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Welcome to my GitHub Portfolio!

I am Aditya Mishra, a Software Development Engineer, driven by a fervor for Artificial Intelligence and innovative problem-solving. My primary focus revolves around tailoring bespoke AI agents, streamlining workflows through automation, and constructing scalable cloud-based Software as a Service (SaaS) applications. Please delve into my repositories to witness firsthand how I'm pushing the boundaries of technology.

Areas of Expertise

My core competencies encompass the development of AI solutions using tools such as Langchain, Llamaindex, TensorFlow, PyTorch, and HuggingFace Transformers. Additionally, I have a profound understanding of Natural Language Processing (NLP) techniques. On the other end of the spectrum, I possess proficiency in full-stack development, encompassing frontend technologies like ReactJs and Angular, as well as backend technologies such as NodeJs, ExpressJs, NestJs, FastAPI, and Flask. For database management, I work with PostgreSql and MySQL for relational databases and MongoDB for non-relational databases.

Get in Touch

I wholeheartedly welcome collaboration to embark on extraordinary ventures. Please don't hesitate to contact me via email or connect with me on LinkedIn. Let's create something remarkable together!

Aditya Mishra's Projects

alice_ai_client icon alice_ai_client

Alice Client is a React-based web application that provides a user interface for interacting with the Alice chatbot. It allows users to log in and engage in conversations with the chatbot, as well as make various API calls.

alice_ai_server icon alice_ai_server

Alice Server is a Python application that serves as the backend for an AI-powered chatbot and conversation handling system. It leverages the power of OpenAI's GPT-3 to generate human-like responses in various contexts.

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

botmagnet icon botmagnet

BotMagnet is an innovative chatbot builder designed to enhance user experiences on product documentation and support websites. Powered by advanced AI technology, it's the ideal solution for businesses of all sizes, offering scalability and efficiency.

discord-server-manager icon discord-server-manager

A robust management dashboard designed to oversee numerous Discord servers, meticulously crafted using the power of React and Electron JS.

discord_leads_bucket icon discord_leads_bucket

This is a Discord bot project that uses Express.js for the API and MongoDB for data storage. It's designed to collect and manage messages from Discord servers, allowing users to search and retrieve messages from specific channels and members.

flask_chatapp icon flask_chatapp

A Flask-based web application with real-time chat functionality using Socket.IO and MongoDB Atlas for data storage. Users can register, log in, and communicate with each other through real-time chat messages. Features include user authentication, chat history retrieval, and a friend recommendation system.

generative-question-answering-with-haystack icon generative-question-answering-with-haystack

Perform advanced Generative Question Answering using the Haystack library in Google Colab. Answer questions using a combination of Dense Passage Retrieval and Seq2Seq Generation, making it perfect for information retrieval tasks.

intelligent-document-search-and-question-answering-with-langchain icon intelligent-document-search-and-question-answering-with-langchain

This repository features a Google Colab Jupyter Notebook that simplifies intelligent document search and question answering. Leveraging LangChain and OpenAI models, it effortlessly extracts text from PDFs, indexes them, and provides precise answers to user queries from the document collection.

langchain icon langchain

⚡ Building applications with LLMs through composability ⚡

large-language-model-llm-wrapper-from-scratch-using-openai-models icon large-language-model-llm-wrapper-from-scratch-using-openai-models

The LLM (Language Model) Wrapper is a versatile tool designed to interact with OpenAI's language models. It provides a higher-level interface to handle conversation-based interactions and text completions. The wrapper is developed using Python and integrates OpenAI's APIs for both chat-based models and text completion models.

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