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Learning....
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Learning....
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Achievement: YOLOAchievement: Pull Sharkx2

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namanlalitnyu/README.md

Hello, folks!

😊 I am Naman Lalit, currently working at Meta, part of the LLM Inference team in the Meta Superintelligence Lab.
💬 I am a graduate with a Master's in Computer Science degree from New York University Courant.
🔭 I have about 2+ years of work experience as a Software Engineer at Salesforce, Naukri.com, and CRED.

You can find me here

Github LinkedIn Email

Get to know me more

Portfolio: https://namanlalitnyu.github.io

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  1. vllm-project/vllm vllm-project/vllm Public

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Python 59.6k 10.6k

  2. ticker-teller ticker-teller Public

    Forked from VaranRohila/ticker-teller

    Stock Prediction Tool built using LLM generated News Articles sentiments and LSTM forecasting model.

    Jupyter Notebook 8 2

  3. Stock.ai Stock.ai Public

    Retrieval Augmented Generation (RAG) application for recommending stock prediction research articles using Generative AI, Vector Embeddings, and Prompt Engineering, deployed on GCP's Virtual Machine.

    TypeScript 2 3

  4. pytorch/pytorch-integration-testing pytorch/pytorch-integration-testing Public

    Testing downstream libraries using pytorch release candidates

    Makefile 12 19

  5. Rust-and-OpenMP-Qualitative-Analysis Rust-and-OpenMP-Qualitative-Analysis Public

    Qualitative Analysis of OpenMP and Rust for Parallelizing Benchmark Programs on metrics like Programmability, Scalability, RunTime Overhead, and Speedup

    Makefile 1

  6. Stock-Sentiment-Causality Stock-Sentiment-Causality Public

    Financial Sentiment Influence Analysis: Unveiling Stock Movements through Granger Causality

    Jupyter Notebook 1