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Sanjith KumarSK
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Sanjith Kumar

@sanjithkumar

AI full stack engineer building LangGraph/RAG agents, FastAPI backends, and React frontends.

India
Message

What I'm looking for

I’m looking to build production AI full-stack platforms—agent logic (LangGraph/RAG), FastAPI services, and React UIs—running reliably on AWS/Kubernetes, with ownership of end-to-end delivery and measurable impact.

I’m an AI Full Stack Engineer with 3 years of experience building agentic logic (LangGraph, RAG), FastAPI backends, and React.js frontends. At Deloitte, I delivered the AI and full-stack implementation for enterprise healthcare enrollment and cost estimation platforms, including an enrollment demo that convinced the client to commit $15M.

I bring strong end-to-end engineering across data pipelines and cloud infrastructure. I engineered event-driven, high-volume eligibility data pipelines with PySpark, AWS Glue, and Kafka, and led containerized migration of 12 microservices from Red Hat OpenShift to AWS EKS—improving deployment velocity and reducing infrastructure costs.

I thrive on turning complex workflows into reliable systems—whether it’s refactoring data stores into normalized PostgreSQL schemas with SQLAlchemy and enforcing RBAC, or accelerating vendor onboarding by 85% with configuration-driven ETL orchestration. I’m drawn to building practical multi-agent solutions that validate, correct, and deliver trustworthy outputs.

Experience

Work history, roles, and key accomplishments

DE
Current

Associate Engineer

Apr 2025 - Present (1 year 2 months)

Built agentic AI (business-rule extraction, semantic guardrails) plus FastAPI and React workflows for Deloitte’s Digital Enrollment Platform healthcare cloud-migration PoC; the demo helped secure a $15M client commitment. Engineered LangGraph + OpenAI multi-agent pipelines and React dashboards for the Digital Assets Framework, and delivered configuration-driven PySpark/AWS Glue ETL orchestration t

Carelon Global Solutions logoCS

Associate Software Engineer

Carelon Global Solutions

Jul 2023 - Mar 2025 (1 year 8 months)

Engineered an event-driven cloud data pipeline with PySpark, AWS Glue, and Kafka for real-time eligibility feeds, reducing mainframe processing time 40% and increasing data accuracy 35%. Rebuilt the customer enrollment application with Angular and Spring Boot REST APIs (25% faster Oracle SQL query execution) and led migration of 12 microservices from OpenShift to AWS EKS, cutting infrastructure co

Education

Degrees, certifications, and relevant coursework

CT

Cambridge Institute of Technology

Bachelor of Engineering, Computer Science

2019 - 2023

Grade: 7.56 CGPA

B.E. in Computer Science (2019–2023) from Cambridge Institute of Technology, affiliated with Visvesvaraya Technological University; scored 7.56 CGPA. Relevant coursework included full-stack development, database management, object-oriented programming, and machine learning.

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