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AM
Ajay Madhusudhan Thumala
Junior Software Engineer specializing in data engineering and LLM applications
Irvine, CAAI Engineer Intern1 years experienceJuniorHealthcareHealthcare ITTechnology
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About
Computer science engineer and master’s graduate who independently built a mechatronics-heavy capstone prototype: a smartphone concept for deafblind users using micro-actuator arrays for braille reading. Also has platform engineering experience at Quantiphi, deploying webhooks to Kubernetes and implementing GitOps-based CI/CD using AWS CodeCommit/CodeBuild and ECR.
Experience
AI Engineer InternGeisinger Health System
Software EngineerSAP
Software Engineer (Data)Quantiphi Inc
Software Engineer Intern (GCP)Quantiphi Inc
Software Developer InternFord Motor Company
UC Irvine Capstone Project - The Braillephone ProjectUniversity of California, Irvine
UC Irvine Keystone Project in partnership with SAPUniversity of California, Irvine
Student AI EngineerSAP
AI Engineer Intern - Data ScienceGeisinger
Software EngineerUniversity of California, Irvine
Software Engineer - DataQuantiphi Inc
Software Engineer Intern - GCPQuantiphi Inc
Education
University of California, Irvinemaster, Computer Science (2025)
SRM Universitybachelor, Computer Science (2023)
SRM ISTbachelor, Computer Science & Engineering (2023)
Key Strengths
- End-to-end ownership of a solo capstone (design, mechatronics, software)
- Hands-on hardware/mechanical iteration using CAD and 3D printing (resin/PLA)
- Analytical debugging of actuator failure via force/friction/mass calculations; corrected electromagnet winding (500 turns vs >2000 needed)
- Cloud-native platform engineering experience (Kubernetes deployments, GitOps CI/CD on AWS)
- Built a low-latency speech-to-text backend API for an accessibility-focused (deafblind) smartphone prototype
- Pragmatic handling of STT latency by streaming intermediate transcription buffers to users
- Hands-on Kubernetes deployment experience (webhook) with AWS-based CI/CD automation
- Implemented GitOps-style CI with automated triggers on main branch commits and Docker image build/publish to ECR
- Designed secure partner data ingestion on AWS using S3 VPC endpoints, least-privilege IAM, and IP-based restrictions
- Operationalized multi-partner data exchange with per-partner buckets and standardized directory/metadata requirements
- Takes LLM prototypes to production via structured phases (requirements, research, engineering, validation)
- Uses diagrams/visuals to align stakeholders and clarify requirements early
- Simplifies complex agentic/state-machine prompt flows using LangGraph
- Real-time troubleshooting approach leveraging centralized logging + Elasticsearch and detailed customer prompt/context capture
- Delivers client demos that include performance and cost metrics with charts/graphs
- Partners with sales/customer teams by proactively suggesting improved report formats (e.g., pivoting tables) to drive BI adoption
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