Personal details
amir E.
Technical skills
About
Experienced full stack engineer with 13+ years of building scalable, high-performance web applications across cloud environments. Specializes in Node.js (Express, Nest), TypeScript, and React, with strong experience in backend architecture, database design, and cloud-native deployment.
Proficient in both SQL (PostgreSQL) and NoSQL (MongoDB, Redis, DynamoDB) databases, with production-level experience using AWS and GCP services. Skilled in automated testing (Jest, Mocha), API design (REST, WebSockets, GraphQL), and DevOps practices using Docker, CI/CD, Terraform, and observability tools (DataDog, Grafana, New Relic).
Also experienced in AI engineering, including ChatGPT API integration, RAG workflows, and vector databases like Qdrant for intelligent systems.
Proven team leader and project architect, known for mentoring engineers and driving system design excellence in Agile environments.
Work Experience
- Developed an AI Agent that extracts assets from PDF files. These files can be in any format, in order to get a standardized output to save on the DB, Google Sheets or CSV.
- Developed an AI Agent that allowed semantic search from many reports in free text
Tech Stack: Node.js (TypeScript), AWS (Textract, Lambda, DynamoDB, SQS, S3), AI (ChatGPT, RAG, Vector Database w/ Qdrant), Git, GraphQL, Terraform, Docker
- Co-Engineering Leadership: Directly managed 40 engineers, alongside two other co-leaders, leading engineering efforts, focusing on strategic planning, resource allocation, performance assessment, promotions, hiring, onboarding, and project delivery
- Product Development & Interdepartmental Liaison: Collaborated with other teams to define product requirements and architect technical solutions that met business needs. Also acted as a liaison between the engineering and other departments.
- Cloud Infrastructure & Systems Design: Responsible for creating and maintaining the first version of the cloud infrastructure. Oversaw the creation of the second version of the cloud infrastructure, automating deployments and implementing feature flags for smoother version upgrades, which resulted in a reduction from 5 min downtime to zero downtime
- Technical Reference: Acted as a subject matter expert about backend and cloud, participating in code reviews, architectural discussions, and technical design sessions. Improved software development practices, processes, and tools, established efficient debugging methodologies, dropping resolution time from 24h to 5h20
- An architecture improvement that reduced AWS bill by 37%