Ben S.

Hi, I’m Ben Simmons. I help startups, growth companies, and enterprises turn AI ideas into production-ready SaaS platforms, RAG systems, and LLM-powered applications that scale and deliver measurable ROI. With 10+ years of experience, I design and build AI/ML applications, deep learning models, NLP pipelines, generative AI apps, computer vision tools, AI chatbots, document intelligence platforms, recommendation engines, predictive analytics solutions, workflow automation, knowledge graphs, vector search systems, multi-modal AI applications, embedding pipelines, foundation models, few-shot and zero-shot learning pipelines, self-supervised learning models, reinforcement learning systems, MLOps pipelines, and AI Ops solutions that drive business transformation. I implement and integrate LLMs and AI pipelines using OpenAI GPT (GPT-4.5/5), Anthropic Claude (Claude 4 Opus), Google Gemini (2.5/Ultra), Meta Llama 4 (Scout/Maverick), Alibaba Qwen 3/Next, Mistral 3, xAI Grok 3/4, Cohere Command R+, and Hugging Face open-source models. I build scalable backends with Python, FastAPI, Node.js, Express, Django, Flask, Golang, and develop responsive frontends with React, Next.js, Vue/Nuxt, Angular, Svelte, SolidJS, and Astro. Databases and storage include PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, Neo4j, Weaviate, Qdrant, Milvus, Chroma, Pinecone, and vector embeddings. Microservices, APIs, and event-driven architectures use GraphQL, REST, WebSockets, gRPC, and serverless functions. I deploy full-stack applications on AWS (Lambda, EC2, ECS/EKS, SageMaker), Azure (App Service, Functions, AKS), Google Cloud (GKE, Cloud Run, Vertex AI), and hybrid/on-prem environments. Containerization and orchestration use Docker, Kubernetes, and Helm. CI/CD and DevOps pipelines leverage GitHub Actions, GitLab CI, Jenkins, ArgoCD, Terraform, Pulumi, and monitoring/logging tools like Prometheus and Sentry. 𝐀𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 Tech stack: LangChain, Haystack, Jina AI, OpenCV, Tesseract, Streamlit, Gradio, Chroma, Pinecone, Milvus, Weaviate • RAG pipelines, AI-powered search, and knowledge management • NLP: chatbots, virtual assistants, summarization, sentiment analysis, text classification, document Q&A • Computer vision: image/video classification, object detection, OCR, video analytics, anomaly detection • Generative AI: content creation, summarization, image/video generation, AI-assisted decision support • Predictive analytics and recommendation engines 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 & 𝐒𝐚𝐚𝐒 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Tech stack: NextAuth, Tailwind CSS, Chakra UI, Material-UI, Supabase, Firebase, Hasura, Apollo, NGINX, Vercel, Netlify • Frontend and backend systems for interactive, responsive, and secure SaaS applications • Serverless/cloud-native deployment, API integrations, real-time dashboards, and analytics 𝐒𝐚𝐚𝐒 𝐌𝐕𝐏 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Tech stack: Airflow, Prefect, Dagster, dbt, PostHog, Superset, Metabase, Grafana • Rapid prototyping and MVP development for AI-driven SaaS products • AI integration, data pipelines, automation, document intelligence • Scaling MVPs into production-ready platforms with monitoring, logging, and performance optimization • Product strategy and consultation for faster time-to-market and ROI 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 & 𝐔𝐬𝐞 𝐂𝐚𝐬𝐞𝐬 Healthcare, Fintech, Education, Real estate/PropTech, Retail/e-commerce, Logistics, Energy, Media, Legal, Government • Predictive analytics, AI engagement, personalization, RAG knowledge systems, computer vision, document intelligence, automation, and recommendation engines 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐏𝐫𝐨𝐜𝐞𝐬𝐬 • I provide free consultancy, including call scheduling and meetings to gather requirements, clarify project goals, and understand business priorities. • Based on these discussions, I deliver a fully scoped, documented proposal outlining the architecture, AI/ML components, tech stack, integrations, deliverables, and critical project details to ensure alignment and transparency. • Architecture design for scalable AI/SaaS systems with future-proof, enterprise-ready solutions. • Development, testing, and integration of backend, frontend, and AI pipelines. • Deployment, optimization, and monitoring using cloud-native, serverless, and containerized infrastructures. • Post-launch support for iterative improvements, performance tuning, and long-term system reliability. I collaborate directly with founders, product managers, and technical teams to deliver AI-powered SaaS products, RAG systems, NLP pipelines, computer vision platforms, LLM-powered solutions, and generative AI apps from concept to fully functional, enterprise-ready, scalable products.