Hire the Best Semantic UI Specialists in Dhaka, BD

I specialize in integrating AI into real, working systems, whether it’s adding a chatbot on top of your data, building a Retrieval-Augmented Generation (RAG) pipeline, or automating workflows using LLMs. What I typically build: ✅ RAG-based chat systems (connect your docs, database, or APIs) ✅ AI assistants inside SaaS products ✅ Smart search (semantic / vector-based) ✅ Workflow automation using AI ✅ API integrations with LLM providers I don’t just plug in an API and call it done. I look at your current system, identify where AI actually adds value, and integrate it in a way that fits your architecture. If you already have a product and want to add AI features the right way, I can help you plan, build, and ship it.

I build agentic AI systems that run in production. Not demos. Flagship client: Princess Cruises (Carnival Corp, Fortune 500) — sole AI architect across 17+ deployed ship environments. Platform 1: Multi-agent BDI operations assistant. Custom orchestration written from scratch — no framework wrappers. LLM planning, guardrails, human-in-the-loop approvals, self-hosted Ollama at the ship edge. Fully air-gap compatible. Platform 2: Fleet-wide agentic assistant. Hybrid-retrieval RAG with 34,369 Confluence pages indexed into ChromaDB. MCP tooling invoking 40+ microservices in real time. 15+ years of Java and Spring Boot across 40+ microservices in enterprise production. 100+ P1 incidents resolved — I know what breaks at scale and why. Most AI engineers are Python-only and treat your existing backend as a black box. I architect AI directly into enterprise Java infrastructure — agent tooling, RAG pipelines, and LLM orchestration integrated into the systems you already run. $400K+ earned on Upwork. Top Rated. 12,755 hours logged. I also run TechyOwls, my own AI SaaS studio — because I prefer shipping over advising. SnapForge — screenshot and agentic data extraction API. LangGraph-based. Live with paying customers. Isolate — AI image processing platform. Background removal, upscaling, virtual try-on, local vision LLMs. LLM Bridge — WireGuard-tunneled inference between VPS and home GPU. Enterprise-grade inference without cloud lock-in. Stack: LangGraph, LangChain, MCP, ReAct, BDI multi-agent, ChromaDB, pgvector, self-hosted Ollama, Llama 3.x Vision, Claude, OpenAI. Java, Spring Boot, Python, FastAPI, TypeScript. Docker, Kubernetes, Ansible, Prometheus, Grafana. Oracle, PostgreSQL, Redis, Kafka. WHAT YOU GET When you bring me in, you get someone who has already made the architecture decisions you're about to make — at Fortune 500 scale, under real compliance pressure, in production environments where failure costs money. I embed as technical lead alongside your existing team or execute independently — both at the same standard. System design, agent orchestration, RAG pipeline, security review, stakeholder communication. You focus on the product. I keep the AI from becoming a liability. WHERE I ADD THE MOST LEVERAGE Teams past the prototype stage that need production-grade AI — systems that survive security review, scale to real users, and run in regulated or air-gapped environments. Enterprise codebases where AI needs to integrate with existing Java/microservices infrastructure, not replace it. Currently accepting a limited number of long-term engagements. Fixed-scope architecture audits also available.

Hey, I'm Shafiqul from Bangladesh — I help organizations eliminate manual work through AI agents and automation built on LLMs, RAG, n8n, and custom MCP solutions. I also build AI Solutions for Entrepreneurs on innovative ideas. One man Army- 15years as a Full Stack developer, delivered quality at Abwaab, Freeletics, SokkerPro, and 300+ successful products with cumulatively 200M+ users worldwide. AI-Solution I am proud of: Gienie (gienie.ai) is a system design simulator that lets you architect production-grade systems and instantly map them to popular cloud providers like AWS, Cloudflare, GCP, and Azure. With native MCP integration, you can connect your local or cloud models to design scalable systems in minutes. Gienie incorporates a massive knowledge base covering system architecture from basic concepts to advanced patterns, complete with deep dives into every component. I built my 15 years of industry experience into the platform, and over 100K+ developers worldwide already rely on it regularly. DigitalTwin (digitaltwin.zyura-e) was also very challenging project that I developed on Upwork for on LMS & Healthcare industry. It's a clinical ECG simulation that helps medical students and practicing doctors to apply their medical treatment on simulator and observe the response, if positive on then apply on human. It's got 97% excellent accuracy. What I build: I engineer end-to-end, production-grade AI systems that combine robust backend architecture with reliable LLM orchestration using frameworks like LangGraph and LlamaIndex. My work spans building enterprise-grade RAG pipelines—featuring hybrid search, dynamic chunking, and cross-encoder re-ranking (Cohere/BGE)—tuned across vector databases like pgvector and Pinecone, alongside distributed agent workflows powered by Temporal for deterministic concurrency control and fault tolerance. To deliver these capabilities as scalable SaaS products, I build multi-tenant architectures using FastAPI or Node.js, seamlessly integrated with Firebase Auth for row-level security and Stripe for usage-based billing. I enforce reliability through schema validation (Pydantic), automated retry logic, and observability/gateway platforms (LangSmith, LiteLLM) for token-budget tracking and prompt-caching, keeping API infrastructure performant, fault-tolerant, and cost-predictable. Stack: LangChain, Retrieval Augmented Generation, AI Agent Development, LLM Prompt Engineering, OpenAI API, Claude, Vector Database, Pinecone, Next.js, React, TypeScript, FastAPI, Python, Node.js, PostgreSQL, Elasticsearch, Firebase, Docker, Stripe, Google Cloud Platform I have a Bachelor of Science (BSc.) in Computer Science & Engineering from Daffodil International University. And, people know me as MSI Shamim from Increments Inc.

