Vedant Agarwal

@Vedant-Agarwal · User

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Senior ML Infrastructure Engineer · distributed systems, streaming, LLM serving & agent evals · merged PRs in PEFT, LiteLLM, MLflow, Feast, Haystack

San Francisco Bay Area5 followers33 repositories

Repositories

Vedant-Agarwal/trl

Train transformer language models with reinforcement learning.

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Vedant-Agarwal/datasets

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

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Vedant-Agarwal/haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

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Vedant-Agarwal/harbor

Harbor is a framework for running agent evaluations and creating and using RL environments.

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Vedant-Agarwal/airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

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Vedant-Agarwal/litellm

Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]

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Vedant-Agarwal/vllm

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

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Vedant-Agarwal/mlflow

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

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Vedant-Agarwal/nn-from-first-principles

A complete, from-first-principles walkthrough of neural networks — from a single neuron to a working Transformer — implemented across 11 hands-on Google Colab notebooks.

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