Hire the Top 2% of
Remote Evm Based Chains Developers

Mark M.

Remote Evm Based chains developer in Ireland (UTC+1)

Senior Full Stack Software Engineer with architect-level expertise in React, TypeScript, and NodeJS, specializing in distributed systems, AWS infrastructure, and iGaming platforms. Proven track record in technical leadership, codebase assessment, engineering standards, and mentoring. Adept at integrating third-party services, building reporting solutions, and driving business-critical features from concept to production.

David S.

Vetted Evm Based chains developer in the United States (UTC-7)

Results-oriented AI/ML and Full-Stack Engineering leader with 22+ years of experience. This includes architecting, developing, and deploying cutting-edge AI solutions, including LLMs, generative AI, and large-scale data insights systems. Expertise in a wide range of technologies, including AWS cloud services, CI/CD pipelines, and various AI/ML frameworks (TensorFlow, PyTorch, etc.). Adept at translating business requirements into technical solutions and delivering impactful results in fast-paced, innovative environments.

Dr. J.

Vetted Evm Based chains developer in the United States (UTC-4)

As an entrepreneur, project manager, and information security professional, I have developed a broad range of skills and knowledge that I am passionate about sharing with others. I believe that mentoring is a great way to help others achieve their goals and make a positive impact on the world. That's why I want to become a mentor on Codementor. As a mentor, I hope to inspire and guide learners to achieve their full potential. I want to help aspiring entrepreneurs, project managers, and information security professionals navigate the challenges and opportunities in their respective fields. By sharing my experiences, insights, and expertise, I hope to help others succeed and make a difference in their communities. Being a mentor on Codementor is a great way to connect with like-minded individuals in the tech industry and help others overcome challenges and solve problems. It's also a rewarding experience that allows me to earn money while doing something I love. I am excited about the opportunity to join the Codementor community and help others achieve their goals through mentorship.

Lyle P.

Vetted Evm Based chains developer in France (UTC+2)

Versatile and experienced data engineer offering expertise in enterprise data solutions, cloud data engineering, and high-level strategic planning. Proven track-record leading technical teams to develop, analyze, and scale diverse, big data assets and pipelines aligned to organizational objectives with a focus on data modeling, scalable workflows, and optimization. Deep technical expertise combined with an understanding of the importance of highly effective data pipeline design and management, technical leadership, and stakeholder management. Collaborative leader continually focused on building relationships to produce highly effective cross-functional teams, increasing productivity, and improving outcomes. Individual dedicated to self-reflection and personal improvement who consistently exceeds performance metrics.

Kanarupan K.

Vetted Evm Based chains developer in Australia (UTC+10)

I bring a decade of seasoned expertise in backend software engineering, along with strong analytical, teamwork, and communication skills. Successfully remote-worked with globally distributed teams for the last five years. Eager to contribute to challenging projects in a collaborative environment. I am committed to fostering a positive culture of thinking from first principles, engineering excellence, and accelerating the delivery of high-quality software.

Gil R.

Vetted Evm Based chains developer in Mexico (UTC-7)

Data Scientist & AI Engineer with over 4 years of expertise in Machine Learning, NLP, and Large Language Models (LLMs). Demonstrated proficiency in designing and deploying scalable data solutions and fine-tuning transformer models. Experienced in optimizing performance through technologies such as FastAPI and Docker, while leveraging Google Cloud and Azure to enhance operational efficiency. Experienced in developing systems that drive business value by improving decision-making, and data processing capabilities.

Peter J.

Vetted Evm Based chains developer in Czech Republic (UTC+2)

Software Engineer with more than six years of experience. Worked on and delivered optimized, production-ready models and data pipelines used on millions of messages per month. Knowledge of research, data engineering, back-end, and DevOps. 3x AWS certified (AWS Certified Machine Learning – Specialty, AWS Certified Developer – Associate, AWS Certified Cloud Practitioner). Check out my website https://www.jung.ninja/ for an LLM-based chatting bot answering questions about my CV :).

Harsh S.

Vetted Evm Based chains developer in India (UTC+6)

Meet Harsh, a dedicated member of the Applied AI Engineering team at Target, with a focus on implementing the genAI components using Vertex AI, OpenAI and open source models. This includes working extensively with Foundation Model APIs, Search and Conversation, Model Garden, and Vector Search. My role allows me the opportunity to leverage the latest and most advanced models and products from the Generative AI community. Harsh was engaged in building a MLOps platform from scratch by building abstraction layers with scalable APIs. Proficient in Python, AWS, GCP, Spring Boot, Java, Scala, Kafka, PyTorch, TensorFlow, Flask, FastAPI, React, and Docker, Harsh's expertise spans a wide range of technologies. He is a professional introvert who thrives on writing to learn and continually seeks new knowledge every day. Harsh's fascination with Data Science stems from his mathematical captivation and love for questioning existing processes and assumptions. He excels in developing novel methods and analytical algorithms, constantly striving for consistent improvement. His proficiency in Machine Learning encompasses various algorithms, including Decision Trees, Regression, Classification, Neural Networks, Ensemble methods, Kernel Methods, SVMs, Markov Decision Processes, Game Theory, and Bayesian Learning. Additionally, Harsh has a strong grasp of statistical techniques such as Regression Analysis, Time Series Forecasting, Hypothesis Testing, and A/B Testing. He is experienced in working with applications and databases like Tableau, GitHub, Power BI, Qlik, MySQL, PostgreSQL, Apache Spark, AWS Redshift, DynamoDB, Cassandra, and Hive. Harsh's multifaceted personality shines through in his work and social interactions. As a machine learning enthusiast and sociable individual, he excels in client-facing roles, actively engaging with stakeholders to understand their needs and provide effective solutions. His passion for crunching numbers and working with datasets, alongside creating compelling visualizations, enables him to reveal the stories hidden within the data. Harsh firmly believes in empathy and gratitude, fostering positive work environments and delivering outstanding results. He places great importance on clear communication and defining requirements meticulously to ensure the team achieves the desired outcomes. Outside of work, Harsh cherishes meeting new people, engaging in meaningful conversations, and building valuable relationships. This trait complements his networking skills, making him a valuable asset in both professional and social spheres.

