Kausthubh J Rao profile photo 1 on Tal

Kausthubh J Rao

(AI && Backend) Engineer | Top 15% leetcode | Open Source Maxxing | Go & Python | Distributed Systems

Greater Bengaluru Area

2+ years of work experience

EdgeVerve
Feb 20251 y 7 moPresent

Hybrid

Core Architecture: Migrated a legacy monolith to a decoupled microservices architecture, improving deployment velocity and system fault tolerance. Performance Tuning: Resolved critical Python memory leaks (95% reduction in heap bloat) and optimized relational database indexes, reducing query latency from 180ms to 10ms. Agentic AI Pipelines: Designed backend APIs and processing layers powering an automated UI generation framework, accelerating onboarding for 100+ enterprise clients. Throughput & Reliability: Architected multithreaded backend services that increased production throughput by 150%, backed by an asynchronous processing engine using the transactional outbox pattern and stateful retries to guarantee zero data loss. Research: Co-authored AI4UI (published on arXiv), a multi-agent framework for automated code generation with built-in security compliance guarantees.
Cantilever Labs
Nov 20224 mosFeb 2023

Mangaluru, Karnataka, India

Kausthubh’s AI Stack

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Education

N M A M Institute of Technology, NITTE

Bachelor of Engineering - BE, Artificial Intelligence

N M A M Institute of Technology, NITTE

20214 yrs2025

PCMC = College Degree, Computer Science

Canara Pre University College

20192 yrs2021

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Headline

(AI && Backend) Engineer | Top 15% leetcode | Open Source Maxxing | Go & Python | Distributed Systems

About

I'm a Backend / AI engineer working on AI systems and distributed infrastructure at EdgeVerve. Professionally I work primarily in Python building production AI systems, high-throughput APIs, asynchronous processing pipelines, and distributed back end services. My work includes improving throughput, reducing latency, building fault-tolerant systems, designing reliable event-driven architectures and solving hard problems in the space of AI like Context, Memory, Retrieval etc. Outside of work I spend most of my time in Go contributing to open source. I'm an active contributor to Gitea and have contributed to projects such as gRPC-Go and Black. I enjoy developer tooling, databases, distributed systems, performance engineering, low-level system internals and AI engineering. I love recreational programming, where i take common topics like compilers, regex parser, language server features etc and try to build it from scratch, This allows me to learn things from the ground up, make sane technical decisions, understand trade offs and learn to build great software. Tech is a major part of my life, that's why you would see me in major tech events happening all around Bangalore. Learning, understanding and seeing various perspective around engineering, leadership and management to constantly up skill myself. If you see me around there don't be shy to drop by and say hi. And lastly i love speaking and developing content around tech and sharing it with other people, thats why you might catch me posting something cool i found or something new i learnt, This passion for my work keeps me immensely motivated to constantly do new stuff in life. If any of the things i spoke about interests you, You should pull up and speak, chances are i would also enjoy a nice conversation around it.

Location

Greater Bengaluru Area

AI stack

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Work experience

AI Engineer at EdgeVerve, Feb 2025 - Present · 1 y 7 mo, Hybrid, Core Architecture: Migrated a legacy monolith to a decoupled microservices architecture, improving deployment velocity and system fault tolerance. Performance Tuning: Resolved critical Python memory leaks (95% reduction in heap bloat) and optimized relational database indexes, reducing query latency from 180ms to 10ms. Agentic AI Pipelines: Designed backend APIs and processing layers powering an automated UI generation framework, accelerating onboarding for 100+ enterprise clients. Throughput & Reliability: Architected multithreaded backend services that increased production throughput by 150%, backed by an asynchronous processing engine using the transactional outbox pattern and stateful retries to guarantee zero data loss. Research: Co-authored AI4UI (published on arXiv), a multi-agent framework for automated code generation with built-in security compliance guarantees.

Intern at Cantilever Labs, Nov 2022 - Feb 2023 · 4 mos, Mangaluru, Karnataka, India

Education

Bachelor of Engineering - BE, Artificial Intelligence, N M A M Institute of Technology, NITTE

PCMC = College Degree, Computer Science, Canara Pre University College

Public links

github: https://github.com/exgene

leetcode: https://leetcode.com/kausthubhjrao