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Krishna Jeena

AI & Software Engineer

I build AI-powered applications and full-stack systems that solve real problems. Whether it's training language models, designing neural architectures, building production systems at scale, or shipping mobile applications, I work across the stack wherever the problem demands it.

Currently at AI4Bharat working on large-scale data pipelines for language technology projects. I've built and deployed systems spanning Android apps, web backends, ML pipelines, automation tools, and data infrastructure. Each project reflects both technical depth and real-world impact.

My work includes: LLM-powered applications that automate complex workflows, computer vision models for image enhancement and classification, geo-spatial data systems, retrieval-augmented generation pipelines, and creator tools that remove friction from existing processes. I code across Android, Python, FastAPI, Flask, PyTorch, and use AI-assisted development with modern tools.

Most of what I build starts with a problem. Something that doesn't exist yet, or what exists is broken, fragmented, or unnecessarily complex. I'm drawn to building at the intersection of AI, scale, and meaningful impact.

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

PythonPyTorchFastAPIFlaskKotlinAndroidVueNext.jsPostgreSQLRAGClaudev0CodexJavaTensorFlowLLMs