Griffins Kiptanui Lelgut Too
🇰🇪From Kenya to Cornell

Griffins Kiptanui Lelgut Too

Data Science • Full-Stack • AI • Blockchain

Information Science at Cornell '28

Building accessible tech — from full-stack apps to ML models

Full-Stack Dev

React, Django, Next.js

Data Science

Python, ML, Analytics

UX/Design

Figma, Accessibility

Blockchain

Solidity, Web3.js

AccessibilityCommunityClean CodeImpact

Experience

Combining technical excellence with meaningful community impact

Professional Experience

AI4ALL

AI Ignite Fellow

Remote

Sep 2025 - Present
  • •Selected for prestigious AI Ignite Fellowship focused on ethical AI development and community-driven machine learning initiatives
  • •Collaborate with industry mentors and fellows to design AI solutions that prioritize fairness, interpretability, and measurable social impact
  • •Conduct applied research exploring responsible AI practices and data ethics in real-world applications

Cornell CIS

Teaching Assistant — INFO 1300

Introduction to Web Programming | Ithaca, NY

Aug 2025 - Present
  • •Empower 110+ undergraduate students to master web development fundamentals including HTML5, CSS3, and JavaScript
  • •Lead weekly lab sessions, grade assignments with detailed feedback, and conduct one-on-one debugging sessions
  • •Mentor students in problem-solving approaches and clean coding practices, significantly improving their technical proficiency

Craiive

Full-Stack Intern

AI Food-Inventory Startup | Remote

Sep 2025 - Present
  • •Developed full-stack AI-powered food inventory application using Flutter, Dart, Firebase, and Python in fast-paced startup environment
  • •Successfully integrated machine learning models into backend APIs and optimized schema design for scalability
  • •Designed intuitive UX and implemented responsive frontend components, contributing to product-market fit validation

Capital One

Analyst Early Internship Program (AEIP) Summit

Virtual | McLean, VA

August 2025
  • •Competitively selected for Capital One's exclusive AEIP Summit — immersive two-day experience exploring the intersection of data, business strategy, and technology
  • •Engaged in intensive business case workshops, developed data-driven product recommendations, and networked with senior analysts and leadership
  • •Gained valuable insights into analytics-driven decision-making, customer-first product development, and Capital One's innovative culture

Cornell AMRC

Document Conversion Specialist → Project Coordinator

Student Disability Services | Ithaca, NY

Sep 2024 - Present
  • •Promoted from Document Conversion Specialist to Project Coordinator, demonstrating strong leadership in academic accessibility operations
  • •Orchestrate project workflows, cross-team communications, and quality control for 50+ courses each semester, ensuring 100% on-time delivery
  • •Reduced average turnaround time from 5 days to 3 days through process optimization and Python automation scripts for content conversion
  • •Champion accessibility and inclusion, directly impacting students with disabilities' academic success at Cornell

Power Learn Project

Full Stack Web Development

Nairobi, Kenya

Feb 2024 - Jun 2024
  • •Competed in 2 major hackathons, successfully building and presenting scalable, innovative web applications under tight time constraints
  • •Transformed technical solutions into profitable business ventures generating $4,000 in annual revenue, demonstrating entrepreneurial acumen
  • •Mastered efficient Django backends and Dart frontends optimized for real-world deployment and user engagement

DirectEd Development Foundation

Full Stack Web Development

Nairobi, Kenya

Apr 2023 - Aug 2023
  • •Completed an intensive 10-week full-stack web development boot camp utilizing the MERN stack, gaining a strong foundation in both front-end and back-end development methodologies
  • •Contributed significantly to the development of interactive web solutions by fostering seamless cross-functional collaboration within agile development teams
  • •Developed a strong proficiency in key front-end technologies including HTML5, CSS, Tailwind CSS, and React.js, enabling the creation of dynamic, responsive, and user-friendly interfaces
  • •Gained practical proficiency in troubleshooting, identifying and resolving API integration errors, front-end rendering bugs, and database query issues utilizing debugging tools and systematic problem-solving methodologies

