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Focusing
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Focusing
18 followers · 24 following

Achievements

Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

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Kashyab19/README.md

Intro

Hi,

When I'm not coding, you'll find me writing blogs on Substack about things I find curious, or doing Deep Research using LLMs to learn about a topic in finance, system design, or a random subject.

Recent building

  1. Semantic Cuts (WIP) - A Search Engine for your videos - E.g., Where does Lex talk about aliens?
  2. Cache Flow - Cache all your responses from the LLM to prevent burning a hole in your pockets - Built using Qdrant

Past works

  1. Founding Engineer @ Tradible - At Tradible, I was responsible for building the onchain components of the NFT Marketplace and bridging the gap between web2 and web3 (tl;dr: I did full-stack and blockchain)
  2. Software Engineer @ Verizon - I was responsible for building the Billing Service to cater to nearly 140M customers (Stack: Spring Boot, Kibana, AWS S3)
  3. Founding Engineer @ Easy Summaries - Designed and built an AI-powered Chrome Extension to summarize web articles in one click (Stack: JavaScript, Node JS, DynamoDB)

Links

Kashyab's Personal Website

Updated on December 2025

Pinned Loading

  1. litellm-fork litellm-fork Public

    Forked from BerriAI/litellm

    Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]

    Python

  2. cross-border-payments cross-border-payments Public

    A simple cros border payment API

    TypeScript

  3. google-calendar-mcp-server google-calendar-mcp-server Public

    TypeScript

  4. spice spice Public

    TypeScript

  5. cache-flow cache-flow Public

    Inference is costly today. Now, you can cache all your prompts and responses to save your LLM bills.

    Python

  6. semantic-cuts semantic-cuts Public

    Search for a clipping in your videos using just a prompt (E.g., Where did Lex talk about aliens?). Building using CLIP by OpenAI, Redpanda and Qdrant DB

    Python