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Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2

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Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull Sharkx2

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@uclaacm @Lavendor-App

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utk7arsh/README.md

Utkarsh Lal

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Hello world! 

About

  • Current Masters in Computer Science student at University of Pennsylvania
  • Undergraduate Computer Science graduate from University of California, Los Angeles

🌱 Clubs and Leadership -

🧐 Research

  • Graduate Research Assistant at TrustML, working on my dream inter-discipline of AI i.e. Robotics. Will have some updates rolling out soon.
  • Undergraduate Student Researcher at Scalable Analytics Institute lab where I worked on CV projects like trying to improve glaucoma detection through contrastive learning, fine tuning SAM models to improve segmentation and exploring knowledge transfer in other vision models. See my paper contribution on information extraction and text systhesis generation here
  • Former research assistant at Amazon Science and Peng's Language Understanding & Synthesis Lab working on computational humor in LLMs
  • Former research assistant at the Brain and AI lab at UCLA (The Roychowdhury Group) where I learnt what does ML research mean

💼 Work experience

  • Incoming ML Infra Intern at Nuro working on the Data Platform Team
  • Data Science Intern at Price.com building data pipelines to streamline consistern keyword extraction and handle users personas based on their engagement/shopping activity.
  • AI Engineering Intern at GumGum, working on their first generative AI tools to handle internal Jira capitalization and DSPy fine-tuning.
  • Software and ML Engineering Intern at Actuals building SaaS products for small business buyers to cut down the acquisition process.
  • Previously full stack SWE Intern at NutriTap Technologies working on their patented vending machines, B2B portal, and microservices
  • Previously backend SWE intern at Pullscription, working on their web tools, APIs, and testing

Other things I do

  • 🔭 Learning everyday about new tech, AI models, and open-source works.
  • 🪙 I enjoy reading about personal investments and mutual funds
  • Currently Learning MLOps
  • Talk to me about ⚽🎾♟️🏏

Technical Skills

Programming Languages:

Python JavaScript TypeScript C++ C PHP Java SQL

Backend, Frontend and Database Technologies:

Node.JS Express REACT Spring MongoDB MySQL PostgreSQL CockroachDB HTML CSS

AI & Machine Learning:

Python PyTorch TensorFlow scikit-learn Pandas NumPy Hugging Face MLflow DVC OpenCV

Internet Of Things:

RaspberryPi Arduino

Version Control & Productivity:

Git GitHub Jira

Software:

Notion Slack Discord Postman SolidWorks

Pinned Loading

  1. video-RAG video-RAG Public

    A multimodel rag built for video search using Bridge tower, LanceDB, and LLava

    TypeScript 7

  2. Seamless Seamless Public

    Seamless turns streaming content into shoppable moments through non-disruptive brand placements

    TypeScript 3

  3. Open-Fiesta Open-Fiesta Public

    Forked from NiladriHazra/Open-Fiesta

    An open-source version of Dhruv Rathee's AI startup. Even with more models :)

    TypeScript 2

  4. CTR-prediction-with-neural-recommendation-systems CTR-prediction-with-neural-recommendation-systems Public

    Click-Through Rate Prediction with Neural Recommender Systems

    Jupyter Notebook

  5. kale kale Public

    Forked from Harshith996/kale-hoth-2023

    Dart

  6. mathscribe mathscribe Public

    Forked from Harshith996/mathscribe

    Submission to LA Hacks 2023 for Home Room

    C++