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Achievements

Achievement: Pull SharkAchievement: Quickdraw

Achievements

Achievement: Pull SharkAchievement: Quickdraw

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@openlocus

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tirthhvora/README.md

Hello 👋, I'm Tirth

I've primarily worked on ML research, creating AI Agentic systems and robust flask backends!

  • 🔭 I’m currently working at OpenLocus.ai and working on DiscoveryBench - A benchmark for evaluating LLMs and Agentic systems where on given a set of hypotheses, a high-level workflow and a real-world dataset, how well does the system explore and generate new insights?

  • 🔭 I have worked in the ML engineering team and performed 200+ experiments on generating insights using a multi-agent framework like Autogen and have been acknowledged in the paper on Data-driven discovery using LGMs published at the International Conference of Machine Learning (ICML).

  • 🌱 I’m currently learning Spring Boot, Flask.

  • 🖥️I have participated in multiple hackathons and have created projects like Attornify, Transverse etc.

  • 💬 Ask me about AutoGen multi-agent framework, Data-driven discovery using LLMs, RAG and Backend System Design

  • 📫 You can can reach me at vora.tirth09@gmail.com

  • ⚡ Fun fact I learn very fast and come up with very unique perspectives on solving problems!

Connect with me:

tiirthvora tiirthvora tirthvoraa tirthhvora tirthvora

Languages and Tools:

aws c docker flask java kafka kubernetes mysql pandas python scikit_learn spring

tirthhvora

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  1. Data_Extraction_and_NLP Data_Extraction_and_NLP Public

    Automated scraping article text from 100 URLs along with sentiment and readability analysis in each

    Python 1

  2. MLOps MLOps Public

    Jupyter Notebook 1

  3. Attornify Attornify Public

    Jupyter Notebook 1

  4. Ettarra-Sales-Analysis-and-Backend Ettarra-Sales-Analysis-and-Backend Public

    I created this backend in a hackathon where I performed exhaustive analysis of a coffee-chain, and created a backend for sending visualization data to the frontend

  5. Laptop_Price_Prediction Laptop_Price_Prediction Public

    Jupyter Notebook

  6. Regression-with-Deployment Regression-with-Deployment Public

    I've made this complete end-to-end project with the aim of learning how to deploy a machine learning model. Here I pre-processed, explored and statistically examined the Boston_house_price dataset …

    Jupyter Notebook