Samuel P. looks like a good fit?

We can organize an interview with Aldin or any of our 25,000 available candidates within 48 hours. How would you like to proceed?

Schedule Interview Now

Samuel P. - Fullstack Developer, AWS, nextjs

At Softaims, I’ve found a workplace that thrives on collaboration and purposeful creation. The work we do here is about more than technology—it’s about transforming ideas into results that matter. Every project brings a mix of challenges and opportunities, and I approach them with a mindset of continuous learning and improvement. My philosophy centers around three principles: clarity, sustainability, and impact. Clarity means designing systems that are understandable, adaptable, and easy to maintain. Sustainability is about building with the future in mind, ensuring that the work we do today can evolve gracefully over time. And impact means creating something that genuinely improves how people work, connect, or experience the world. One of the most rewarding aspects of working at Softaims is the diversity of thought that every team member brings. We share insights, question assumptions, and push each other to think differently. It’s this culture of curiosity and openness that drives the quality of what we produce. Every solution we deliver is a reflection of that shared dedication. I’m proud to contribute to projects that not only meet client expectations but also exceed them through thoughtful execution and attention to detail. As I continue to grow in this journey, I remain focused on delivering meaningful outcomes that align technology with purpose.

Main technologies

  • Fullstack Developer

    6 years

  • Machine Learning

    2 Years

  • TensorFlow

    2 Years

  • Python

    3 Years

Additional skills

  • Machine Learning
  • TensorFlow
  • Python
  • PyTorch
  • Linux System Administration
  • Artificial Intelligence
  • React Native
  • React
  • Next.js
  • JavaScript
  • Chatbot Development
  • node.js
  • Firebase
  • MongoDB
  • Large Language Model
  • AWS
  • nextjs

Direct hire

Potentially possible

Ready to get matched with vetted developers fast?

Let’s get started today!

Hire undefined

Experience Highlights

Cuelis – Prompt Management Platform for Automation & Agents

I built Cuelis using TypeScript and React to simplify prompt management for clients running complex automation and agent workflows. Prompts often become difficult to track and update at scale, so I created a platform that allows me and my clients to easily organize, version, and update prompts on the fly—without rebuilding or redeploying the backend. This solution streamlines operations, reduces downtime, and enables fast iteration, making prompt-driven automation more reliable and efficient.

AI Customer Support Agent • RAG-Driven Ticket Resolution for Shopify

Developed an AI support agent that ingests open tickets from third-party sales platforms, normalizes them, and indexes key details into a vector store. Using a Retrieval-Augmented Generation pipeline atop GPT-4, it retrieves relevant FAQ content and historical responses to craft accurate, conversational replies. Integrated via Shopify webhooks and a lightweight React dashboard, the system logs all interactions in Firebase for auditability and continuously refines its knowledge base through periodic retraining.

Vektaris – Decentralized AI-Ready Vector Database

I built Vektaris as an in-house AI embedding storage system, which proved so powerful that I decided to release it publicly. Built on Internet Computer Protocol (ICP), Vektaris provides scalable, secure, and decentralized vector storage for AI-driven applications. 🔹 AI-Optimized Vector Databases – Store, manage, and query embeddings with high-performance retrieval. 🔹 Decentralized & Secure – Blockchain-based immutable data protection and end-to-end encryption. 🔹 Seamless Integration – Python, Node.js SDKs, and APIs for TensorFlow, PyTorch, OpenAI, and more.

ToolFlow Protocol JSON-First LLM Tool Discovery & Invocation Server

ToolFlow Protocol (TFP) is a lightweight, JSON-first spec and reference server—built in Node.js/TypeScript—for discovering and invoking “tools” (APIs) at runtime. • Endpoints: – GET /tfp/tools returns a manifest – POST /tfp/invoke calls a tool by ID • Type Safety: Zod runtime validation + TypeScript types • Extensible: Register new handlers with registerTool(descriptor, handler) • CLI-Friendly: ~150 lines—test instantly via curl Rapidly prototype context-aware toolchains for RAG workflows, custom LLM agents, or human integrations. See my GitHub for examples and setup instructions.

Hybrid Document Intelligence & Simulation Chatbot (MVP)

Built an end-to-end MVP using React & Firebase, OpenAI, and Pinecone to turn uploaded documents into live business simulations. Users chat or drag-and-drop PDFs, DOCX, or XLSX; Firebase handles state and storage. A Python preprocessing pipeline (OCR + format normalization) feeds Pinecone for vector search. OpenAI LLMs extract pricing rules, conditional logic, and parameters, then power a simulation API via FastAPI. Results and human-readable explanations return in a dynamic React interface, ready for rapid iteration and scaling.

Education

  • ITT Technical Institute

    in Information Systems Cyber Security

    2012-01-01-2015-01-01

  • University of London

    Bachelor of Applied Science (BASc) in Artificial Intelligence

    2021-01-01-2026-01-01

Languages

  • English

Personal Accounts