Hire junior Generative AI developers

I'm a senior software engineer with 12 years of experience in building web and mobile apps. Whether you're trying to build new project from scratch or add new features into existing project, I can turn your idea into stunning result. Mastered JavaScript | TypeScript | PHP | Python | JSON | jQuery, etc. basic programming languages Proficient in modern technical stacks including Next.js, Nest, Svelte, Django, Flask, Laravel Familiar with other Unit Test frameworks like Jest, Mocha, Cypress, Puppeteer, etc. Proven experience in DB management for both NoSQL (MongoDB, DynamoDB) and SQL (MySQL, PostgreSQL) Excellent in Cloud services like AWS (EC2, S3, Lambda, Cloudfront, Cloud watch, API Gateway, Cognito, SES, CodeCommit, CodePipeline, etc. ), GCP, Firebase for CI/CD, Hosting Flexible working timezone Good communication skills & team work

As a seasoned Machine Learning Engineer with over 5 years of industry experience, I’ve had the privilege of contributing my expertise to some remarkable companies, including Triumph Technology LLC, LucidAct, ScribeEMR, 7Cups, and Zetane. My passion lies at the intersection of machine learning and Python programming, where I thrive on tackling complex challenges and driving innovation. Beyond my professional endeavors, I am deeply committed to sharing my knowledge and experiences with others in the field. I firmly believe in the philosophy of continuous improvement, striving to grow by 1% each day in both my technical skills and personal development.

As a seasoned developer with a passion for innovation and a drive for excellence, I bring a unique blend of skills and experiences to the table. My journey in the world of development began with a Bachelor's degree in Computer Information Systems from Westfield University where I laid the foundation for my career in technology. Since then, I have embarked on a continuous quest for learning and growth, recently in the area of AI/ML. I am constantly seeking out new challenges and opportunities to expand my expertise. One recent milestone that stands out in my career is becoming a Google Cloud Certified Cloud Data Architect, adding to my existing AWS certifications. This achievement not only validates my proficiency in cloud technologies but also reflects my commitment to staying at the forefront of industry trends and advancements. Additionally, I am currently pursuing an AI and Machine Learning postgraduate course at the University of Texas at Austin, further deepening my knowledge and skills in cutting-edge technologies. In summary, I am not just a developer; I am a strategic thinker, a problem solver, and a lifelong learner. My commitment to excellence, paired with my diverse skill set and unwavering passion for technology, makes me a valuable asset to any organization looking to drive innovation and achieve success in today's rapidly evolving digital landscape.

I started my journey in software development with a strong educational background, earning an M.Sc. from the London School of Economics. My passion for technology led me to specialize in iOS development, where I've had the privilege of working on groundbreaking projects like Rivian's flagship mobile app for vehicle control. Recently, I've delved into new technologies like GraphQL and Combine, always aiming to stay ahead of the curve. What sets me apart is my managerial experience and relentless focus on continuous improvement, ensuring that the products I work on are not just functional but exceptional. I pride myself on my diverse skill set, which includes proficiency in multiple languages and frameworks. I'm excited to bring this unique blend of skills and experience to innovative AI/ML roles. I recently did a course in Python for data science at UBC, as part of the Key Capabilities in Data Science certificate program there, and earned a grade of 95%.

Specialized in Artificial Intelligence (Computer Vision) Interested in Natural Language Processing, LLM Fullstack Web Development Learning LLMOps and Prompt Engineering

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.

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.

With a robust theoretical background in understanding skill development, I have dedicated significant research towards the acquisition of high-level competencies in individuals with no prior training. My research in cognitive science on learning has been deeply influenced by both constructivist and behaviorist approaches. I have penned a thesis on this subject, further solidifying my expertise in the domain. My eclectic experience spans across teaching, training, and now, in the realm of information technology. Today, I seamlessly integrate all these skills, bridging the gap between education, training, and technology. Passionate about AI, I am currently advancing my expertise in the Python language and am eager to share my innovative ideas and technical skills. I am excited about the opportunity to contribute to a leading company in the AI sector, where I can leverage my unique blend of skills and experiences. Programming Languages: Python, SQL, JavaScript, HTML5, CSS3, PHP, Laravel

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

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.