Hi! My name is Dishana. I recently completed high school and was a fully funded YTS scholar at Plaksha University, where I co-built “Marvin,” an autonomous indoor robot. I’ve published a research paper on Quantum Temporal Lattice theory and worked on applied AI projects, including NLP bots and CLI tools. I’ve also freelanced in AI automation and received a 90% scholarship at FIITJEE for academic excellence.

Updates

2025: Started internship at Lawroom AI as a Junior AI Evangelist — contributed to automation in legal AI pipelines, improved model accuracy, and supported prompt engineering for client-focused systems.

2025: Published a research paper on Quantum Temporal Lattice, a theoretical physics concept merging M-theory with time loops.

2025: Provided a hands-on demo and guided people on how AI could be efficiently used in real-world scenarios.

2024: Conducted a detailed theoretical project on Gauss’s Law — performed calculations, thought experiments, and reached a formal conclusion about electric flux distribution.

2024: Joined The Indian Vidyarthi as a summer student, engaging in workshops on sustainability and global development.

2023: Participated in a CLI-based hackathon; secured second position and received a ₹7,000 cash prize.

2023: Explored machine learning; created bots and AI agents — including a Twitter bot that automates pre-call research and lead qualification.

2022: Received a 100% scholarship to attend the YTS program; built an autonomous robot named Marvin equipped with LiDAR and ultrasonic sensors.

2021: Received a diploma in software learning.

2019: Enrolled in a formal software learning program.

2018: Received a silver medal in the BOB Wonderkid IQ-based competition.

2018: Built an HTML-based webpage that served as a reference guide for users facing common CMD issues.

2017: Started training at Infotech Solutions; later began working there.

2017: Participated in a city-wide Go Green campaign and received a prize for the same.

2016: Received a token of recognition for raising funds for people with visual and hearing impairments.

About in Detail

This section contains life updates in detail:

2016: Received a token of recognition for raising funds for visually and hearing-impaired individuals during a city-wide charity campaign.

2017: Participated in a city-wide Go Green campaign; awarded for contributions.
Began training at Infotech Solutions in hardware troubleshooting and system recovery.

2018: Built an HTML-based reference webpage to assist users with common CMD errors.
Won a silver medal in the Brainobrain Wonderkid competition for IQ and logical thinking.

2019: Enrolled in software learning to deepen understanding of system and program architecture.

2021: Received a diploma in Computer Science Software Learning from Next Generation Technical Institute.

2022: Awarded a 100% scholarship to attend the YTS program at Plaksha University.
Built Marvin, an autonomous robot equipped with LiDAR and ultrasonic sensors for indoor navigation.

2023: Set up a fundraiser shop at the school fete, raising the second-highest amount for Ukrainian relief efforts (₹19,500).
Developed ML-driven bots and AI agents including a Twitter automation tool for lead qualification.
Secured 2nd position and ₹7,000 in a CLI-based hackathon for developing the CMD Error Detector & Fixer tool.

2024: Selected as a Summer Student at The Indian Vidyarthi, focused on urban sustainability and global policy workshops.
Theoretically conducted and completed a high-level project on Gauss’s Law, involving precise calculations and thought experiments, culminating in insightful conclusions about electric flux through non-uniform shells.

2025: Led an AI awareness session with hands-on demos, guiding students and young professionals on how to efficiently leverage AI in their daily workflows.
Published a research paper on Quantum Temporal Lattice theory in IJSAT, combining string theory and time-loop concepts.
Began internship as Junior AI Evangelist at Lawroom AI, contributing to the automation of NLP pipelines and improving the quality and performance of legal-tech models.

Updates

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About in Detail