THE ARCHIVE

Research · Engineer · Build

Established 2026


Shreyas SmarthEngineer by practice, researcher by curiosity.

Personal Record


About

I am a final-year Computer Science Engineering student and software engineer focused on building practical systems that solve real-world problems. I spend much of my time exploring software engineering, artificial intelligence, machine learning, and distributed systems. My work ranges from mobile application development and web platforms to open-source contributions and experimental AI systems.

I am particularly drawn to problems that lie at the intersection of intelligence, automation, and human utility. Rather than treating technology as an end in itself, I am interested in understanding how systems can be designed to reduce complexity, improve decision-making, and create meaningful value. My recent work has involved AI-assisted applications, adaptive media systems, educational tools, and data-driven platforms.

Outside formal study, I enjoy documenting what I learn, contributing to open-source projects, and investigating unfamiliar ideas through hands-on experimentation. I view engineering as a continuous process of observation, learning, and refinement — and I maintain this archive as a record of that journey.

Currently investigating adaptive AI systems, large language models, and intelligent decision-making architectures. Preliminary findings expected throughout 2026.

Areas of Investigation

Python · Java · Kotlin · Android Development · Flutter · Machine Learning · Deep Learning · Reinforcement Learning · Natural Language Processing · Agentic AI · Systems Design · Web Development · REST APIs · Open Source

Filed Works


Projects & Work

ABRengine

2025
ACTIVEPython · PyTorch · FastAPI

An adaptive bitrate engine designed to improve video streaming quality through intelligent decision-making. The system applies reinforcement learning to dynamically select optimal bitrate configurations based on network conditions, reducing buffering while preserving visual fidelity.

llmopt

2026
ARCHIVEDPython · LLM · Optimization

A framework exploring the application of large language models to optimization problems. The system leverages LLM reasoning capabilities to formulate, analyze, and iteratively solve structured optimization tasks — combining natural language understanding with computational methods.

Professional Record


Experience

Software Engineer Intern

June 2023 – July 2023

Sumago Infotech

Nashik, Maharashtra, India

Applied structured version control workflows and modular solution design within a production codebase. Strengthened understanding of scalable application architecture through collaborative engineering practices.

Correspondence


Contact

Correspondence may be directed via email. I am available for research collaborations, serious technical discussions, and consulting inquiries. Response time is typically within a few days.

REF: ARCH-OPEN ACCESS