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I am a senior AI/ML engineer with a passion for building production-scale, data-driven platforms that solve real-world problems. I enjoy turning complex data into practical solutions that empower teams to move fast while ensuring reliability and security. Throughout my career I have led end-to-end ML initiatives—from knowledge-graph driven fraud detection to retrieval-augmented generation pipelines—leveraging Vertex AI, Apache Spark, and cloud-native microservices on AWS and GCP. I thrive in collaborative environments and am dedicated to building scalable ML workflows, MLOps, and analytics that reduce latency, improve precision, and enable smarter decision-making.…I am a senior AI/ML engineer with a passion for building production-scale, data-driven platforms that solve real-world problems. I enjoy turning complex data into practical solutions that empower teams to move fast while ensuring reliability and security. Throughout my career I have led end-to-end ML initiatives—from knowledge-graph driven fraud detection to retrieval-augmented generation pipelines—leveraging Vertex AI, Apache Spark, and cloud-native microservices on AWS and GCP. I thrive in collaborative environments and am dedicated to building scalable ML workflows, MLOps, and analytics that reduce latency, improve precision, and enable smarter decision-making.

Chandra Sekhar Chandrasekhar

AI Engineer, Data Scientist, Cloud Developer, +2

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I am a senior AI/ML engineer with a passion for building production-scale, data-driven platforms that solve real-world problems. I enjoy turning complex data into practical solutions that empower teams to move fast while ensuring reliability and security. Throughout my career I have led end-to-end ML initiatives—from knowledge-graph driven fraud detection to retrieval-augmented generation pipelines—leveraging Vertex AI, Apache Spark, and cloud-native microservices on AWS and GCP. I thrive in collaborative environments and am dedicated to building scalable ML workflows, MLOps, and analytics that reduce latency, improve precision, and enable smarter decision-making.…I am a senior AI/ML engineer with a passion for building production-scale, data-driven platforms that solve real-world problems. I enjoy turning complex data into practical solutions that empower teams to move fast while ensuring reliability and security. Throughout my career I have led end-to-end ML initiatives—from knowledge-graph driven fraud detection to retrieval-augmented generation pipelines—leveraging Vertex AI, Apache Spark, and cloud-native microservices on AWS and GCP. I thrive in collaborative environments and am dedicated to building scalable ML workflows, MLOps, and analytics that reduce latency, improve precision, and enable smarter decision-making.

Available to hire

I am a senior AI/ML engineer with a passion for building production-scale, data-driven platforms that solve real-world problems. I enjoy turning complex data into practical solutions that empower teams to move fast while ensuring reliability and security.

Throughout my career I have led end-to-end ML initiatives—from knowledge-graph driven fraud detection to retrieval-augmented generation pipelines—leveraging Vertex AI, Apache Spark, and cloud-native microservices on AWS and GCP. I thrive in collaborative environments and am dedicated to building scalable ML workflows, MLOps, and analytics that reduce latency, improve precision, and enable smarter decision-making.

Skills

Python

Google Cloud

Kubernetes

Experience Level

Python

Expert

Google Cloud

Expert

Kubernetes

Expert

Language

English

Fluent

Work Experience

Senior AI/ML Engineer at Ford Credit

June 1, 2025 - Present

Led development of knowledge-graph driven fraud detection systems processing millions of time-series customer records; built secure, auto-scaling inference APIs (FastAPI/Cloud Run); designed and deployed end-to-end ML pipelines on GCP/AWS for real-time fraud scoring and risk assessment; scaled graph processing from 2M to 10M+ records using Spark GraphFrames, improving model precision and reducing false positives; integrated enterprise authentication (Azure AD) and enabled sub-second latency for production workloads.

AI/ML Engineer at CORtracker 360

April 1, 2024 - June 1, 2025

Architected and delivered an enterprise LL M-powered document intelligence platform; automated real-time and batch fraud scoring; reduced feature computation time by 40% and enabled scalable fraud monitoring across large dealer networks; built graph-based feature pipelines (PageRank, centrality, community detection) and integrated with GraphFrames on Spark.

AI/ML Engineer at PhableCare

August 1, 2020 - July 1, 2022

Led ML initiatives digitizing and automating business operations using unstructured data; built data ingestion for chronic disease datasets, applied weak supervision (Snorkel, skweak) for auto-labeling NER tasks; developed pipelines to extract disease-related entities from clinical text with high coverage and accuracy, and constructed medical knowledge graphs linking symptoms, medications, and diagnoses; containerized and deployed ML services on AWS Kubernetes with MLOps practices.