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I am a Senior AI/ML Engineer with 9+ years of designing, deploying, and optimizing AI-driven workflow automation across finance, health, and insurance. I specialize in building LLM-based RAG and agentic AI systems, integrating GPT-4, LangChain, LangGraph, and Model Context Protocol to enable enterprise-scale automation, intelligent decision-making, and compliant automation. I thrive in cross-functional teams and am passionate about building reliable, governance-forward AI solutions. I excel in data engineering, MLOps, cloud-native deployments, and interpretable AI, delivering measurable impact while maintaining security and regulatory compliance.…I am a Senior AI/ML Engineer with 9+ years of designing, deploying, and optimizing AI-driven workflow automation across finance, health, and insurance. I specialize in building LLM-based RAG and agentic AI systems, integrating GPT-4, LangChain, LangGraph, and Model Context Protocol to enable enterprise-scale automation, intelligent decision-making, and compliant automation. I thrive in cross-functional teams and am passionate about building reliable, governance-forward AI solutions. I excel in data engineering, MLOps, cloud-native deployments, and interpretable AI, delivering measurable impact while maintaining security and regulatory compliance.

Shiva Velichalamala

Data Scientist, AI Engineer, AI Developer, +2

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I am a Senior AI/ML Engineer with 9+ years of designing, deploying, and optimizing AI-driven workflow automation across finance, health, and insurance. I specialize in building LLM-based RAG and agentic AI systems, integrating GPT-4, LangChain, LangGraph, and Model Context Protocol to enable enterprise-scale automation, intelligent decision-making, and compliant automation. I thrive in cross-functional teams and am passionate about building reliable, governance-forward AI solutions. I excel in data engineering, MLOps, cloud-native deployments, and interpretable AI, delivering measurable impact while maintaining security and regulatory compliance.…I am a Senior AI/ML Engineer with 9+ years of designing, deploying, and optimizing AI-driven workflow automation across finance, health, and insurance. I specialize in building LLM-based RAG and agentic AI systems, integrating GPT-4, LangChain, LangGraph, and Model Context Protocol to enable enterprise-scale automation, intelligent decision-making, and compliant automation. I thrive in cross-functional teams and am passionate about building reliable, governance-forward AI solutions. I excel in data engineering, MLOps, cloud-native deployments, and interpretable AI, delivering measurable impact while maintaining security and regulatory compliance.

Available to hire

I am a Senior AI/ML Engineer with 9+ years of designing, deploying, and optimizing AI-driven workflow automation across finance, health, and insurance. I specialize in building LLM-based RAG and agentic AI systems, integrating GPT-4, LangChain, LangGraph, and Model Context Protocol to enable enterprise-scale automation, intelligent decision-making, and compliant automation.

I thrive in cross-functional teams and am passionate about building reliable, governance-forward AI solutions. I excel in data engineering, MLOps, cloud-native deployments, and interpretable AI, delivering measurable impact while maintaining security and regulatory compliance.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior AI/ML Engineer at Alaska Airlines

January 1, 2025 - Present

Led end-to-end vision-and-language + OCR pipelines for aviation operations, building modular computer vision workflows with OpenCV, PyTorch, and TensorFlow. Implemented multi-stage detection, OCR interfaces, and FastAPI microservices, with automated testing via Azure DevOps and robust logging, optimizing latency for real-time workflow automation.

Senior ML Engineer at State of CA

August 1, 2023 - December 1, 2024

Delivered a real-time financial risk monitoring platform with modular ML services, including anomaly detection, fraud scoring, and time-series forecasting. Built containerized microservices, centralized model registry, and a feature store; implemented end-to-end CI/CD, governance, and cross-team collaboration with risk and compliance stakeholders.

ML Engineer at Elevance Health

March 1, 2021 - July 1, 2023

Developed enterprise predictive analytics and operational risk solutions using XGBoost, neural nets, and time-series forecasting. Built ingestion pipelines, data quality checks, feature pipelines, model registry, and batch/real-time scoring on AKS; implemented drift monitoring and robust evaluation for governance.

Data Scientist at Global Atlantic Financial Group

August 1, 2018 - January 1, 2020

Created customer churn and credit risk models using XGBoost, LightGBM, and scikit-learn; designed analytics workflows for model explanations, BI reporting, and feature pipelines; deployed models via Flask APIs and Docker; built EDA reports and dashboards for stakeholder communication.

Data Engineer at Trigent Software

March 1, 2016 - June 1, 2018

Engineered data pipelines, ETL architectures, and dashboards to support sales forecasting and performance tracking; developed baseline predictive models and automation scripts; built Tableau dashboards and ensured maintainable, modular code with Git-based versioning.

Senior AI-ML Engineer at Alaska Airlines

January 1, 2025 - Present

Led large-scale computer vision workflows (OCR, detection, classification) with OpenCV, PyTorch, and TensorFlow. Built end-to-end OCR pipelines using Tesseract, EasyOCR, and PaddleOCR, and developed modular image-processing architectures. Integrated CV outputs into FastAPI microservices, implemented advanced object detection models (YOLOv5, Faster R-CNN), and optimized inference with model pruning and quantization. Established robust evaluation, logging, and production-ready tooling, including Azure DevOps test plans and reusable CV utilities. Enhanced OCR accuracy through hybrid classical and DL feature enhancements, and deployed CV services in containerized, hybrid cloud environments with CI/CD, monitoring, and scalable deployment practices.

Data Scientist at Trigent Software

August 1, 2018 - January 1, 2020

Developed churn prediction and credit risk models using XGBoost, LightGBM, and scikit-learn. Built feature pipelines from customer demographics, transaction histories, and behavioral signals; deployed models via Flask APIs; created EDA dashboards with Seaborn and Plotly to communicate drivers to stakeholders. Implemented data quality checks and drift monitoring to ensure stable model inputs and trustworthy insights. Collaborated with product, risk, and marketing teams to refine features, thresholds, and rules, driving data-driven decision support.