Komal Mathur

I research AI and build things with it. Ranked 1st out of 2,684 CS students at Manipal Institute of Technology. Published at EMNLP and IEEE Access.

My work focuses on natural language processing, AI safety, and the languages that modern AI leaves behind. I've done counter-terrorism research at Meta, won the CyberAI Cup 2024 — 1st out of 699 teams from 102 countries — and I'm currently building a few things I'll share when they're ready.


Education

B.Tech Computer Science Engineering

Manipal Institute of Technology

CGPA: 9.87/10 · Rank: 1/2,684 · 1st in CSE Department

High School (PCM)

Lotus Valley International School, Noida

98.6% in 12th CBSE (School Topper) · 96.6% in 10th CBSE


Experience

Intern — AI Products

Stage OTT
  • Automated outbound calling pipeline, reducing cost to 1/4th of the previous system
  • Deployed autoresearch at industry scale for content and market intelligence
  • Built chatbot-driven games that increased user retention by 10% on day 1

Technology Analyst

Bank of New York (BNY)

Software Developer Intern

Bank of New York (BNY)
  • Built an Angular App Builder and CI/CD pipeline, reducing mobile app deployment time by 60%
  • Shipped a VS Code Copilot extension leveraging internal knowledge bases for context-aware UI code generation

Counter-terrorism Researcher

Meta, Mythos Labs
  • Fine-tuned Llama 3.2 for automated de-radicalization monitoring with real-time risk-scoring dashboards
  • Scoped and tested ML features with international stakeholders (Meta, OSCE)
  • Attended PCVE conference in Tashkent, Uzbekistan, sponsored by Meta and OSCE

Technical Head & AI Subsystem Head

Research Society Manipal
  • Leading 200+ students pursuing undergraduate research in AI and NLP
  • Organized foundational ML workshops on regression, loss functions, and optimization

Samsung PRISM Intern

Samsung R&D India
  • Built vector database adapter with unified interface across multiple backends for Smart Home events
  • Reduced LLM fine-tuning requirements by 60% through retrieval-augmented generation

GenAI Intern

Info Edge, Naukri.com
  • Developed automated Question Generation pipeline with GPT-4o and MySQL, reducing manual intervention by 95%
  • Streamlined prompt engineering processes, achieving 25% increase in model efficiency

Research

My research focuses on NLP, AI safety, and low-resource language processing. Full list on Google Scholar.

REACTS: Robust Ensemble Approach with Comprehensive Temporal and Spectral Features for TTS Speech Detection

Mathur, K., Shah, A.G., Chowdhury, P., Balachandra, M., Pang, S.

IEEE Access 2026 · Multidisciplinary open-access journal of the IEEE

Bangla Sentiment Analysis using Weighted and Majority Voted Fine-Tuned Transformers

Seth, P., Goel, R., Mathur, K., Vemulapalli, S.

EMNLP 2023 · Conference on Empirical Methods in Natural Language Processing

Research Areas

Natural Language Processing · Transformers · LLM Hallucinations & Biases · Mechanistic Interpretability · RAG Systems · Explainable AI · Low-Resource Languages · AI Safety & Alignment


Awards

1st Place Globally — CyberAI Cup 2024

International Cyber Security Data-Mining Society (ICSDS), Auckland, New Zealand. Ranked 1st out of 699 teams from 102 countries. Developed novel ensemble approaches for TTS speech detection and network intrusion detection.

Director's Diamond Jubilee Award

Manipal Institute of Technology. Awarded for ranking 1st out of 2,684 students across the first three years.

Achiever's Scholarship

Rs. 1,01,800 for academic excellence, awarded in the 1st, 2nd, and 3rd year consecutively.


Projects

Selected work. More on GitHub.

Niffler

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A personal knowledge graph for X — save tweets with one click, let AI organize them, and explore your saved knowledge through a 3D graph. Open source, self-hostable, no tracking.

Node.js SQLite Chrome Extension Claude

AutoInterpret

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AI agent that explores whether neural architecture search can discover more interpretable network designs — automated experiment loops with interpretability scoring, causal ablation, and circuit analysis.

Python Neural Architecture Search Mechanistic Interpretability

LockStep

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AI-assisted therapy dashboard that helps clinicians track patient progress, surface patterns across sessions, and generate structured insights for treatment planning.

Python React OpenAI API D3.js

Aldous

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AI chatbot monitoring dashboard with user session analytics, chat record retrieval, and document management. Built for tracking conversational AI interactions at scale.

Node.js MongoDB Express Vercel

Zettelkasten

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A scientific note-taking app based on the Zettelkasten method — interconnected knowledge cards that mirror how ideas actually link together.

Swift UIKit Storyboards

Skills

Languages

Python, C/C++, Java, JavaScript, TypeScript, Swift

Tools & Frameworks

Git, SQL, MongoDB, MySQL, Angular, Django, RESTful APIs, Docker, Node.js

Coursework

Data Structures & Algorithms, System Design, Operating Systems, Database Systems, Computer Networks, Software Engineering


Opinions|

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Latest

“The more I think, the less I am.”

Read essay →

Building in the Age of Builders

Steve Jobs was right. Just not about the part you think.

“People do not know what they want until you show it to them. But you do not know what to show them until you know who they are.”

The Infinite Research Loop: AGI?

Everyone has a date for AGI. The dates keep changing. Maybe the question is wrong.

“AGI is not a light switch. It is a dimmer. And someone has been turning it up for years.”

Apocaloptimism

The believers sound like fanatics. The fanatics sound like realists. Only one of them is right.

“The only honest position is to take both seriously, hold the tension without flinching, and build.”