Hire junior Generative AI developers in United States

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.

I am motivated to apply to one of the most groundbreaking industries of our time, to contribute to the efforts of utilizing AI for the betterment of society, and contributing against any potential alignment threat, by any capacity I'm entrusted, to the utmost of my abilities and without compromise. I am driven by the transformative potential of AI and automation, and how they can drive meaningful change. Since February 2023, I have been independently working on https://librechat.ai, an enhanced ChatGPT clone with multi-user login system, multiple AI providers to choose from, and AI agency through plugins, which now has over 1000 stars and 280 forks on github. In May, I shared my progress on reddit of reverse-engineering the ChatGPT plugins functionality before the OpenAI functions were released, and before many chat interfaces employed similar techniques. I was able to use the OpenAI API for agency of the AI with tools through LibreChat, inter-weaving into AI conversations the use of text-to-image generation with DALL-E and stable diffusion, as well as use of Wolfram, search engines, and web-scraping, as selected by the user. The post received over 100 upvotes and 20,000 views: https://www.reddit.com/r/GPT3/comments/13ggcv5/reverseengineeringchatgpt_plugins/. Since then, I've expanded the same reverse engineering through OpenAI functions. I have working proof-of-concepts in both python and JavaScript that mimic ChatGPT's handling of OpenAPI specs, and as well as for utilizing vector retrieval for expanded/improved context through documents. As I've already shared the Clone project, I would like to share my quick MVP of a python FastAPI that serves some of these functionalities: https://github.com/danny-avila/ai-services. As a scheduling manager who has learned to program, I have been able to create my own tools. I've developed automatic assignment and balancing tools, which I shared a video of on LinkedIn, showing over 400 real shifts for a single pay period being automated and balanced within a few minutes. This task would take me hours if not days with my previous tools and paid software solution. Due to the pricing and limitations of scheduling in the current SaaS market, I was inspired to take on this task, as my previous pre-planning and analysis methods had reached their limits. My goal is to provide a user-friendly interface for the next manager and make the backend even more flexible and robust. I'm currently studying machine learning and linear programming to advance optimization. You can see the video I shared here: https://www.linkedin.com/posts/danny-avilaprogramming-automation-scheduling-activity-7036836068393906176-TKCC?utmsource=share&utmmedium=memberdesktop. I documented my progress, from beginning to end, on designing and scaling a legacy API into micro-services, serving up to 1000 requests per second, with less than 20 ms response time per request, and 0% error rates at this throughput under realistic test scenarios: https://gist.github.com/danny-avila/1387fef054da77737e1ce4d04172afe4. To achieve this, I utilized Postgres, express, NGINX, Redis, AWS EC2 instances, along with Pandas and NumPy for the ETL process of the legacy data. I made sure to index my data, and craft my schema and queries carefully for performance, flexibility and maintainability. I also ran stress tests with loader.io, as well as with the k6 suite, to measure performance along the way. I'm hoping to be considered by the merit of my independent open-source work and learning, and how I've helped people use AI tools effectively, in many capacities. At my current employment, I was able to automate much of my workflow, which involves managing a schedule of over 300 people, has helped our operations immensely. This kind of work, that multiplies exponentially in value as people engage with or even indirectly benefit from created tools, is incredibly fulfilling for me, even when I don't receive any kind of compensation or recognition for it.

I'm an entry-level Python programmer and AI engineer who's incredibly passionate about what I do. My brother suggested I'd excel in this field, and while I was skeptical at first, once I started tinkering with AI models, it was like the sky had opened up and my head finally cleared. I didn't have to puzzle it all out by myself anymore. Hooked immediately and wanting to do more, I completed the AI Engineering Bootcamp on Udemy, taught by the brilliant minds of Michael Taylor and James Phoenix. My Python studies were moving at a snail's pace until I discovered the magic of AI. It helped me break down complex code, interpret it, and do more with it in the last 12 days than I have been able to do in the last 12 months. But I'm not just an Engineer. I've been creating Art since I was 5, and not just macaroni pictures. With a background in digital and fine art, I bring a unique perspective to the table. My in-depth knowledge of art history and techniques helps me collaborate with AI image-generating models in a way that brings out the best in both worlds. I take those hazy ideas and add an artistic twist, so the AI creates exactly what we're envisioning. My ultimate goal has always been to become a game developer, and with AI, the resources I need to do that have been cut down to a fraction of the size. I truly believe it's one of the most powerful tools in the gaming realm, and I can't wait to dive in and craft some impactful experiences. If you're on the lookout for a Python programmer and AI Prompt engineer who's enthusiastic and loves merging technology with creativity, send me a message. If you want to check out the work I have made, both with and without AI, check out my Website and Artstation respectively, linked on my profile.

Hi there! My name’s Fawaz and I'm a junior machine learning (ML) engineer. As a recent graduate with a degree in Computer Science and a passion for data science, I have gained hands-on experience in building ML models and working with large datasets. My technical skills include proficiency in Python programming, data preprocessing, and implementing various ML algorithms such as regression, classification, and clustering. Additionally, I have experience with popular ML libraries such as Scikit-learn, Tensorflow, and Keras. I am a self-motivated individual with strong problem-solving skills and a desire to learn and grow in the field of ML. I am excited to bring my skills to a dynamic and innovative team, where I can collaborate with others to develop cutting-edge ML solutions. Please feel free to contact me for any exciting ML opportunities!