I'm a Computer Science student at Carnegie Mellon University in Qatar, graduating in 2028.
I build software with language models and do research on them. At Pronto I built the agent behind an AI shopping assistant that is live on their marketplace. At Nestlé I led a Qatar-wide shopper insights study and presented the recommendations to the Country Manager and leadership board.
At CMU-Q, advised by Eduardo Feo-Flushing, I co-authored a paper at ICASSP 2026 on using LLMs to correct speech recognition errors for people with aphasia, and TRAP-QA, a benchmark of common-sense questions with subtle traps (under review at KDD 2027).
Experience
May – Aug 2025
Applied AI Engineer Intern, Doha
- Shipped a conversational AI shopping assistant into the production marketplace at pronto.qa (60+ designers, 2,000+ products).
- Built the Python/LangChain agent backend with a FastMCP tool server: structured-output routing, RAG, complete-look retrieval, and session memory.
- Enriched catalog metadata with LLMs (41 tags per product) and built a synthetic-user tester scoring 10 goals × 3 styles.
Aug 2026 – now
Carnegie Mellon University in Qatar
Computing Services Assistant
- Tested CMU's campus LLM gateway (LiteLLM, vLLM) across 3 models, finding tool-calling failures and missing parser configs.
Aug 2026
Nestlé
Digital Strategy & Analytics Intern, Doha
- Led a Qatar-wide shopper insights study; built a Python pipeline and interactive dashboard on buying habits, channel preferences, and retail conversion barriers.
- Presented recommendations on visibility, conversion, and in-store execution to the Country Manager and leadership board.
Research
* equal contribution
Under review
KDD 2027
KDD 2027
KDD 2027 Datasets and Benchmarks Track, under review · code
- 294-item benchmark of common-sense robustness against deceptive traps, curated from ~6,500 candidates.
- Built the evaluation pipeline (~12,000 LLM calls per run across 10 models) with a 3-judge panel and arbitration.
ICASSP 2026
- LLM error correction for aphasic speech, evaluated across 10 ASR systems (Whisper, AWS, Azure, GCP).
- LLM fusion reached 14% WER (46% relative reduction); phoneme-matched few-shot retrieval gave a 53.8% relative reduction.
Projects
Oct 2025
Apr 2026
- Interactive proposal site for revitalizing Al Jumail, a historic pearling village in Qatar, as a living heritage site.
Teaching
Aug – Dec 2025
15-110 Principles of Computing
Course Assistant, Carnegie Mellon University in Qatar
- Held office hours, led Python review sessions and recitations, and graded assignments and exams.
Awards
2024 – 2026
Dean's List · All-Star Student Merit Scholarship · SURA Apprenticeship · QSIURP Grant