Experience

Building resilient systems from multi-strategy hedge funds to bio-photonics labs.

Industry Experience

VFM

Summer Intern

Verition Fund Management

$13 Billion Multi-Strat Hedge Fund

June 2025 - August 2025

Dubai, UAE

  • Rotated across 5 investment pods over 10 weeks: Emerging Markets Long/Short, Equity Volatility, Event-Driven (Merger Arbitrage), Long/Short Consumer, and Delta One Strategies (Dividend Futures)
  • Conducted sensitivity and scenario analysis on convertible bond positions including ratchet provisions, takeover scenarios, and bond floor valuations, directly informing trading decisions on hybrid debt instruments
  • Presented merger arbitrage trade pitches to senior portfolio managers, analyzing risk-reward profiles and deal completion probability for pending European M&A transactions
Convertible BondsMerger ArbitrageEquity VolatilityEmerging MarketsDelta One
ULC

Software Engineering Intern

Ujala Life Clinic

Healthcare Tech

Jan 2025 - May 2025

New York, USA

  • Built automated financial and operational reporting systems using Google Cloud, reducing weekly report generation time by 80% and enabling data-driven management decisions across clinic operations
  • Standardized metrics across 2 clinic locations through custom data pipelines, processing 25,000+ monthly data points and improving cross-location performance tracking accuracy by 75%
Google CloudData PipelinesPythonHealthcare DataReporting
Q

Product and Data Intern

Qlub Payments Australia

Fintech Startup

June 2023 - August 2023

Sydney, Australia

  • Developed a data analytics dashboard processing 50,000+ daily transactions from Amazon S3, enabling real-time restaurant metrics visualization and improving decision response time by 40%
  • Engineered an automated data pipeline using Python and REST APIs that processes daily tip analysis across 200+ restaurants, reducing manual reporting time by 75% while maintaining 99.9% data accuracy in PostgreSQL
  • Collaborated with the Global Business Intelligence unit to develop transaction data dashboards using AWS, enhancing data accuracy for Australian operations, leading to a 35% increase in operational efficiency
PythonAmazon S3REST APIsPostgreSQLAWS
BFS

Vice President

Business and Finance Society, NYUAD

Student Organization

Dec 2024 - Present

Abu Dhabi, UAE

  • Implemented a structured coffee chat mentorship program facilitating over 50 one-on-one sessions, connecting underclassmen with executive board members for personalized finance career guidance
  • Organized and moderated 4 fireside chats with industry professionals and alumni from top-tier investment banks and funds, attracting 70+ students per event and facilitated direct networking opportunities
  • Led operations and programming for the Student Investment Fund (10-week equity research training program), managing logistics, guest speaker outreach, and cross-team coordination
  • Served as Portfolio Manager within the SIF, coaching analyst teams on company due diligence, financial modeling, and trade idea development, culminating in stock pitches evaluated by industry judges
MentorshipEvent PlanningLeadershipPortfolio Management
CDC

Global Career Peer

Career Development Center, NYUAD

Career Services

Aug 2025 - Present

Abu Dhabi, UAE

  • Support 100+ students per semester in leveraging CDC resources through one-on-one advising, workshops, and resume/cover letter reviews
  • Provide guidance on internship grants, experiential learning opportunities, and academic-career planning tailored to student goals
  • Maintain and update centralized job and internship tracker, ensuring accurate and accessible opportunities database for the NYUAD student body
Career AdvisingWorkshopsJob TrackerStudent Support

Academic & Clinical Research

NYU

Research Assistant

Computational Biology and Bioinformatics Lab, NYU Abu Dhabi

Bioinformatics Research

June 2025 - Present

Abu Dhabi, UAE

  • Developed and benchmarked machine learning pipelines for colorectal cancer detection from 16S rRNA gut microbiome data, achieving AUC scores up to 0.88 on held-out test sets
  • Engineered a cross-cohort data augmentation framework to validate model generalization across three geographically diverse populations (Malaysia, Sri Lanka, Saudi Arabia) and two sequencing platforms (Illumina MiSeq, Oxford Nanopore)
  • Processed raw sequencing reads through QIIME 2 pipelines, performing OTU clustering against the Greengenes 13_8 reference database and implementing four feature selection methods to reduce dimensionality from 4,000+ OTUs
Machine LearningMicrobiome DataQIIME 2Cancer DetectionData Augmentation
NYU

Research Assistant

Computational Medicine Laboratory, NYU New York

Clinical Research

Sept 2024 - Dec 2024

New York, USA

  • Designed and implemented data engineering and preprocessing pipelines over 20,000+ encounter-level EHR records, restructuring them into a longitudinal cohort of 674 patients with time-series features for long COVID risk-factor modeling
  • Developed automated data-quality validation rules (duplicate-date detection, pre-screening filters, consent-symptom consistency checks), programmatically flagging and excluding 183 problematic patient IDs (387 records) to produce a rigorously curated analysis dataset
  • Built exploratory analysis and visualization workflows (patient-level timelines, symptom incidence over time, consent-date distributions) to characterize cohort structure and guide downstream modeling and feature-engineering decisions
  • Conducted technical literature reviews on predictive modeling frameworks for at-risk patient identification and examined N3C OMOP-based long COVID dashboards to position the project within large-scale, multi-institutional EHR research infrastructure
EHR DataData EngineeringLong COVIDData VisualizationPython
UNSW

Research Assistant

Spine Labs, University of New South Wales

Medical Research

June 2024 - August 2024

Sydney, Australia

  • Engineered a comprehensive data pipeline that processed and standardized 1,200+ medical manuscripts across 8 different formats, achieving 95% data standardization accuracy and reducing processing time by 60%
  • Led extensive evaluation of LLM architectures through extensive literature analysis, resulting in selection of a cost-effective solution that reduced computational overhead by 40% while maintaining 98% accuracy
Large Language ModelsMedical TerminologyNLPData Pipelines
NYU

Machine Learning Research Assistant

Laboratory for Advanced Bio-photonics and Imaging, NYU Abu Dhabi

Academic Research

Aug 2023 - May 2024

Abu Dhabi, UAE

  • Developed and validated 3 machine learning models for tissue classification with over 98% accuracy, ensuring their reliability and effectiveness in identifying tissue types
  • Co-authored a conference publication based on contributions to the development of AI models for tissue classification, leading to an invitation to present at the National Collegiate Research Conference at Harvard University
  • Prepared and processed Raman spectral data using baseline correction and normalization techniques, improving data quality by 75%
Machine LearningRaman SpectroscopyTissue ClassificationData Processing