Hi there, I am Atharva Kamble, an experienced software engineer currently pursuing a Masters degree in Computer Software Engineering from Northeastern University, Boston. 👋
I am a tech enthusiast, and mainly a software generalist - because of my fundamental understanding of tech and programming, it helps me to learn new frameworks and build higher-level knowledge very quickly. In my free time, I like to build meaningful projects that try to fulfill a use case.
Open to SDE roles across the US starting May '25.
As of now I work as a Teaching Assistant for Prof. Nik Brown at
Northeastern University - where I assist him for CSYE 7270 - Building Virtual Environments
(LLMs, Chatbots, C++, C#)
- Software Development Engineer
- Software Engineer
- Fullstack Engineer
- Data Engineer
- Frontend Engineer
- Backend Engineer
Boston MA, the home of the Red Sox! I am available for remote or hybrid WFH, and have valid
permissions to WFO anywhere in the US though.
I specialize in building end-to-end web products with React.js, Next.js, Typescript, GoLang, Java,
Python, AWS, PostgreSQL, MongoDB, Vercel, Git, Unix, Neovim.
Huge shoutout to Prof. Nick Bear Brown at Northeastern University, who got me so interested
in Prompt Engineering & AI - this stretched to engineering prompts to generate other prompts, images,
videos and songs even! I like pursuing prompt engineering in my leisure time because it allows me to
access the new age of GPT chatbots with more and more efficiency.
model0
A full-stack application enabling rapid creation, fine-tuning, and deployment of large language models (LLMs)
using AWS SageMaker. Utilized Python, MySQL, React.js, and AWS EC2 to deliver a high-performance, scalable infrastructure.
The objective of the project was that, I noticed that there was a need amongst developers who wanted to deploy AI chatbots,
and ML models ASAP. But such tools were not readily available.
I am currently working on Model0 - which is a platform as a service that leverages AWS SageMaker to
allow users to build, train and fine-tune their own ML, and GPT models. The platform also aims on
providing users with API interface to use pre-trained versions of their models into their own apps.
A very good use-case: train and fine-tune the weights of a LLM or SLM on Model0, deploy it and then
communicate to it with a dedicate custom or templated API. For eg. a customer help chatbot.
I am using Next.js on the frontend and GoLang on the backend along with Terraform's Cloud Development
Kit to manage AWS infrastructure.
Yes! Visit https://athk.dev
I am super excited to hear from you so we can grow our network! Feel free to
reach me at kamble [dot] ath [at] northeastern [dot] edu OR my personal mail ath [dot] neue [at] gmail [dot] com
Yes! I do like to write about technologies, my current progress and findings on Medium and on my site!
My site: blog.athk.dev
Find me on Medium: medium.com/@atharvadkamble00
Feel free to browse through my projects and take a look at my code. If you want to hire me, feel free to reach out to me.