Research & Innovation
ai-singhal is an AI/ML researcher and early-career developer with a strong focus on natural language processing, LLM bias mitigation, and algorithmic accountability. Their portfolio demonstrates a keen interest in academic research and rapid prototyping, frequently utilizing Python, Jupyter Notebooks, and modern frontend tools like TypeScript and React. While they excel at conceptualizing and documenting scientific methodologies, their codebase reflects typical research-focused patterns that prioritize experimentation over production-ready software engineering.
The score reflects GitHub profile completeness and software engineering maturity rather than fundamental research capability. Strong technical innovation and domain expertise in AI/ML are evident, despite the need for improved project packaging, security, and reproducible code practices.
The profile provides a partial picture. While the developer clearly possesses strong conceptual knowledge and research capabilities, the frequent absence of complete code, hardcoded scripts, and monolithic designs indicate that robust, production-level software engineering practices are either still developing or not fully visible here.
Prioritizes exploration over polish
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A Comparative Study of Translation Bias and Accuracy in Multilingual Large Language Models for Cross-Language Claim Verification
This is a maze game to help students learn and reinforce their concepts on USA/World Geography while having fun.
Codebase for political bias mitigation in ChatGPT using Anthropic's ConstitutionalAI principles
Contains files used to conduct research on analyzing trends for hate speech on Twitter using Sentiment Analysis - an NLP approach.