# Sriram Ananthakrishnan > Senior Software Engineer @ Oracle Cloud AI Platform team | AI/ML Training Infra using ML Pipelines | Kubernetes Controllers and Multi-Homed Networking Location: Atlanta, Georgia, United States Profile: https://flows.cv/sriramananthakrishnan Senior Engineer specializing in cloud-native distributed systems, Kubernetes networking, and AI platform architecture, with 9+ years of experience across Oracle OCI, Itential, and TransUnion (Data Science). Currently architecting and building multi-tenant networking infrastructure for OCI’s large-scale AI training and inference platforms. Designing Kubernetes data plane systems using Multus CNI, custom IPAM integrations, and custom daemonsets to enable secure, cost-efficient, and high-performance multi-tenant pod networking at scale. Tech Lead for ML Pipelines, driving the architecture and implementation of scalable ML workflow infrastructure that supports end-to-end model lifecycle management, from training and orchestration to automated deployment and production inference. Deep experience in ML platform infrastructure and distributed systems engineering, enabling reliable model training, streamlined experimentation, and production-grade AI deployments. ## Work Experience ### Senior Software Engineer @ Oracle Jan 2024 – Present | Austin, Texas Metropolitan Area ML Jobs Infra Designed and implemented K8s data plane and networking infrastructure for OCI’s multi-tenant AI training platform. Implemented OSS mounts in Kubernetes using Rclone as a sidecar and custom FUSE mounts for ML workloads to support checkpointing of their distributed batch training jobs. Built custom multi-homed networking for large-scale training and inference workloads using Multus CNI and contributed to the development of a custom IPAM solution to enable scalable, cloud-native pod networking. ML Pipelines Tech lead for ML Pipelines and shipped multiple features since it's GA. Designed and implemented a novel solution for our serverless spark service’s integration with ML Pipelines using Kafka events and a cross tenant rule which protects event delivery, which will allow customers to make their data storage of model artifacts transient using a set of ephemeral tokens which bolstered Oracle’s stand on data protection. ### Software Engineer 2 @ Oracle Jan 2020 – Jan 2024 | Austin, Texas, United States Architected a multi-region distributed integration testing framework acting as a global canary system, proactively detecting failures and improving reliability across OCI realms. Key contributor to the GA launch of ML Pipelines on OCI, enabling end-to-end machine learning workflow orchestration for large-scale distributed training and inference; authored the official Terraform provider (Golang) to support infrastructure-as-code automation. Co-architected a real-time streaming model inference platform (“Stream Manager”) with a Java control plane and Golang binary inference runtime, delivering scalable, production-grade model serving using co-located containers with internal streaming endpoints safeguarded by linux network namespaces. ### Senior Software Engineer @ Itential Jan 2019 – Jan 2020 | Atlanta * Redesigned the backend architecture of a micro-service to work with larger network payloads using Python, Flask and RabbitMQ. • Built a Proof of Concept to read, parse and execute existing Terraform scripts. • Built a monitoring tool using Apache Spark and Python to analyze issues with internal network modules in Ansible and cut development time by 80%. * Worked with VMWare to create an SDN automation using nodeJs of their BGP protocol routing onboarding for internal customers. ### Data Science Intern @ TransUnion Jan 2019 – Jan 2019 | Atlanta, Georgia * Built an ETL data pipeline to process 3 Million employer names, created an algorithm to deduplicate it and created attributes with it. * Used RSpark and Sparklyr to build a model to predict the default rate for a given loan amount and visualized it using ggplot. * Reduced time taken to identify industry segments and its default rate, given an employer, by 150% and presented to key stakeholders ### Business Intellegince and Analytics Intern @ Mohawk Industries Jan 2019 – Jan 2019 | Greater Atlanta Area * Created a PoC using Azure IoT, DataBricks and PowerBI to detect and predict sensor variations in the factory * Created dashboards to generate and visualize customer metrics in PowerBI connected to SAP HANA. ### Graduate Research Assistant @ Georgia State University - J. Mack Robinson College of Business Jan 2018 – Jan 2019 | Atlanta,Georgia Working in the marketing department of the Executive Doctorate of Business Program. Perform statistical analysis on the alumni and current student data and develop marketing strategies to better market our program. UI/UX design changes for the EDB website. ### Senior Software Engineer @ Perfios Software Solutions Pvt. Ltd. Jan 2016 – Jan 2018 | Bangalore,India • Was part of the core team which created a Proof Of Concept for India's NBFC-AA digital movement. • Built a feature called Portfolio Insights which analyzes peer portfolios using clusters and suggests a portfolio makeup. • Integrated Gmail API with our server to scan and process email's containing bank statements. • Used gRPC to make the bank-end system more scalable and performance intensive. • Worked with ICICI Bank for a product called ICICI Goals as a full stack engineer. • Mentored junior engineers with respect to the technology stack and product workflows. ### Software Engineer @ Perfios Software Solutions Pvt. Ltd. Jan 2015 – Jan 2016 | Bangalore, India • Built a solution which scans a bank statement and creates a financial report used to judge a person's credit score. • Built an image pre-processor using simpleCV and OpenCV to detect skews and the PPI (pixels per inch) of an image before extracting the characters from it using ABBYY OCR. • Built a feature called the Wallet which helps integrate multiple digital wallets on to the website. • Built the complete infrastructure to extract and process user data from bank websites using Python and Selenium with ChromeDriver as a headless browser. ### Engineering Intern @ Red Hat Jan 2014 – Jan 2014 | Bangalore,India Nature of Duties: • To write scripts to automate the functional testing of a feature in RHEL 7.0. • Worked on Fixing a specific issue on the Directory Server. • Worked on a pytest framework module for RHEL 6.6. ### Engineering Intern @ Perfios Software Solutions Pvt. Ltd. Jan 2013 – Jan 2013 | Bangalore,India Designed a HTML Data Parser using C++. ## Education ### Master's degree in Computer Information Systems ( Big Data Concentration ) Georgia State University - J. Mack Robinson College of Business Jan 2018 – Jan 2019 ### Bachelor's degree in Computer Science PES University Jan 2011 – Jan 2015 ### High School in Computer Science National Public School Jan 2009 – Jan 2011 ## Contact & Social - LinkedIn: https://linkedin.com/in/sriram-ananthakrishnan --- Source: https://flows.cv/sriramananthakrishnan JSON Resume: https://flows.cv/sriramananthakrishnan/resume.json Last updated: 2026-03-22