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Alexandra Alexis

LangChain Engineer
Worked with Citi.
With 7+ years of experience building, testing, and maintaining infrastructures and tools to allow for the speedy development and release of the software. Proven expertise in setting up CI/CD for applications, Policy Automation, Jenkins, Web Logic, Java applications, and AWS CodeDeploy.

Chris Simpson

LangChain Engineer
Worked at Syngenta and Charter.
Chris Simpson has been a web developer (HTML, CSS, and JavaScript) for 16 years. His first 8 years were full-stack with C# and ASP.Net, and the last 8 years have been front-end with jQuery, Angular.js, and Vue.js. Most of his web development experience has been with internal tools within Telecommunications, Healthcare, and Biotech. He likes to work with AI, IoT, AU, Blockchain, VR, robots or 3D printing; and/or within software, electronics, material science, sensing, biotech, green tech, frontier research or military tech. He enjoyed doing R&D and prototyping more than production work.

Rachael Mathew

LangChain Engineer
Skilled in ML, AI, and AWS.
Passionate about developing web applications and creating seamless user experiences. Skilled in React, Django, and database management. Strong problem-solving and communication skills.

Richard Ball

LangChain Engineer
Principal data scientist at Kinetic.
Experience leading the machine learning competency, which involves scoping machine learning problems and driving project adoption, deploying and managing fraud detection and NLP models in our production machine learning infrastructure on AWS, and building a new infrastructure for production machine learning using Spark and MLflow.

Nikhil Sharma

LangChain Engineer
Proficient in Kubernetes, Terraform, LLMs, and LangChain Run.
Full-stack Flutter developer with 5 years of Flutter and 6 years of programming experience, building web and mobile applications
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Hire Digital connects companies with talent in marketing, digital, and content creation. We curate our expert network through a rigorous screening process, where members are evaluated for their technical skills, work experience, and their problem solving and communication skills.
We’ll match the best talent for your needs based on the required skills, expertise level, project size, budget, language, geography, experience, and other criteria. A decision is made by our experts with the help of AI-based algorithms. Only 3% of the talent we vet are accepted to our network - hence you can be assured of the quality.
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Companies typically take between 24 to 72 hours from the time when they inform Hire Digital of their talent needs, to start working with their matched talent.
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