SMARTH ARCHIVE
Research · Engineer · Build
Established 2026
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
2025An 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
2026A 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 2023Sumago 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.