Manish Tula

Manish Tula

Researcher

Hyderabad, India

manishtula7777@gmail.com


About

I'm an AI engineer, computer science researcher, and software developer interested in building technology that makes a meaningful difference. My work spans AI and cognitive science research through MindTrace AI, behavioral intelligence through Neurova, and privacy-focused systems engineering through Hermes. I'm particularly interested in understanding how technology shapes human thinking and designing systems that are both technically rigorous and genuinely useful. Beyond building projects, I enjoy competitive programming, exploring systems and cybersecurity, and participating in international STEM initiatives. I'm currently a research intern at NIT Warangal, exploring how large language models influence learning, cognition, and youth development. I believe great software should do more than work well it should empower people, challenge assumptions, and open up new possibilities. Always happy to connect with fellow builders, researchers, and people working on ambitious ideas.

Skills
Python
Rust
Android
React
Next.js
Google Cloud
Docker
Gemini
System Design
Experience

Researcher, MindTrace AI

Independent Researcher

Mar 2026 to Present
  • Investigated the cognitive effects of LLM reliance on learning and recall through a research study involving 42 participants. Reported a 31% improvement in 7-day recall in the study’s intervention.

Research Intern

NIT warangal

Sept 2026 to Present
  • Research in computer science under Professor E. Suresh Babu, focusing on work associated with the CSE/IoT lab.
Projects

Hermes — Privacy-Preserving Peer-to-Peer Messenger

Developing a privacy-focused desktop messaging application for peer-to-peer communication over Tor. Built around a Tauri interface and a Rust core integrating Arti and Sequoia, the project explores decentralized communication, OpenPGP-based encryption, digital signatures, and secure software architecture.

Rust
Tauri
React
Arti
Tor
Sequoia
OpenPGP

Neurova

Built an interactive platform exploring reaction speed and adaptive intelligence through cognitive tasks, scaling the project to more than 2,000 active users.

MindTrace AI — Cognitive Learning Research

Developed a research pipeline investigating the effects of large language model reliance on conceptual understanding and learning retention. The study involved 42 participants and reported a 31% improvement in seven-day recall.

Education

Class XII — Physics, Chemistry & Mathematics (PCM)

Physics Wallah (PW)

Jun 2026 to Jun 2027
Certifications