Experience

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  Key food stores co-operative inc.

  Jun 2018 - Aug 2018

  Stock clerk
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  The wendy's company

  Dec 2019 - Jul 2020

  Crew member
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  Robomindtech

  Jul 2021 - Aug 2022

  Stem teacher

  I provided guidance for students to develop an understanding and an interest in LEGO machines and Scratch programming between 2 and 10 years old, both inside the RoboMindTech center, NYC DOE Schools in Forest Hills, and Playhouse NYC. I taught and made lesson plans for multiple levels and types of classes offered by our program, including Scratch, LEGO WeDo, LEGO Duplo, etc.

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  Codeadvantage

  Sept 2022 - now

  Stem lead coding instructor

  I provide guidance to classes of over 20 students, fostering an understanding and interest in coding and programming for children aged 4 to 10 at several highly acclaimed private and charter schools in the NYC area, including The Buckley School, St. David's School, Dwight School, Town School Inc, Ethical Culture Fieldston School, and Packer Collegiate Institute.I have taught classes in Minecraft Code with Javascript and Blocks, Scratch, Python, and Lego Spike. Additionally, I have created lesson plans for various levels and types of classes, including AI/Machine Learning in Scratch for middle school students and a variety of themed Minecraft Code curricula using Javascript and Blocks. Show less

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  Code for all qc

  Jan 2023 - now

  Co-founder and vice president
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  Break through tech

  May 2023 - Apr 2024

  Ai\ml fellow @ cornell tech

  I was selected from 1500+ applicants for a 12 month AI Program at Cornell Tech, including ML coursework, experiential learning experiences, and mentorship from industry professionals. While this gives me assistance for internship opportunities, BTT aims at facilitating a successful launch into my ML or AI career.

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  Candogram inc.

  Aug 2023 - Dec 2023

  Ai studio project

  As part of the Break Through Tech program, I worked with Candogram during Fall 2023 on a project that helps make job search easier for students. The dataset being looked at by my team are all jobs related to "engineer", where our task by the end of the Fall 2023 semester, leveraging the CRISP-DM outline, was to have clusters of jobs with new and improved job titles, instead of the multitude of ambiguous and rare job titles that exist. This directly helps Candogram’s business goals of looking at job titles and being able to extract important information about the job just from the job title to analyze further.To see more details about my role in this project, check out the post in my featured section starting with "Excited to share my part of the presentation...!" Show less

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  Tech incubator at queens college (tiqc)

  Oct 2023 - Mar 2024

  Software engineer intern

  I helped implement AI into a chatbot using OpenAI's API and Flask, transforming static responses into dynamic responses specifically about the Tech Incubator. By fine-tuning the OpenAI model with FAQ data and website information through prompt engineering, I optimized the user experience for the 19,000+ students at Queens College. To ensure the chatbot functioned properly and to maintain its performance over time, I implemented an SQL backend to store user-message interactions and log error messages, with future plans to migrate the database to the cloud. Show less

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  Nyc node

  Apr 2024 - now

  Blockchain data engineer associate

  I am currently working on a FAISS (Facebook AI Similarity Search) Application aimed at quickly indexing and finding answers to questions about Solidity code documentation. We hope this process can eventually be applied to other programming languages.I successfully completed a project in Spring 2024 that focused on the development and optimization of machine learning models for blockchain data classification. Leveraging my expertise in Python and various data science libraries, I spearheaded the design and implementation of solutions that significantly improved the predictive accuracy of blockchain data analysis. I launched the development of Logistic Regression models to classify blockchain data, meticulously benchmarking performance metrics across raw data, raw embeddings using OpenAI API, and compressed embeddings using PCA. Additionally, I enhanced predictive accuracy for distinguishing between public and private crypto wallet keys, achieving an accuracy rate exceeding 90%. I engineered batching, preprocessing, and randomization methods for large datasets of over 400,000 crypto wallet keys, significantly improving model training robustness. My comprehensive research on embedding techniques for data compression optimized the efficiency and scalability of data processing pipelines within the blockchain infrastructure. Collaborating with team members, I designed secure and efficient blockchain infrastructure and protocols, ensuring the seamless integration of new technologies. Furthermore, I documented development processes, best practices, and experimental results, contributing to the team’s knowledge base and facilitating future project replication and enhancement. Show less