Hire junior Generative AI developers
Generative AI developers looking for their next gig. Juniors to seniors and everyone in between, you'll find them all here.
Passion + Grit + Profession
Specialized in Artificial Intelligence (Computer Vision) Interested in Natural Language Processing, LLM Fullstack Web Development Learning LLMOps and Prompt Engineering
Fullstack / gen AI developer
I worked for 3 years as a Lead fullstack developer in a startup studio where I worked with many startup founders to help them develop their project. I have been working for about a year as CTO in a legal tech startup : Norma. I worked on multiple startup projects. Lately I’ve been passionate about generative AI and the possibilities it offers. I decided to focus on generative ai projects, langchain, ai agents, and everything in between.
CS/Mathematics Grad w/ experience in ML/AI Research/Engineering
New grad looking to for a role with opportunities to solve interesting and complex problems. Strong software engineering, math, and stats skills. Software engineering, machine learning engineering, and research experience. Passionate about language, computer vision, and automation. Most recently created a novel machine translation model utilizing dependency trees as interlingua.
Langchain or llama index, those are just integrations. From fine tuning LLM for specific use case to deploying it as a system and integrating all these tools is all I do these days.
Hello everyone I started my ML journey back in late 2020 when I saw this connection between my high school math topics (like calculus, linear algebra, etc) with how neural networks work. 18-year-old me, started his journey with Andrew Ng's famous deep learning course. My early days were very much focussed on how each part of deep learning works, for example How a neuron works How convolution as an operation works How does backpropagation exactly work, etc I even wrote my first blog on medium describing the nuts and bolts of neural networks and their different types. There was a time in mid 2021, I got to learn about Graph Machine Learning. Being so fascinated, I did the same for Graph ML, like how I did for general ML and deep learning. I even ended up doing a research internship on Graph Variational Autoencoder for recommendation systems. I ended up writing my second research paper. Fast forward, I slowly started to hear this buzzword called "deployment". Initially, I thought of uploading my model file to the cloud. But it was much more than that. Slowly I started to gain knowledge about ML system design and how the backend and ML work in sync. How we can serve our ML apps by creating APIs, dockerizing them, and then deploying them on cloud services. Then I got into Major League Hacking Prep Program and I learned so much about remote work and collaborating with open source. Just after that, I got my industrial internship at a startup called voxela.ai where I learned so much about computer vision and object recognition and how it is deployed on an enterprise basis. I also learned about quantization and how to convert these models into TensorRT for fast serving. Fast forward we saw the rise in Large Language Models after the advent of chatGPT. We are seeing now so many people making tools using that in just one night and things getting viral. I always believed that it was always a bubble. And yes, I was right when I got to learn from experts that it was more about making a long-term, reliable, and efficient product with LLMs. Currently, I am working as a data science engineer intern at CorridorPlatforms. Being very interested in LLMs, I have explored and incorporated the LLM lifecycle, from fine-tuning an LLM with 4-bit quantization to compressing it further to run on a C++ backend and then serving it, doing prompt engineering for better performance, using knowledge bases to provide better context for document Q&A, to doing different LLM evaluation strategies for better and governed LLM systems. This journey has been very beautiful and remarkable for me. I believe that nothing is permanent, we are right now in an era where things are changing very fast. However it's not ONLY LLMs or ONLY Diffusion models, and we can never say classical ML is not gonna stay. Real ML is the balanced combination of everything and it's just putting the correct choice in the right place and attaching the important strings such that everything can work in sync and seamlessly. I look forward to working and helping organizations to apply my learnings and also learning more. Thanks
LangChain | FlowiseAI | ChatGPT | Prompt Engineering |Full Stack Developer
As a skilled and versatile full-stack developer with a strong background in AI and prompt engineering, I am adept at crafting cutting-edge AI-powered applications that deliver innovative solutions to real-world challenges. With a keen understanding of both front-end and back-end development, I bring a holistic approach to building dynamic and intuitive web applications. My proficiency in AI technologies allows me to leverage generative models, Langchain, and FlowiseAI to create intelligent and interactive user experiences. Whether it's designing chatbots that provide personalized responses, implementing recommendation systems, or enabling predictive analytics, I have the expertise to incorporate AI seamlessly into projects.
Software Engineer | Determined, persistent, lifelong-learner
AI & Prompt Engineer
Software Developer, UI/UX Designer and AI Developer
Computer Science student, Freelance Software Engineer, AI Enthusiast and Developer with 4 verified discord bots. Do some Machine Learning stuff aswell. Owner and Head Dev at Openjourney Owner of Project Razer LLC
NLP & CV Developer, Researcher, MLOps Engineer
Hey! I am broadly interested in making the benefits of Artificial Intelligence (AI), specifically Machine Learning (ML), accessible to the most number of people while preventing it from further harming marginalized groups. My overarching project is to use and develop AI technology for positive social and environmental change. Since benefits are not fully enjoyed and applied when it is not understood, I make it a crucial priority to communicate my work to people from different backgrounds through Medium. I am a researcher and developer on Trustworthy AI (Security, Fairness, Interpretability, and Privacy). I have experience working with a government institution (e.g. AI Singapore), healthcare organizations (e.g. Arterys), and the technology industry (e.g. Google Brain).
AI & Prompt Engineer
A dynamic and forward-thinking Full-Stack/AI Solutions Engineer with over 20 years of diverse experience. Passionate about integrating cutting-edge AI technologies with full-stack development to create innovative, customer-focused solutions.