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🍁 CV / Resume 🇨🇦

🍁 Anton Romeo

AI Full Stack Engineer

📧 Email: antonr24710@gmail.com

📍 Address: Edmundston, NB, Canada 🇨🇦

📞 Phone: +1 (769) 358-9629

💼 LinkedIn: linkedin.com/in/anton-romeo-218a4b3a8

🍁 PROFILE

AI Full-Stack Engineer with 10 years of experience building production-grade web and mobile applications powered by modern AI systems. Specialized in LLM-driven features, RAG pipelines, and intelligent backend services, with a strong balance of web and mobile app development.

Experienced in designing and deploying scalable AI microservices, integrating LLMs into real user workflows such as chat assistants, document automation, and semantic search. Skilled in FastAPI, Node.js, cloud-native deployment on AWS, and delivering secure, low-latency systems that are built for real-world adoption. Known for writing clean, maintainable code and translating complex AI capabilities into reliable, user-focused products.

Technology Stack:

  • Languages: Python, Java, JavaScript, TypeScript, Go, SQL
  • AI & GenAI: LangChain, LangGraph, CrewAI, MCP, RAG, embeddings, semantic search, vector DBs (Pinecone, FAISS), prompt engineering, LLM routing (GPT-4, Claude, Mistral, Gemini), LangSmith, multi-agent workflows, speech I/O (Retell.ai, LiveKit, Deepgram, ElevenLabs)
  • Backend: FastAPI, Flask, Spring Boot, Django, Node.js, Express, REST/GraphQL, Celery, Redis, WebSockets
  • Frontend: React, Next.js (App Router), TypeScript, Redux Toolkit, Zustand, responsive UIs
  • Mobile: Swift, Kotlin, Flutter, React Native
  • Data: PostgreSQL, MySQL, DynamoDB, Redshift, ETL pipelines, Supabase, real-time analytics
  • Cloud & DevOps: AWS (S3, Lambda, Kinesis, Step Functions, EventBridge, RDS, DynamoDB, EMR, IAM, ECS/EKS), GCP, Docker, Kubernetes, Terraform, CI/CD (GitHub Actions), Vercel, Railway
  • Practices: SOC 2 compliance, AES-256 encryption, TDD, Agile/Scrum, Jira, Git, system observability, cross-functional collaboration

🍁 EDUCATION

University of New Brunswick 🇨🇦

Bachelor's Degree 2012-2016

🍁 KEY COMPETENCIES

  • Production AI Systems: LLM-driven chat assistants, document Q&A, intelligent automation
  • RAG Pipelines: Vector databases, embeddings, semantic search optimization
  • Full-Stack Development: React, Next.js, TypeScript, responsive web and mobile interfaces
  • AI Microservices: FastAPI, containerization, cloud-native deployment (AWS ECS)
  • System Architecture: Scalable, low-latency, secure systems for real-world adoption

🍁 SKILLS

Python
JavaScript
TypeScript
Java
Go
LangChain
LangGraph
RAG
Vector DBs
FastAPI
Node.js
React
Next.js
Redux
AWS
Docker
Kubernetes
PostgreSQL
MongoDB
DynamoDB
OpenAI API
GPT-4
Claude
Flask
Django
Spring Boot
GraphQL
CI/CD
Terraform
Git

🍁 EMPLOYMENT HISTORY

🍁 BeckTek

AI Software Engineer

March 2022 - May 2025 (3 years 2 months)

  • Designed and delivered LLM-driven AI systems including conversational assistants, document Q&A, and intelligent data extraction pipelines, enabling users to query and automate workflows over large internal knowledge bases.
  • Built and optimized retrieval-augmented generation (RAG) pipelines using embeddings and vector databases to produce accurate, context-aware responses from unstructured documents and customer data in production environments.
  • Engineered full-stack development across web and mobile, building AI-enabled user interfaces with React/Next.js and integrating real-time AI features into mobile applications via REST and WebSocket APIs.
  • Architected FastAPI-based AI microservices for inference, retrieval, and orchestration, containerized with Docker and deployed on AWS ECS to support scalable, low-latency workloads.
  • Implemented cloud infrastructure, CI/CD pipelines, and monitoring using AWS services (ECS, S3, CloudWatch), improving deployment reliability, observability, and operational efficiency for AI services.

🍁 Sedin Technologies

Full-Stack Engineer

September 2020 - February 2022 (1 year 5 months)

  • Engineered infrastructure as code (IaC) using Terraform to automate cloud provisioning and management, resulting in a 20% reduction in infrastructure costs and a 35% increase in deployment frequency.
  • Architected and managed robust CI/CD pipelines using Bamboo and scripting, enabling continuous deployment of Docker images to RKE (Rancher) Kubernetes clusters with a 99.9% success rate.
  • Oversaw release management processes for major application deployments, coordinating with development and QA teams to ensure seamless transitions.
  • Owned the management and scaling of containerized applications on the Rancher Kubernetes Cluster, establishing health checks to ensure robust application stability and resilience.
  • Pioneered the implementation of the ELK Stack (Elasticsearch, Logstash, Kibana) for centralized log aggregation and monitoring, optimizing system analysis and improving incident resolution speed by 50%.
  • Integrated conversational AI models (OpenAI's GPT-3/GPT-4, Langchain) into the platform, enhancing interactive features and user engagement.
  • Mentored junior DevOps engineers on best practices for CI/CD, IaC, and security.

🍁 Gust

Back End & DevOps Developer

October 2018 - October 2021 (3 years 1 month)

  • Developed and maintained robust backend systems using Node.js, Express.js, Sequelize ORM, and MySQL, integrated with a React/Redux Saga frontend.
  • Implemented automated tasks using Linux commands and scripting, improving backend efficiency and streamlining developer workflows.
  • Engineered load balancing solutions to ensure efficient network traffic distribution, improving system performance and reliability under high load.
  • Customized and managed configuration management in Rancher, including the dynamic provisioning of persistent volumes for Kubernetes pods.
  • Contributed to the improvement of CI/CD processes by proposing and implementing alternative pipeline strategies that enhanced automation and system reliability.
  • Spearheaded the development of a marketplace platform using React, Next.js, and GraphQL.

🍁 MNP Digital

Software Intern

September 2016 - March 2018 (1 year 6 months)

  • Assisted in developing internal web tools and dashboards using JavaScript, Python, and SQL.
  • Supported backend development tasks, including API enhancements, database maintenance, and bug fixes.
  • Participated in requirements gathering, testing, and documentation as part of agile project teams.
  • Gained foundational experience in software engineering best practices, version control, and production support.