Skip to content
View Hk669's full-sized avatar
🔓
braining
🔓
braining

Organizations

@hackclub @MSCHyderabad @AdvantageCommunity

Block or report Hk669

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Hk669/README.md

Technologies and Frameworks I've worked with:

REST JavaScript Go mongoDB Nginx AWS


  • 🔭 Passionate about AI Agents and currently developing innovative AI applications.
  • 👨‍💻 Maintainer at AutoGen.
  • 📝 I share my thoughts and experiences through my blog here.
  • ⚡️ Fun fact: When I'm not immersed in coding, you’ll find me on the football field, indulging in the beautiful game and staying active. ⚽

Connect with me here:

Hrushikesh Dokala | Linkedin Hrushikesh Dokala | Gmail Hrushikesh Dokala | X Hrushikesh Dokala | Instagram


Pinned Loading

  1. Open-Source-Recommender Open-Source-Recommender Public

    Gitmatch - personalized recommendation system, that recommends open-source repositories based on your skills, topics and languages from your GitHub

    Python 4

  2. microsoft/autogen microsoft/autogen Public

    A programming framework for agentic AI 🤖

    Jupyter Notebook 32.6k 4.8k

  3. bpetokenizer bpetokenizer Public

    (py package) train your own tokenizer based on BPE algorithm for the LLMs (supports the regex pattern and special tokens)

    Jupyter Notebook 3 1

  4. course-recommendation-system course-recommendation-system Public

    Course Recommender System, powered by Flask, delivers tailored course suggestions based on user interests. Using content-based filtering and MongoDB integration

    Python 7

  5. AutoGen-Llama3.2-Vision AutoGen-Llama3.2-Vision Public

    demonstrates how to use Llama 3.2 models, specifically the 11B Instruct v1 version with AutoGen and OCR, through AWS Bedrock.

    Python 3

  6. goods-rickshaw goods-rickshaw Public

    highly scalable logistics platform that allows users to book transportation services for moving goods with Django

    Python