Hi! I'm a student @ Harvard passionate about machine learning, climate fin-tech, energy, digital design, and cuisine.
SF, NYC
world's first ever all-female hacker house - in SF and NYC
featured on front cover of the New York Times, in USA Today, and inThe Atlantic
scaling operations by connecting founders with VCs from Lux, Pace Capital, BCV, BoxGroup, Soma Capital, Lightspeed, Precursor Ventures, and more
hosted panel event for NY Tech Week, organized builder meetups, founder dinner, demo day, and increased traction and community for the broader female startup ecosystem
New York, NY
Conducted investment-grade research and contributed to memos on high-growth private tech companies and emerging market trends
Santa Cruz, CA
Architected multi-agent AI MVP system that automates early-stage solar project development workflows by screening eligibility, generating site-specific analysis, and creating capital stack strategies, reducing project failure rates from 80% to 30%
Built end-to-end platform using LLM orchestration to automate document generation, finance strategies, and solar project fundability scoring to transform minimal inputs (ZIP code + system size) into comprehensive automated permitting packages with maps, compliance docs, and financing strategies, reducing manual screening time by 75%
New York, NY
Designed a web application with a user interface, backend service, and database integration to onboard 5K+ SFS fields and configurations, supporting 80+ engineers across 3 countries and accelerating development of tools that enhance sustainable finance analysis for Bloomberg Terminal clients and stakeholders
Developed project from end-to-end (wireframe to deployment) in 8 weeks (25% faster than projected by leadership)
Researched the paradoxical juxtaposition between AI computation and climate tech advancement; presented to ~100 employees across the Bloomberg ecosystem (Bloomberg Philanthropies, BNEF, Women in AI, Green Computing Community, and ML Guild), thus spreading Green Computing best practices
New York, NY
Utilized machine learning to solve a multilabel-multiclass, unsupervised learning problem classifying errors from clients’ regulatory reports for the RHUB Transaction Management team, eliminating the need for manual correction
Improved prediction accuracy to 99% on 176K+ new error strings using advanced NLP techniques including word2vec, k- means, and ensemble methods (XGBoost)
Clustered errors from clients’ reports by error-type and implemented methods to increase accuracy of predictions and eliminate the need for manual label correction; solved preexisting model’s overfitting issue through reducing cluster count by 26x
1 of only 6 high school students accepted for undergraduate & graduate students’ engineering internship (214 total interns, ~2% acc. rate)
Advise and mentor students 1-1 on interview preparation, scholarship applications, internship acquisition, essay craft, tutoring, and resume review
Selected to be one of 25 consultants from 1,000 applicants who were all admitted to top 20 universities
Fatimah's Guide has 100K+ followers across Instagram and TikTok
Cambridge, MA
Organizations:
HUCP (Harvard Undergraduate Capital Partners):
Diligence Analyst
Diligence analyst for Harvard's premier venture capital firm, serving 50+ clients with $27B+ in AUM. Selected to join through rigorous application process with <10% acceptance rate
HUCEG (Harvard Undergraduate Clean Energy Group):
Policy Analyst and Sustainable Finance Analyst
AI & Energy Group
HUQT (Harvard Undergraduate Quantitative Traders):
Member
HUMIC (Harvard Machine Intelligence Community):
Future of Intelligence Fellow (FIF)
Harvard AISST (AI Student Safety Team):
Community Member
HUEA (Harvard Undergraduate Effective Altruism):
Arete Fellow
Read 80,000 Hours and The Precipice; discuss AI safety
Club Tennis:
Competitive Team
Coursework:
STAT 110 (Probability)
STAT 111 (Statistical Inference) – In Progress
MATH 22A (Proof-based Linear Algebra & Vector Calculus)
CS 50 (Intro CS)
COMP-LIT 207 (Theorizing Digital Capitalism, Graduate School Seminar)
Cambridge, MA
6.390 (Machine Learning)
MIT Energy and Climate Hackathon (MITEC)
Won 2nd Place at MIT Energy and Climate Hackathon (MITEC)
Interactive data visualization tool and dashboard employing a quantitative model for the climate impact adjusted cost of green steel and HRC prices
Green Prism is a sustainable fixed income procurement intelligence tool integrating transparency and real impact metrics for ESG compliance
Small end-to-end prototype that analyzes green-bond disclosures for transparency and estimates impact (tons of CO₂).
Provides reviewers with a reproducible service that:
(a) lists sample bonds and metadata
(b) scores disclosure transparency (rule-based and optional ML), and
(c) predicts/estimates impact using a rule-of-thumb fallback plus an optional ML intensity model.
Founded GreenTennis to drive global sustainability in tennis, enabling recycling of 150K+ balls across 800+ global facilities
Engineered student ambassador recruitment pipeline and outreach network to span 42+ U.S. States and 13 countries across 5 continents; scaled digital presence through custom web forms, newsletters, personalized automated communications, and eco-tennis initiatives
Formed 10 business partnerships and implemented content management system to track global engagement analytics
Designed brand identity (logo, UX styling) and successfully acquired trademark
Stanford HAI, AI-4-ALL
Developed deep learning model using MNIST data to diagnose 16 diseases from chest X-rays with 95% accuracy
Presented findings to Stanford HAI (Human-Centered AI) Lab and published in NextGen Research Institute journal
Andrew Ng - Machine Learning Certification
Bloomberg ESG Certificate & Sustainable Finance on the Terminal
SQL and Database Design
Global (Remote)
Volunteer as tutor across 6 continents in computer science & mathematics through Calculus III
1 of only 27 Senior-level tutors from 1,738 total Calculus tutors. Top 20% sessions hosted and learners impacted on platform of 15,000+ tutors
Tutor Transcript: [https://schoolhouse.world/transcript/3d6930da-6d9b-4d84-9323-b8c599f54bcd]
Coach ~200 under-resourced youth and lead team of varsity tennis instructors. Collect & donate equipment, organize drills, instill sportsmanship & passion
Quoted alongside high-profile leaders including Bill Gates, Andrew Ng, Fei-Fei Li, and Lina Khan in published MIT Tech Review article
the Big Tech mirage, startup frenzy, and what it’s really like to work in both worlds
very, very little.
why net zero can’t happen without splitting a few atoms... watt a waste.