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vectraxis_labs

Ananthakrishnan

@vectraxis_labs

Backend and AI Engineer specializing in LLM, RAG, and Deployment

Vereinigte Staaten
Englisch, Malayalam, Tamil, Hindi, Arabisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
Backend & AI engineer, 5+ years shipping production systems. I add AI to existing apps: LLM features, RAG assistants grounded in your data, and tool-calling agents that take real actions (Claude, GPT-4o, FastAPI, Spring AI). I also deploy apps end-to-end with Docker, CI/CD, Terraform, and AWS. Recent work: built a full RAG research platform solo on FastAPI + pgvector, cut LLM costs ~90% with prompt caching, and ran enterprise microservices on AWS ECS Fargate. Clean, tested, documented code and clear communication. Message me before ordering so I can scope your project and confirm fit.... Mehr lesen

Kompetenzen

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vectraxis_labs
Ananthakrishnan
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

KI-Integrationen
I will integrate chatgpt or claude ai into your app or website
Ab90 $ / ProjektWeitere Details
DevOps-Containerisierung
I will deploy and dockerize your app on AWS or any cloud
Ab30 $ / ProjektWeitere Details

Portfolio

Arbeitserfahrung

Tata_Consultancy Services

Tata Consultancy Services

Vollzeit • 2 yrs 10 mos

Senior Software Engineer

Dec 2020 - Jun 2022 • 1 yr 6 mos

Built a patient-management platform using Java and Spring Boot microservices. Secured endpoints via Spring Cloud Gateway with JWT and RBAC. Deployed services to AWS ECS Fargate using AWS CDK for Infrastructure-as-Code. Managed centralized configurations with Spring Cloud Config and Kafka. Automated delivery through GitHub Actions and Flyway migrations, ensuring high scalability and monitoring via CloudWatch.

Software Engineer

Aug 2019 - Dec 2020 • 1 yr 4 mos

Developed a 6-service ticketing platform featuring API Gateway and service discovery. Implemented a SAGA-based booking flow with Redis seat holds and Kafka-driven notifications using the outbox pattern to ensure distributed consistency. Utilized JPA optimistic locking and secured endpoints with JWT. Conducted integration testing using Testcontainers and deployed containerized services to AWS ECS Fargate.