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I’m Adithya Surineni, a Senior AI & Data Scientist with 12+ years of experience building production-grade AI/ML and generative AI solutions, especially on Azure. I’ve worked across highly regulated environments like financial services and government, delivering risk analytics, fraud and incident prediction, severity forecasting, and explainable risk scoring systems that stakeholders can trust. I also specialize in NLP and agentic AI—designing end-to-end RAG pipelines and document intelligence platforms using tools like LangChain, LlamaIndex, and LangGraph, along with model fine-tuning using LoRA/QLoRA. From architecture and MLOps to monitoring, drift detection, and compliant deployment, I enjoy turning complex requirements into scalable systems that improve decision-making, governance, and operational outcomes.…I’m Adithya Surineni, a Senior AI & Data Scientist with 12+ years of experience building production-grade AI/ML and generative AI solutions, especially on Azure. I’ve worked across highly regulated environments like financial services and government, delivering risk analytics, fraud and incident prediction, severity forecasting, and explainable risk scoring systems that stakeholders can trust. I also specialize in NLP and agentic AI—designing end-to-end RAG pipelines and document intelligence platforms using tools like LangChain, LlamaIndex, and LangGraph, along with model fine-tuning using LoRA/QLoRA. From architecture and MLOps to monitoring, drift detection, and compliant deployment, I enjoy turning complex requirements into scalable systems that improve decision-making, governance, and operational outcomes.

Adithya Surineni

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I’m Adithya Surineni, a Senior AI & Data Scientist with 12+ years of experience building production-grade AI/ML and generative AI solutions, especially on Azure. I’ve worked across highly regulated environments like financial services and government, delivering risk analytics, fraud and incident prediction, severity forecasting, and explainable risk scoring systems that stakeholders can trust. I also specialize in NLP and agentic AI—designing end-to-end RAG pipelines and document intelligence platforms using tools like LangChain, LlamaIndex, and LangGraph, along with model fine-tuning using LoRA/QLoRA. From architecture and MLOps to monitoring, drift detection, and compliant deployment, I enjoy turning complex requirements into scalable systems that improve decision-making, governance, and operational outcomes.…I’m Adithya Surineni, a Senior AI & Data Scientist with 12+ years of experience building production-grade AI/ML and generative AI solutions, especially on Azure. I’ve worked across highly regulated environments like financial services and government, delivering risk analytics, fraud and incident prediction, severity forecasting, and explainable risk scoring systems that stakeholders can trust. I also specialize in NLP and agentic AI—designing end-to-end RAG pipelines and document intelligence platforms using tools like LangChain, LlamaIndex, and LangGraph, along with model fine-tuning using LoRA/QLoRA. From architecture and MLOps to monitoring, drift detection, and compliant deployment, I enjoy turning complex requirements into scalable systems that improve decision-making, governance, and operational outcomes.

Available to hire

I’m Adithya Surineni, a Senior AI & Data Scientist with 12+ years of experience building production-grade AI/ML and generative AI solutions, especially on Azure. I’ve worked across highly regulated environments like financial services and government, delivering risk analytics, fraud and incident prediction, severity forecasting, and explainable risk scoring systems that stakeholders can trust.

I also specialize in NLP and agentic AI—designing end-to-end RAG pipelines and document intelligence platforms using tools like LangChain, LlamaIndex, and LangGraph, along with model fine-tuning using LoRA/QLoRA. From architecture and MLOps to monitoring, drift detection, and compliant deployment, I enjoy turning complex requirements into scalable systems that improve decision-making, governance, and operational outcomes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Javanese

Advanced

Work Experience

Senior Data Scientist at Northern Trust

February 1, 2024 - Present

Partnered with business leaders and engineering teams to translate analytical requirements into scalable, production-ready Azure-based AI solutions. Led workshops and solution design sessions, demoed GenAI prototypes, and converted evolving needs into technical roadmaps. Built Python-based ML/GenAI pipelines, RAG/document intelligence architectures, and interactive monitoring dashboards for stakeholders. Implemented event-driven and streaming scoring workflows using Azure Event Hubs and Kafka, containerized services for scalable inference, and MLOps practices with MLflow, model versioning, promotion, and drift-aware retraining. Delivered full-stack components by integrating React and building supporting Java Spring Boot microservices and Angular modules for internal tools, while mentoring junior data scientists on production AI engineering standards and agentic workflow patterns.

Senior AI Engineer at State of Mississippi

March 1, 2021 - January 31, 2024

Led an enterprise AI initiative focused on intelligent document analysis, predictive analytics, and NLP-driven automation on Azure and AWS. Evaluated model performance, robustness, and explainability using SHAP and LIME, and ensured compliance with data privacy and audit-trail requirements for production deployments. Built predictive models for classification, regression, clustering, and anomaly detection, including incident prediction and risk prioritization frameworks to guide investigations. Implemented transformer-based NLP for multi-label document classification and metadata extraction, plus computer vision pipelines for scanned document analysis using OpenCV and scikit-image. Developed containerized inference services, integrated outputs into government systems via REST APIs and ServiceNow, and delivered KPI monitoring via Power BI and governance tooling such as Collibra. Managed ETL/data preparation with Azure Data Factory and supported operational orchestration using Tibco Busi

Machine Learning Engineer at T-Mobile

June 1, 2017 - February 28, 2021

Contributed to an enterprise ML platform on Azure for fraud detection, customer segmentation, and predictive analytics. Designed end-to-end ML pipelines covering preprocessing, feature engineering, training, evaluation, and batch/real-time scoring. Built fraud risk scoring and severity classification models to prioritize investigations, including continuous performance and drift monitoring with scheduled retraining. Developed NLP preprocessing and text-driven features for fraud signals, and applied clustering techniques to generate subscriber archetypes for personalized retention and recommendations. Implemented Spark-based workflows with PySpark for scalable telecom data processing and built REST endpoints for real-time fraud alerting. Addressed imbalance with SMOTE and supported backend validation with SQL, while also building optimization solutions in C++ using IBM ILOG CPLEX for network planning.

Data Analyst at Blue Cross Blue Shield

February 1, 2014 - May 31, 2017

Analyzed claims and operational datasets to identify trends, cost drivers, and risk exposures across healthcare and insurance workflows. Supported underwriting by pulling and validating claims data for accurate risk assessment, and contributed to forecasting and variance analysis initiatives. Built and maintained complex SQL Server stored procedures, views, and indexed queries for reporting performance. Developed financial models and executive-ready analyses using Excel, including VBA macros and automated data validation/reconciliation workflows. Supported audits, HIPAA compliance reporting, and regulatory needs by ensuring outputs met privacy and governance requirements. Performed statistical analysis and scenario modeling with SAS to support actuarial planning, pricing, and operational risk assessment.