ML · Cloud · Infra

Hi, I’m Shreekar Earanti

CS @ UW–Madison. Previously at Lumafield, GE HealthCare, and research labs (ORNL, Fermilab, UW-Madison). I work on reliable AI/ML systems, platform/infra, and full-stack products.

View Projects View Experience

Experience

Where I’ve worked

AI/ML research, platform/infra engineering, and full-stack engineering.

Aug 2025 — Dec 2025 · Oak Ridge, TN

AI Research Engineer · Oak Ridge National Laboratory

Built surrogate modeling for electric motor design under Dr. Nishanth Gadiyar.

Developed GAN and physics-constrained NN frameworks to replace computationally expensive FEA analysis.
Built diffusion autoencoders and transformers for multi-objective rotor optimization; submitted to IEEE ITEC/EATS 2026 (Pending Approval).

May 2025 — Aug 2025 · San Francisco Bay Area

Software Engineer · Lumafield

Platform + Infra, launched Voyager Government Cloud (ITAR compliant).

Shipped ITAR-ready GovCloud stack (AWS GovCloud, DynamoDB, EKS, EC2, S3, Terraform).
Added observability for Redis/Celery/K8s; streamlined CI/CD and dev workflows.

Sep 2024 — Aug 2025 · Madison, WI

Undergraduate ML Research Engineer · UW–Madison TRAIL Lab

Full-stack + ML for SLAI, an AI-powered educational tool.

Engineered semantic search backend by fine-tuning SBERT on classroom dialogue (0.97 similarity accuracy).
Built deployment with Python, Supabase, Next.js, Pinecone for Wisconsin science classrooms.

May 2024 — Aug 2024 · Greater Chicago Area

Software Engineer · GE HealthCare

Full stack, cloud infrastructure, and ML integrations.

Managed AWS EKS with Helm; added Istio mTLS, improving pod-to-pod latency by 20%.
Shipped certificate-based clinician login (Angular/Node.js/AWS KMS/EC2/S3) and Spring Boot + Kafka ingestion.
Developed PoCs for AI-powered fetal heart rate analysis for cloud based perinatal monitoring systems.

Jun 2022 — Sep 2022 · Greater Chicago Area

Software Engineering Intern · Fermilab

Developed tools for physics researchers.

Built desktop software and analysis tooling to support physics research workflows.

Education

Academic background

Where I’ve studied.

Madison, WI

University of Wisconsin–Madison

Bachelor of Science, Computer Science.

Focus areas: AI/ML, data systems, and distributed systems.
Coursework and projects aligned to machine learning, big data, architecture, and infrastructure.

Projects

Selected work

Highlights of things I’ve built.

WeatherFlow

Data Systems

Weather data processing platform that ingests, stores, and analyzes weather data.

View Repo

Multi-Accelerator Inference Serving Platform

Infrastructure

Inference serving platform that intelligently routes requests across CPUs and GPUs.

View Repo

Contact

Let’s talk

Reach out for work opportunities, collaborations, or just to say hi.

shreekar.earanti@gmail.com · earanti@wisc.edu

Email Me LinkedIn GitHub