About

Building practical AI and software.

Sagar is an aspiring AI and software engineer in Bengaluru, India, focused on practical applications, thoughtful engineering, and projects that turn ideas into working products.

Top view of a laptop, pen, and open notebook on a green desk, perfect for business or study themes.

Focus

A steady mix of AI, web development, and practical problem-solving.

Story

A path shaped by engineering, learning, and practical build work.

From B.Tech studies in Computer Science Engineering with AI & ML to hands-on experience at CoAI.Pro, the story stays close to what is being built now: clear thinking, useful systems, and a growing command of modern software tools.

Education

B.Tech in Computer Science Engineering (AI & ML)

Alliance University, Bengaluru. The academic foundation that supports work in AI, machine learning, and software development.

Experience

Software Engineering Internship at CoAI.Pro

A practical environment for building with AI-assisted workflows, product thinking, and web implementation.

Interests

The work stays centered on AI, machine learning, and software craft.

Those interests show up in the kinds of problems explored, the tools used, and the way ideas move from concept to a working interface or system.

AI

Artificial intelligence

Exploring useful applications and model-driven ideas.

ML

Machine learning

Building intuition around data, patterns, and predictive systems.

GenAI

Generative AI

Working through interfaces and workflows shaped by new model capabilities.

Web

Software development

Turning technical ideas into clean, usable web experiences.

Projects

Two projects that show how ideas become working systems.

The project list is kept focused: one product-oriented build and one academic exploration, each named exactly as it was shared.

Project 1

CoAI.Pro

An AI-powered website generation platform designed to help founders create websites through an AI-assisted workflow.

Project 2

Adaptive LLM Inference Engine for Resource-Constrained Systems

An academic project exploring adaptive model selection and efficient local LLM inference based on device resources and task requirements.

Contact

Based in Bengaluru and open to practical opportunities.

For recruiters, technology companies, startup founders, and collaborators, the next step is simple: reach out with the opportunity or idea you want to discuss.

Location: Bengaluru, India

Primary action: Contact Me

What to include

  • ✓What role, collaboration, or project you want to discuss.
  • ✓Any technical focus areas, tools, or goals you have in mind.
  • ✓Whether you are reaching out as a recruiter, founder, or collaborator.