(May 2024 - Dec 2024)
Software Engineer Intern
South Bay Area Research Institute, California
constcoder={name:'V Meenakshi Iyer',skills:['React', 'NextJS', 'Redux', 'Express', 'NextJS', 'MySql', 'MongoDB', 'Docker', 'Java', 'Solidity', 'AWS'],hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};
Who I am?
I am an aspiring technologist with a passion for Human-Computer Interaction, Artificial Intelligence, and designing ethical, inclusive solutions to tackle real-world challenges. With a strong foundation in accounting and hands-on experience in software development, I bring a unique blend of analytical expertise and technical proficiency to the table. I am driven to advance research and innovation at the intersection of technology and social impact, leveraging my skills in web and app development to create pioneering, human-centered solutions. My commitment to continuous learning and adaptability empowers me to collaborate effectively in diverse teams and contribute to the achievement of strategic goals. Eager to join a forward-thinking organization, I aspire to optimize operational efficiency and foster innovation through my expertise in development, project management, and communication. By bridging technical knowledge and social responsibility, I aim to deliver transformative solutions that drive growth, catalyze efficiency, and address pressing global challenges.
Designed and developed a native Android app for automating attendance marking, improving user experience by 30% and tracking accuracy by 40%, streamlining the process and boosting productivity.
SiNET is a secure data model explorer for IoT and compliance, utilizing Linux, Flask, and React. It improves data processing by 25%, user adoption by 30%, and enhances scalability while reducing latency by 15%. Deployed in Gilroy, California, it powers RFID-enabled reusable cups for community recycling, sustainable transport, and profit-sharing, fostering a circular economy for global sustainability.
A full-stack web app teaching the 17 Sustainable Development Goals (SDGs) through interactive AI-driven lessons. Features include an AI Tutor with lifelike Text-to-Speech and Lip Sync, multilingual support, and seamless user experience. Built with Next.js, GPT-3, ElevenLabs API, Rhubarb Lip Sync, Google Translate API, and a Python-Express back-end.
Developed and deployed a Telegram chatbot using pretrained models like DialoGPT, GPT-2, and LLaMA. Conducted a research study to analyze response quality and user perceptions of conversational AI, enhancing user interaction and model performance.
Created an AI-driven question paper generator using UiPath, automating the creation of customized papers based on syllabus inputs and desired patterns. Reduced preparation time by 40%. Tech Stack: UiPath, AI, Automation.
A Python-based web application designed to automate the scheduling of timetables for educational institutions. This system helps administrators create and manage timetables for classes, teachers, and rooms while reducing manual effort and errors. Includes a backend API (built using Python) for generating timetables and a user-friendly frontend for easy interaction and visualization.
I'm currently looking for new opportunities, my inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!