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Krishna Jeena

AI & Software Engineer

I build AI-powered applications and full-stack systems that solve real problems. From training language models and designing neural architectures to shipping production systems and mobile apps. I work across the stack wherever the problem demands it.

Previously interned at AI4Bharat (IIT Madras), working on large-scale data pipelines and language technology for Indian languages. That experience shaped how I think about building at scale, with real data, real constraints, and real users.

Right now, I'm building independently, shipping apps like Srutam, ReadX, and tools powered by LLMs, retrieval-augmented generation, computer vision, and on-device AI. I've deployed systems spanning Android, Python, FastAPI, Go, PyTorch, and modern AI-assisted development workflows.

I'm actively looking for roles that push me further, something more challenging, more impactful, where I can build at the intersection of AI, engineering, and scale. If you're working on hard problems, I'd love to talk.

I share my work and learnings on X.

Focus Areas

AI Applications

LLMs, computer vision, retrieval systems, and neural networks

Full-Stack Development

Web backends, APIs, data pipelines, and systems at scale

Android & Mobile

Native apps with Kotlin, Jetpack Compose, and production optimization

Tech Stack

PythonPyTorchFastAPIGoKotlinAndroidNext.jsPostgreSQLFirebaseLLMsRAGTensorFlowJavaFlaskDocker