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I am a Senior AI/ML Engineer with 10+ years of experience designing, developing, and deploying enterprise-grade AI/ML solutions across banking, mortgage, retail/e-commerce, automotive, manufacturing, telecom, and enterprise automation. I excel at turning data into measurable business outcomes using end-to-end ML lifecycles, real-time inference, and scalable MLOps. My focus areas include Generative AI, Agentic AI and LLM-powered enterprise apps, with practical experience building RAG pipelines, prompt engineering, governance-aware AI, explainability, and policy-grounded decision support. I work with GPT-4, Azure OpenAI, Amazon Bedrock, LangChain, LangGraph, and cloud-native platforms to deliver secure, auditable AI systems for regulated industries.…I am a Senior AI/ML Engineer with 10+ years of experience designing, developing, and deploying enterprise-grade AI/ML solutions across banking, mortgage, retail/e-commerce, automotive, manufacturing, telecom, and enterprise automation. I excel at turning data into measurable business outcomes using end-to-end ML lifecycles, real-time inference, and scalable MLOps. My focus areas include Generative AI, Agentic AI and LLM-powered enterprise apps, with practical experience building RAG pipelines, prompt engineering, governance-aware AI, explainability, and policy-grounded decision support. I work with GPT-4, Azure OpenAI, Amazon Bedrock, LangChain, LangGraph, and cloud-native platforms to deliver secure, auditable AI systems for regulated industries.

Sai Krishna

AI Engineer, Data Scientist, Full Stack Developer, +7

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I am a Senior AI/ML Engineer with 10+ years of experience designing, developing, and deploying enterprise-grade AI/ML solutions across banking, mortgage, retail/e-commerce, automotive, manufacturing, telecom, and enterprise automation. I excel at turning data into measurable business outcomes using end-to-end ML lifecycles, real-time inference, and scalable MLOps. My focus areas include Generative AI, Agentic AI and LLM-powered enterprise apps, with practical experience building RAG pipelines, prompt engineering, governance-aware AI, explainability, and policy-grounded decision support. I work with GPT-4, Azure OpenAI, Amazon Bedrock, LangChain, LangGraph, and cloud-native platforms to deliver secure, auditable AI systems for regulated industries.…I am a Senior AI/ML Engineer with 10+ years of experience designing, developing, and deploying enterprise-grade AI/ML solutions across banking, mortgage, retail/e-commerce, automotive, manufacturing, telecom, and enterprise automation. I excel at turning data into measurable business outcomes using end-to-end ML lifecycles, real-time inference, and scalable MLOps. My focus areas include Generative AI, Agentic AI and LLM-powered enterprise apps, with practical experience building RAG pipelines, prompt engineering, governance-aware AI, explainability, and policy-grounded decision support. I work with GPT-4, Azure OpenAI, Amazon Bedrock, LangChain, LangGraph, and cloud-native platforms to deliver secure, auditable AI systems for regulated industries.

Available to hire

I am a Senior AI/ML Engineer with 10+ years of experience designing, developing, and deploying enterprise-grade AI/ML solutions across banking, mortgage, retail/e-commerce, automotive, manufacturing, telecom, and enterprise automation. I excel at turning data into measurable business outcomes using end-to-end ML lifecycles, real-time inference, and scalable MLOps.

My focus areas include Generative AI, Agentic AI and LLM-powered enterprise apps, with practical experience building RAG pipelines, prompt engineering, governance-aware AI, explainability, and policy-grounded decision support. I work with GPT-4, Azure OpenAI, Amazon Bedrock, LangChain, LangGraph, and cloud-native platforms to deliver secure, auditable AI systems for regulated industries.

Skills

Experience Level

Expert

Expert

Expert

Expert

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Expert

Expert

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Expert

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Expert

Expert

Language

English

Fluent

Work Experience

Senior AI/ML Engineer at Truist Bank

October 1, 2023 - Present

Architected and deployed enterprise-grade AI/ML and GenAI-enabled risk solutions for fraud detection, credit risk scoring, and governance-aware decision support. Built real-time inference services capable of processing 6M+ monthly events and launched cloud-native MLOps pipelines (SageMaker, Docker, Kubernetes, MLflow) to standardize training, deployment, and lineage. Implemented SHAP-based explainability and GenAI-assisted analyst workflows via Bedrock, with a lightweight RAG-based governance layer grounding outputs to approved policies and compliance artifacts. Established human-in-the-loop review and policy-grounded prompts to maintain regulatory alignment. Delivered measurable business impact including improved fraud detection and underwriting consistency, enhanced analyst productivity, stronger model governance, and reduced time-to-value for risk initiatives.

Senior AI/ML Engineer at PennyMac

June 1, 2022 - September 1, 2023

Delivered mortgage risk scoring, loan default prediction, and fraud sensitivity improvements; integrated predictive models into automated origination and servicing workflows. Built Azure-based MLOps pipelines (Docker, Kubernetes, MLflow) to standardize training, deployment, and governance. Developed explainable AI frameworks and GenAI-assisted underwriter summaries, with a retrieval-grounded policy layer to support exception handling and compliance reviews. Automated drift monitoring and retraining triggers to sustain performance under evolving market conditions.

AI/ML Engineer at Camping World

July 1, 2021 - May 1, 2022

Implemented demand forecasting, customer segmentation, and product recommendations to optimize inventory, marketing, and digital commerce. Integrated Spark streaming and Snowflake for real-time analytics, and built containerized inference services with CI/CD to improve deployment reliability and SLA adherence. Developed proactive monitoring dashboards and data governance controls to ensure data quality across large-scale retail datasets.

AI/ML Engineer at Navistar

February 1, 2019 - June 1, 2021

Designed predictive maintenance and anomaly detection models using IoT telemetry; deployed distributed scoring services and real-time health dashboards to enable proactive maintenance and fleet optimization. Implemented automated validation, benchmarking, and model governance practices, with containerized serving for scalable scoring and improved inference latency. Strengthened compliance documentation and collaboration between data science and engineering teams.

Software / ML Engineer at Global Automation India (P) Ltd

June 1, 2015 - June 1, 2018

Delivered early-stage predictive analytics and industrial automation solutions, integrating rule-based automation with ML concepts to improve reporting automation, data quality, and operational intelligence. Built modular data ingestion pipelines, service-oriented components, and automated testing/release practices to support scalable deployments across manufacturing clients. Strengthened security, monitoring, and collaboration with cross-functional teams to enable future AI-driven transformation.