Srinesh Toranala

Artificial Intelligence & Sustainability

High School Student | AI Research | Green AI & Sustainability

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"Let us make our future now, and let us make our dreams tomorrow's reality." - Malala Yousafzai

About Srinesh Toranala

As an Independent Study and Mentorship (ISM) student, I aim to design and develop sustainable AI solutions that benefit various industries while reducing environmental impact. My focus is on Green AI—optimizing artificial intelligence systems to consume less energy through prompt engineering and model efficiency. I'm committed to upholding high standards of professionalism as I expand my network by engaging with and learning from professionals in the AI and sustainability fields.

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About ISM

Frisco ISD's Independent Study and Mentorship program is a program for which students must apply, interview, and be recommended during their junior and/or senior year.

Gifted and high achieving students focus their study on a topic or career of their choice. They develop a research portfolio that has a collection of resources including interviews and observations with people who work in their chosen field or topic of study.

Students work on time management, communication, research, goal setting, various soft skills, and presentation skills with mentors at their mentorship, students gain "real world" experience and also to create an advanced product related to their topic.

Students progressively give longer speech presentations and will give a formal presentation of their product and mentorship in May. Students leave the ISM experience knowing more about their chosen profession and whether or not that profession is the life and career path they desire to choose as they prepare to enter college.

on about the program, visit the Frisco ISD ISM website.

ISM Blogs

Creating my projects & Finding a mentor

January 12th, 2026

Over winter break, I continued to perfect my original work website by getting it to work on Render and improving the UI. I'm really excited to present my display board because I want to talk about how I trained my small AI model to reduce tokens of prompts for large AI models...

Gaining Insights in the Field

December 5th, 2025

I had an interview with Mr. Huang, a Data scientist for environmentally sustainable AI at Google. I learned about how Google is trying to lessen energy consumption through various new techniques. My idea about token count affecting energy consumption is very accurate...

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Research

Research Articles Research Interviews

Research Articles

Explore my collection of research articles on AI, robotics, and sustainable technology.

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Research Interviews

Insights from interviews with professionals in computer science, engineering, and AI fields.

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Projects

Original Work Final Product

Energy Saver AI - Prompt Optimizer

Original Work Project

An AI-driven application that analyzes and optimizes user prompts to reduce computational load and energy consumption. Built with T5 transformer model, measures energy savings using Zeus library, and includes web interface for accessibility.

Tools: Python, PyTorch, Transformers, Flask, DistilBERT

View on GitHub Try Demo

Green AI Research

ISM Research Project

Comprehensive research on reducing AI energy consumption through prompt engineering and model optimization. Explored methods to quantify energy usage and implement sustainable AI practices.

Focus: Sustainable Computing, Environmental Impact

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AI in Environmental Protection

Research Studies

Studied deep learning applications for flood prediction (RAPFLO) and machine learning for air quality monitoring in developing countries, exploring AI's role in climate resilience.

Topics: Climate Change, Predictive Modeling