Hire Farzin M. - LLM Engineer - Remote

* ● Developed a chatbot generation tool that automatically creates intelligent chatbots based on the content of a given website URL, using web scraping to extract relevant data and machine learning to parse and understand the website’s content. * ● Developed and deployed an intelligent onboarding application leveraging LLMs, improving user engagement and reducing the onboarding time by 30%. * ● Provisioned Google Cloud Run, Cloud Armor, GKE, Load Balancers, and DNS using Terraform/Terragrunt to scale and secure a RAG-based Onboarding Question-Answering API application. * ● Developed, deployed, and optimized the application using Flask, Python, Google API Gateway, Neo4j/Cypher, OpenAI API, and the LangChain framework. * ● Implemented Retrieval-Augmented Generation (RAG) techniques to improve information retrieval and natural language processing capabilities. * ● Configured GitHub Actions to automate and customize CI/CD workflows for software development and cloud infrastructure.

* ● Participated in design and implementation of Everything as Code solutions for the infrastructure and operations on AWS and GCP. * ● Designed, deployed and maintained multiple Kubernetes clusters. * ● Developed and maintained automation scripts using CloudFormation, Terraform and Python scripts for managing and deploying services/applications on AWS, GCP and Elasticsearch, reducing deployment time and minimizing production issues. * ● Designed and implemented security measures using AWS WAF to enhance web application and APIs protection across CloudFront distributions. * ● Developed and maintained ETL pipelines using AWS Glue for efficient data ingestion, transformation, and loading processes. * ● Developed and maintained Kubernetes operators to automate operational tasks, such as scaling, upgrading, and self-healing of applications running on Kubernetes. Strong background in container orchestration and deployment using Kubernetes, Helm, and Kustomize.

● Worked as part of the main Back-End team to build and maintain a highly scalable Distributed System of Micro-Services in GO which comprise the entire Flybits Context Aware and Personalization Suite ● Implemented a bootstrap API to communicate with other micro services through RabbitMQ, gRPC and Restfull call to create different entities such as Content templates, Context plugins, Rules and Experiences. ● Developed Passive (Pub-Sub), and Active communication between micro-services using RabbitMQ, AMQP, MQTT, and gRPC for caching and conveniently retrieving data between Micro-Services in order to avoid sharing data stores ● Incorporated Table Driven Testing which helped reach at least 80% code coverage for Unit Testing of all Micro-Services