Community Engagement & Leadership

Cornell Blockchain Club

Explorer → Full Member

Cornell University | Ithaca, NY

2024 - Present
  • •Progressed from Explorer to Full Member, demonstrating exceptional commitment and technical proficiency in blockchain technology
  • •Actively engage in cutting-edge research and development of decentralized applications, smart contract programming with Solidity, and blockchain protocol analysis
  • •Collaborate with talented peers on innovative blockchain projects, attend technical workshops with industry leaders, and contribute to Cornell's vibrant Web3 ecosystem
  • •Participate in hackathons and blockchain competitions, building practical solutions that explore the transformative potential of decentralized technologies

CodePath

Student Fellow

Technical Interview Prep Program | Remote

Feb 2025 - May 2025
  • •Completed intensive Technical Interview Prep (TIP 101) program mastering data structures, algorithms, and problem-solving strategies
  • •Strengthened Python proficiency through weekly LeetCode-style challenges, peer programming sessions, and mock technical interviews
  • •Collaborated with diverse cohort of students preparing for software engineering interviews at top tech companies

Cornell East Africans Together Club

Treasurer

Cornell University | Ithaca, NY

2024 - Present

Manage club finances, budget allocation, and fundraising initiatives while coordinating cultural showcases and mentorship programs celebrating East African heritage.

First Generation Student Union, Cornell

Member

National Society of Black Engineers, Cornell

Member

Underrepresented Minorities in Computing, Cornell

Member

Cornell Rotaract

Member

ColorStack

Member

Relevant Coursework

  • •Introductory Statistics
  • •Introduction to Computing with Python
  • •Calculus I
  • •Design & Web Programming
  • •Object-Oriented Programming in Java
  • •Calculus II
  • •Introduction to Data Science
  • •Choices and Consequences in Computing

Portfolio

Dive into my portfolio to discover the diverse projects I've had the pleasure of working on. From concept to completion, each project demonstrates my commitment to excellence and my ability to bring ideas to life.

Nestopia

Blockchain • Full-Stack • AI

Built a revolutionary decentralized rental marketplace exclusively for Cornell students, featuring an intelligent AI-powered recommendation engine that matches students with their ideal housing based on preferences, budget, and lifestyle, while leveraging blockchain technology with Solidity smart contracts and Web3.js integration to enable secure, transparent, tokenized payment transactions with zero intermediary fees and complete transaction immutability.

ReactDjangoSupabaseSolidityWeb3.js
View Repository

AI News Summarizer

AI • NLP • Machine Learning

Created an advanced natural language processing application leveraging state-of-the-art transformer models (T5 and BART) from HuggingFace to automatically generate concise, accurate summaries of lengthy news articles while simultaneously detecting potential misinformation through sophisticated fake news classification algorithms, implementing Django REST framework for robust API endpoints, utilizing transfer learning and fine-tuning techniques to achieve 92% accuracy in fake news detection, and deploying the solution with SQLite database for efficient article storage and retrieval.

DjangoHuggingFaceT5/BARTSQLite
View Repository

Bank Marketing Analytics

Data Science • Predictive Analytics

Conducted comprehensive data science analysis on a massive dataset of over 40,000 banking customers to build sophisticated predictive models for targeted marketing campaign optimization, performing extensive exploratory data analysis (EDA) with advanced feature engineering, implementing multiple machine learning algorithms including Random Forest, Gradient Boosting, and Logistic Regression with rigorous hyperparameter tuning, achieving 89% prediction accuracy for customer subscription likelihood, and delivering actionable insights through compelling data visualizations with Matplotlib and Seaborn that directly informed strategic marketing decisions and increased campaign ROI by identifying high-value customer segments.

PythonPandasScikit-learnMatplotlib
View Notebook

Technical Skills

Languages

PythonJavaJavaScriptTypeScriptDartHTMLCSSSQLRSolidity

Frameworks & Libraries

DjangoFlaskReact.jsNext.jsNode.jsFlutterTailwind CSSPandasNumPyscikit-learnHuggingFace

Databases

PostgreSQLMongoDBSQLiteSupabaseFirebase

Certifications

Google Data Analytics Professional Certificate

Languages

English • Swahili • Kalenjin