Victor Anderson

Open to full-time roles and freelance projects. Helping SaaS and Web3 teams build scalable, AI-powered applications. Specialized in full stack development using React, Next.js, Node.js, and Python. Skilled in building serverless infrastructures with AWS, Docker, and Vercel. Integrated LLM tools including OpenAI, LangChain, and Pinecone. Delivered fast, reliable APIs and real-time data pipelines using GraphQL and vector search. Let’s build something scalable, fast, and intelligent. Reach out to collaborate.

Ramp needed to scale its Web3 and AI products — fast. Latency was high. Search was weak. User engagement was stalling. I rebuilt their stack with serverless architecture using AWS Lambda, Vercel, and Docker. I led the development of LLM-driven recommendation systems, increasing feature adoption by 40%. Integrated vector search using Weaviate, boosting semantic query accuracy by 30%. Reduced backend latency by 25% with optimized caching and API refactors. Mentored junior developers on AI workflows, OpenAI prompt design, and scalable deployments. Brought structure and scale to a cutting-edge AI product suite.

TechSavvy's clients needed faster and smarter tools — especially in regulated spaces. I designed secure APIs using Node.js, GraphQL, and OpenAPI for medical and financial data. Built LLM-based summarization tools that reduced support ticket handling time by 40%. Deployed real-time vector search pipelines using Pinecone and serverless AWS services. Improved frontend load speed and usability with optimized React and Next.js architecture. Transformed AI prototypes into production-level features for B2B clients.

At Svenska, I worked on backends for enterprise platforms needing automation and insight. Developed Node.js-based microservices with NLP tools for ticket classification and sentiment analysis. Improved customer support efficiency by 30%. Redesigned CI/CD pipelines using Docker and GitHub Actions, cutting deployment time by 40%. Built predictive analytics models for churn and engagement forecasting. Created ML-powered infrastructure that scaled with client demand.