Industry Work
From Wikipedia, the free encyclopedia
This article covers the professional work experience of Aneesh Kumar. For his personal projects, see Aneesh Kumar (Projects).
Platform Engineering Intern @ Quantifind
May 2025-Ongoing
As a Platform Engineering Intern at Quantifind, Aneesh Kumar contributes to building and maintaining the core infrastructure that underpins Quantifind's AI systems. His work focuses on large-scale API integration, managing data processing pipelines, and ensuring that large-scale AI services run efficiently and reliably. This role combines practical engineering with a deep curiosity about how systems operate at scale.
"It taught me how much impact the 'invisible' parts of a system have." —Aneesh KumarAneesh began his internship in Summer 2025 and was invited to continue part-time alongside his undergraduate studies. Working on production systems gave him a clearer sense of how infrastructure supports every layer of AI development, from experimentation to deployment, and how thoughtful engineering enables real-world impact.
The Risk Intelligence Company
Software Engineering Intern @ Oracle
May 2024-August 2024
Oracle was Aneesh's first software engineering internship. He came on as a back-end software engineering intern but quickly transitioned to a full-stack role, working with databases and cloud services. Over the course of the internship, he learned how to manage projects and software on a large scale, with a great emphasis on communication and collaboration.
His primary project was a full-stack module with a chatbot to fetch and analyze user data from natural language. He was the lead developer on a team of three, developing an efficient AI inference pipeline to achieve their project objective within a strict compute budget. Concluding the internship, they pitched the idea to the team of 50+ engineers from 8+ time zones. During the course of the internship, he also earned a certification as an OCI Gen AI Professional (and a few more on cloud infrastructure), expanding on his technical knowledge.
His primary project was a full-stack module with a chatbot to fetch and analyze user data from natural language. He was the lead developer on a team of three, developing an efficient AI inference pipeline to achieve their project objective within a strict compute budget. Concluding the internship, they pitched the idea to the team of 50+ engineers from 8+ time zones. During the course of the internship, he also earned a certification as an OCI Gen AI Professional (and a few more on cloud infrastructure), expanding on his technical knowledge.
Technologies: Python, GraphQL, FastAPI, TypeScript/JavaScript, React, OCI, Docker, Oracle Database
Cloud Platform & Applications