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Building Bytes Base
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Building Bytes Base

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YUGESHKARAN/README.md

Hi, I'm Yugesh 👋

Full Stack AI Engineer with expertise in designing and developing software, Generative AI products (Retrieval-Augmented Generation systems), and application-specific agentic copilots.

What I Build

  • Distributed Full-Stack AI Applications: Scalable, service-oriented end-to-end AI SaaS products.
  • GenAI Workflows: RAG pipelines, LLM driven systems, and domain specific AI copilots with embedding models, vector databases, and prompt orchestration.

Language and Tools

                       

Current Projects

Tech Terminal — AI assisted Tech Community platform for universities/colleges.

Tech Terminal — Upload, ask, and understand advanced research papers in your own indic language.

Assistant Knowledge Hub — A production grade RAG system built for the Bytes Base platform.

DraftMate AI — Co-worker for the Bytes Base platform to refine post content into a standardized Markdown format.

Past Works

Mini Language Model — An AI copilot designed to automate and simplify CRUD operations for a product management platform.

Mini Language Model — Designed for NLP tasks related to CoC heroes, defenses, and troops.

Mentor Consulting Crew — Crew AI to build comprehensive learning paths for any course from beginner to advanced level.

ams-attendance-management-system — Simplifying faculty workflows, smart analytics and real-time student insights.

GitHub Stats


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  1. LangSmith-Experiment LangSmith-Experiment Public

    A research benchmark evaluating LLM performance across MySQL and MongoDB RAG systems using LangSmith, with metrics for accuracy, correctness, error rate, and latency.

    1

  2. indic_research_scholar indic_research_scholar Public

    The Shorts Studio turns a script into an editable explainer with generated scenes, narration, and a downloadable video with synchronized audio.

    JavaScript 1

  3. Assistant_Knowledge_Hub Assistant_Knowledge_Hub Public

    A production grade AI assistant built for a Tech-Community platform. This project implements a Retrieval-Augmented Generation (RAG) architecture supported through AGUI and A2UI protocols.

    Python 2

  4. DraftMate-AI DraftMate-AI Public

    Content co-worker @BytesBase.tech platform, designed to refine post content into a standardized Markdown format.

    Python 1