Software Engineering, IT Technologies

AKASH HONGAL

New York, NY

+1-917-***-**** ************@*****.*** linkedin.com/in/akash-hongal-626995233/ https://github.com/akash-22-ak https://personal-portfolio-landing-page-tau.vercel.app/

Education

Stony Brook University Aug 2023 - May 2026

Bachelor of Science in Computer Science: Sophomore, U3 Standing Stony Brook, NY

•Coursework: CSE 214 Data Structures and Algorithms, CSE 215: Introduction to Mathematical Reasoning, AMS 210: Applied Linear Algebra, CSE 216: Programming Abstractions, CSE 220: Systems Fundamentals I, AMS 301: Finite Mathematics Structures

Technical Experiences

Headstarter AI Jul 2024 - Present

Software Engineering Fellow New York, NY

•Built AI apps and APIs using Next.JS, Open AI, React, StripeAPI, with the goal of 1000 registered users or $1000 in revenue

•Developed projects from design to deployment, leading 3 other engineering fellows

•Coached by Amazon, Bloomberg, and Capital One Engineers on Agile, CI/CD, Git, and microservice patterns

Outlier AI Jul 2024 - Present

AI Writing Evaluator Virtual

•At Outlier AI, I am responsible for testing, refining, and analyzing the performance of advanced AI models

•My work involves evaluating the quality and accuracy of AI-generated code, providing detailed feedback, and assessing the model's problem solving capabilities

•Additionally, I develop and implement robust test cases to ensure the efficiency and effectiveness of AI outputs, contributing to the continuous improvement and training of cutting-edge generative AI technologies.

QubitxQubit Sep 2021 - Apr 2022

Program Contributor New York, NY

•Utilized IBM Quantum to run Quantum Circuits by sending queries to a supercomputer through IBM’s website

•Presented a Quantum Machine Learning slideshow about the future of Machine Learning in the Quantum field to a panel of 2000+ attendees

Projects

New York, NY

NYC Home Preference Predictor

•Created a Machine Learning model using real-world data from 20+ people to predict an individual's home preference based on their age and income

•Used Pandas to analyze the dataset (csv file) and train, test, and split the data and used a DecisionTreeClassifier to fit the model with the trained x and y values and predict the likely home preference of a new individual with a given age and income based on past data

•https://colab.research.google.com/drive/1DVuwzFgYvbXDeHFr_r_63wtTybDlJi7Y?usp=sharing

Personal Portfolio Website

•Developed an engaging portfolio website using HTML, CSS, and TypeScript, showcasing my skills in Frontend Development

•https://personal-portfolio-landing-page-tau.vercel.app/

Hotel Management System

•Built a Hotel Management System using MySQL Workbench, Java AWT, and Swing

•Learned and implemented buttons and techniques to login and logout of the application using MySQL Workbench, as well as select rooms, select drivers from the customer side and add employees and their salaries on the admin side of the application

Skills

•Programming Languages: Java, HTML/CSS, TypeScript, Python, Qiskit, Max/MSP, C, HTML

•IDE and Tools: Visual Studio Code, Git, GitHub, HTML5 UP, Vercel, Node.js, Next.js, React, IBM Quantum Computing

Extracurricular Activities and Awards

-JP Morgan Chase SWE Virtual Internship May 2024 - June 2024

•Set up a local dev environment by downloading necessary files, tools, and dependencies

•Fixed broken files in the repository to make web application output correctly

•Used JPMorgan Chase's open source library called Perspective to generate a live graph that displays a data feed in a clear and visually appealing way for traders to monitor

-Recipient of the David N. Dinkins Award for Exemplary Leadership Abilities

•Received a full scholarship to train at the Chris Evert Tennis Academy in Florida

-Won 25+ trophies as a Tennis player playing Regional and National Tournaments in the United States

-Volunteered as the Assistant Coach of the Lacoste Junior Tennis Academy April 2021 - July 2022

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