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lohitredddy/README.md

Chandra Tekulapally

Building software across applications, infrastructure & ML.

SDE II ML at Amazon Web Services

LinkedIn Focus Systems


About me

I'm a software engineer with a full-stack background and a current focus on machine learning systems. My interests include LLM inference, KV-cache reuse, memory efficiency, and model-serving infrastructure.

Previously, I worked on web applications, microservices, automated testing, and delivery pipelines.

Engineering toolkit

Applications Infrastructure Current interests
Java · Spring Boot AWS · Docker LLM inference & serving
React · TypeScript CI/CD · Jenkins KV-cache reuse
GraphQL · REST APIs SQL · MongoDB Memory efficiency

Experience

Amazon Web Services
SDE II ML · May 2026–present
SDE ML · December 2024–April 2026

DBS Bank
Full Stack Developer · September 2020–August 2022
React and TypeScript micro frontends, GraphQL, Spring Boot microservices, testing, and containerized delivery.

NCR Corporation
Full Stack Developer · January–July 2020

Open-source workspace

A few infrastructure projects I'm exploring through forks:

Education

MS, Computer Science · California State University San Marcos · 2022–2024
Bachelor's, Computer Science · JNTUH College of Engineering Hyderabad · 2016–2020


Let's connect on LinkedIn ↗

Personal profile · Views are my own

Pinned Loading

  1. aws-sigv4-proxy aws-sigv4-proxy Public

    Forked from awslabs/aws-sigv4-proxy

    This project signs and proxies HTTP requests with Sigv4

    Go

  2. lmc_external_kv_service_sm_backend lmc_external_kv_service_sm_backend Public

    Forked from ChandraLohit/lmc_external_kv_service_sm_backend

    Python

  3. LMCache LMCache Public

    Forked from KHC831/LMCache

    Python