KPIs and outcomes. Compiled and automated reporting on key healthcare KPIs such as patient volumes, readmission rates, length of stay, and service utilization, improving

GEN AI Engineer at CBRE

February 1, 2018 - November 1, 2019

Designed and implemented advanced Generative AI models, including GANs (DCGAN), using TensorFlow to generate high-quality outputs for retail applications, such as product images, marketing content, and customer engagement materials. Implemented Data Architecture Principles to design scalable data pipelines that unified structured and unstructured data sources, improving data availability. Designed and maintained a Technology Architecture Blueprint for LLMOps workflows, enabling seamless integration of generative AI models with enterprise applications. Optimized data governance frameworks to ensure compliance and integrity, integrating tools like BigQuery, Dataflow, and Pub/Sub for real-time data processing. Designed and deployed scalable AI solutions on Google Cloud AI Platform, leveraging tools like Vertex AI to automate financial data predictions and improve loan approval accuracy. Developed custom ML pipelines using GCP components such as Cloud Dataflow, Cloud Storage, and BigQuery

Data Scientist at Mouri Tech

October 1, 2015 - June 1, 2017

Designed, implemented, and optimized machine learning models for credit risk and customer management, including PD, EAD, LGD, loan underwriting, and collections models, improving portfolio performance. Engineered GPU-enabled real-time anomaly detection pipelines using PyTorch, Apache Kafka, and Bayesian modeling, preventing 22% of potential institutional fraud. Developed financial forecasting engines and capital optimization models using XGBoost, PyTorch, and portfolio simulations/stress-testing for better risk-adjusted returns. Deployed low-latency ML APIs with Flask, FastAPI, Kubernetes, and Docker, powering risk and compliance dashboards with sub-50ms response times. Automated large-scale trading analytics workflows using RabbitMQ, Kafka, and Python, reducing execution latency by 40%. Migrated and optimized high-volume risk and trading workloads from legacy SQL systems to Snowflake, reducing query latency by 35%. Built real-time market microstructure monitoring pipelines, enabling f