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Sweekrit-B/ReadMe.md

💫 About Me:

I'm currently DS spec. ML/AI major at UCSD, with minors in Math and Business Economics.

I have a strong foundation in backend engineering, applied AI systems, and cross-disciplinary research. I bring a unique blend of technical rigor and creative problem-solving to fast-paced environments, having led and contributed to mission-critical projects across healthcare, AI startups, and robotics. Whether architecting backend infrastructure or developing real-world ML solutions, I thrive in roles that demand adaptability, ownership, and cross-functional collaboration. I'm deeply motivated by building impactful systems and continuously seek opportunities to bridge complex technology with meaningful user outcomes.

My current roles:
🦷 Software Engineer @ Doe (YC S25)
🦁 Backend Developer Intern @ Lion Street
🧠Bioengineering Intern @ UCSD Shu Chien-Gene Lay Dept. of Bioengineering, Cauwenberghs Laboratory
🛰️ Lead Software Engineer @ Yonder Dynamics (University Rover Competition)
🏆 VP of Special Projects & Summer Director @ Fremont Debate Academy

My previous roles:
🚵 Software Developer @ UCSD Health/TSE
💻 AI Systems Developer @ Voicebotics AI<br
🧬 Bioinformatics Intern @ UCSD School of Medicine, Rana Laboratory
📦 Project Manager and SWE Consultant @ KlonIT AI/TCG
📈 Data Science Consultant @ Out of the Blue/TCG
📜 Research Intern @ Notre Dame Keough School of Global Affairs
🔬 Machine Learning-Drug Discovery Project Lead @ ASDRP
⚗️ Senior Student Researcher @ ASDRP Machine-Learning Drug Discovery Group
🖥️ AI Ambassador & Researcher @ Inspirit AI
🏫 Curriculum Development Intern @ TheOpenCode Foundation
🥋 Taekwondo Instructor @ Choi's Martial Arts

My projects:
🦠 Epidemiology Network Simulator @ Buildspace S5
🩺 Medical Aid & Pill Tracking Agentic AI Web App @ CalHacks AI 2025
💵 Hierarchal Club Finance Tracking App @ LA Hacks 2025
📄 Machine Learning Paper Recommender
✈️ Airline Customer Satisfaction Predictor @ Triton Consulting Group
🧫 Bioinformatics Algorithms @ Peking University Coursera MOOC
📖 To Do List Application @ Triton Software Engineering
📅 Android Calendar Application
☁️ Weather Prediction Algorithm @ Xylem Water Challenge
🐇 Pokédex Discord Bot

💻 Tools:

Languages

C++ CSS3 HTML5 Java JavaScript Kotlin LaTeX Markdown PowerShell Python TypeScript R

Hosting/SaaS

Google Cloud Render Vercel Firebase

Frameworks, Platforms, and Libraries

Anaconda Express.js Next JS NodeJS Nodemon ROS React React Native React Hook Form Redux Streamlit

Databases/ORM

Firebase MongoDB Postgres MySQL Canva

Design

Figma Adobe Creative Cloud Adobe Premiere Pro

Machine Learning/Data Science

Keras Matplotlib NumPy Pandas Plotly scikit-learn Scipy TensorFlow

Other Tools

Git GitHub GitLab Mosquitto Prettier Raspberry Pi

stats graph languages graph

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  1. epidemicsio epidemicsio Public

    Epidemics.io, a web app simulating the spread of disease.

    Python 2

  2. flodro flodro Public

    Xylem Innovation Challenge - by 4 Guys N Da Ocean

    Python 1

  3. relatingsepwithcovid19prevalence relatingsepwithcovid19prevalence Public

    ASDRP McMahan Fall 2021 - Big Data Group

    Python 1 2

  4. Airline-Predictions Airline-Predictions Public

    Python

  5. bioinfo-algos bioinfo-algos Public

    A simplified Needleman-Wunsch algorithm for determining the similarity between two randomly generated nucleotide sequences.

    Python

  6. Calendar-Test Calendar-Test Public

    Kotlin