Muhammad A.

Vetted Evm Based chains developer in Pakistan (UTC+5)

Upwork Profile: https://www.upwork.com/freelancers/~017c52f0d690bf476e Hi I'm a web developer with **6+ years of experience**. I have a proven track record in several industries such as web3, AI, automation, eCommerce, IoT, and fintech. I have a strong focus on creating great user experiences and I'm known for my ability to deliver clean, scalable, and maintainable code. I follow a very simple yet effective code of conduct: I always listen to my clients before making decisions and value their time by being upfront about my skills and competencies. I'm fluent in english speaking and writing, I **will come on Zoom/Meet without any problems or hesitations for demos and progress updates.** ### ✅ MY SKILLS ◆ I have worked with MERN stack for frontend and backend development for more than 7 years to build high performance IoT backend as a service. I have 4+ years of experience in IoT and 2+ years in LLM. ◆ I've worked with ReactJS, Javascript, JQuery, StimulusJS, HTML5, CSS, Bootstrap, TailwindCSS for Frontend development ◆ I've worked with PostgreSQL, MySQL, MongoDB, Redis, Memcache, for the database caching and queuing. ◆ I have integrated different payment gateways such as Stripe and 2checkout, Braintree, [authorize.net](http://authorize.net/), GooglePay, Apple Pay, and many others. ◆ I've deployed applications on Linode server, Digital Ocean, Elastic Beanstalk, Heroku, Google Cloud servers, EC2, and EKS. ◆ I've Integrated lots of 3rd party APIs like Google Maps, BitGo, Skyscanner, Google Finance, LinkedIn, DocuSign, Youtube, Facebook, X (Twitter), and many more. I've deep knowledge to work with the latest technologies. ◆ I have worked with web3 including CoinGecko, DexTools, DexScreener, Covalent, GoldRush, BitQuery, and more. ◆ I have built social and crypto bots for X, Telegram, Whatsapp, Slack, and Discord. ◆ I've broken monoliths architectures into microservices using Redis or Kafka at the core, and Kubernetes to manage the cluster. ### ✅ MY TECK STACK **◆ Frontend:** React, Tailwind, Next, Radix UI, Shadcn/ui,. **◆ Backend:** Express.js, MongoDB, Node.js, Nest.js, Postgres, Redis, Kafka, BullMQ, RabbitMQ. **◆ No Code:** Webflow, Retool, Bubble, Framer, Graphana. **◆ LLM:** OpenAI GPT, GPT4o, Claude, Meta Llama, Google Vertex, ChromaDB. PineconeDB, LangChain, AI agents, prompt engineering **◆ DevOps (CI/CD):** Kubernetes, Cloud build, Nginx, GitHub Actions. Vercel, Jenkins, Bamboo **◆ Documentation:** Docusaurus, Nextra. **◆ Protocols:** REST, gRPC, WebSockets, GraphQL, OAuth, OAuth2.0. **◆ Analytics:** PostHog, Google Analytics, Mixpanel, Moesif, June. I'm one of the makers of [grandeur.dev](https://grandeur.dev/), an IoT platform that packs away the complexities of IoT development and gives engineers a way to build IoT apps, connect real devices, and monitor/control them in real time. It has builtin auth, connectivity, storage, drag and drop app building, over-the-air software upgrades, APIs, and more. It's an extremely ambitious project, AND MY BRAINCHILD and you can access it at [console.grandeur.dev](https://console.grandeur.dev/). ### ✅ FIVE REASONS WHY YOU SHOULD CHOOSE ME ◆ I will communicate frequently and do project check-ins so you know the progress of my work every step of the way. ◆ I'll work till the end and after to ensure that your site is not just developed but lasts the test of time. ◆ I will never have you feel that I am burning through your time or cash. ◆ I've been able to produce sites with extremely small deadlines. ◆ And yes, I can do a quick sample work according to your need. I'm always interested in connecting with new people and exploring new opportunities. Feel free to reach out to me for any queries even if you don't have any formal requirements yet! You can come to me with a problem and I'll help you develop solutions. Let's get in touch!

Daniel L.

Vetted Evm Based chains developer in Brazil (UTC-3)

I am an Engineer experienced in Python, having worked on multiple applications, ranging from academic research (embedded circuits and time series modeling) to industrial (logistics, finance market, and speech recognition). **TECH STACK** Python: ○ Flask, SQLAlchemy, FastAPI, DRF ○ Pandas, Numpy, Scipy ○ Scrapy ○ Matplotlib, Seaborn, Dash, Plotly ○ Jupyter, Ipython ○ Pytest / TDD ○ Pyspark ○ Keras, TF, Pytorch Databases: ○ PostgreSQL, MySQL DevOps: ○ Jenkins, Docker, Git Cloud: ○ AWS and GCP **COURSES AND CERTIFICATIONS** Database Design and Basic SQL in PostgreSQL Applied Machine Learning in Python Applied Plotting, Charting & Data Representation in Python Neural Networks and Deep Learning Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization Structuring Machine Learning Projects Natural Language Processing with Probabilistic Models Natural Language Processing with Classification and Vector Spaces Python Data Structures Using Databases with Python Object-Oriented Programming Laboratory