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.

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.


Experience

Intern — AI Products

Stage OTT

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.

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

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.

Under Review IEEE Access, 2024

Research Areas

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


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


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.

LockStep

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

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

Delphi

A trading bot grounded in behavioral finance — models cognitive biases, market sentiment, and crowd psychology to identify mispriced assets and contrarian entry points.

Python Sentiment Analysis Behavioral Finance

The Logit

AI-powered newsletter that curates, summarizes, and contextualizes the latest developments in machine learning and AI research.

Next.js GPT-4 Automation

Zettelkasten

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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