🔹 AI Engineer & Full Stack Developer | 7+ Years Experience | RAG, LLMs & Scalable SaaS Solutions Hi, I’m Mehedi Hasan Shifat, a Full Stack Developer & AI Engineer with 7+ years of experience building scalable SaaS platforms, internal tools, and AI-powered applications for startups and enterprises. I specialize in Next.js, React, Node.js, Spring Boot, and Python, combined with modern AI/LLM stacks including OpenAI, Anthropic, Hugging Face, LangChain, LlamaIndex, Pinecone, Supabase, and Weaviate. My expertise spans from traditional full-stack systems to cutting-edge AI copilots, RAG pipelines, and multi-LLM agent architectures. 🔹 What I Bring to the Table ✔ AI Engineering – Built Organization Co-Pilot AI Agents with intent detection, RAG pipelines, and multi-LLM orchestration for mid-to-large companies. ✔ Full-Stack SaaS Development – Proven record delivering robust SaaS apps with auth, payments, reporting, and integrations. ✔ Cloud & DevOps – CI/CD pipelines, Dockerized services, and deployments on AWS, Vercel, and Netlify. ✔ Data & Integrations – Hands-on with Supabase, Firebase, Xero, Stripe, and external API integrations. ✔ Founder-Friendly Communication – I translate complex AI and system design concepts into plain English for non-technical stakeholders. 🔹 Notable Projects 🚀 B2B Sales & Marketing SaaS → Delivered a React/Next.js + Spring Boot platform for US-based banks with campaign builders and deployment pipelines. 🤖 Organization AI Co-Pilot Agent → Multi-LLM chat system with RAG, intent detection, and admin review tools for enterprise knowledge retrieval and copiloting. 📊 Expense Management SaaS (Xero-integrated) → AI-powered OCR + OpenAI pipelines for financial document processing and draft invoice generation. 📱 E-commerce Mobile App → Designed and launched a cross-platform Flutter app with Firebase backend. I’m passionate about building AI-first applications, scalable SaaS products, and tools that push the boundaries of what’s possible with today’s LLM and cloud ecosystem. 📩 Let’s discuss how I can help you ship your next AI-driven product or full-stack application!

150+ Jobs Completed | 2000+ Hours Logged With 16+ years of working as a software engineer, technical lead and software architect, Tajbir brings deep understanding of enterprise software, management, and technical strategy to any project. He has extensive experience in full stack development, both on mobile platforms and web architectures (client and server side). He writes code that can be maintained and expanded over time as business systems and requirements adapt to market demands or pivots in core business direction. He is obsessed with learning newer and better technologies to bring the best solutions to all products and ideas. He possesses a vast range of skills in many different technologies, designs, and methods of execution. Education- Bachelor's Degree in Computer Science And Engineering (4 Years) Master's Degree in Computer Science (Major: Software Engineering) (2 Years) Expert in- Framework: Asp.Net MVC, Asp.Net Core, Node, MEAN, MERN Front End: VanillaJS, Angular, React, Vue, jQuery, LESS, Bootstrap, Semantic UI Database: MS SQL Server, MongoDB, MySQL, Firebase E-Commerce: Shopify, NopCommerce CMS: Wordpress, Custom CMS Development in Asp.net Designing Tools: Figma, Adobe XD, Adobe Photoshop, Adobe Illustrator

🚀 What I Help Businesses Do: ✔ Automate operations using AI (Claude, MCP, AI workflows, integrations) ✔ Build SaaS platforms from idea to production ✔ Replace manual processes with smart systems ✔ Improve performance, scalability, and cost efficiency ✔ Integrate APIs, third-party systems, and automation tools Technical decisions are business decisions. My goal is to help you scale your product’s impact without scaling your burn rate. 1. Share your business scaling challenges. 2. Get practical solutions within 2 weeks. 3. Achieve up to a 5× business impact. 🧩Core Expertise : - Generative AI & LLMs: LangChain, LangGraph, LlamaIndex, LangSmith, HuggingFace, OpenAI (GPT-4, GPT-3.5), Mistral7B, Gemini, Stable Diffusion, Midjourney - RAG & AI Agents: Retrieval-Augmented Generation, semantic search, multi-agent workflows, Model-Code-Pipeline (MCP) servers, autonomous task orchestration - Automation & Orchestration: n8n, custom workflow automation, SaaS integrations, API-based pipelines for business process optimization - Computer Vision & Image Processing: Object detection (YOLO, SSD, R-CNN), image segmentation (Mask R-CNN), OpenCV, transfer learning, fine-tuning pre-trained models - Cloud & Deployment: Azure, AWS, GCP, Docker, CI/CD pipelines for scaling AI systems across distributed environments - Full-Stack AI Applications: Backend APIs (.NET Core, Node.js, Python FastAPI), frontend dashboards (React, Angular, Blazor), real-time interfaces for AI-driven insights 💡 My Approach : 1. Problem Discovery – Understand business goals, data constraints, and end-user requirements. 2. AI Architecture Design – Choose the right models, frameworks, and pipelines for scalable performance. 3. Development & Integration – Build AI-driven features integrated with existing products or new applications. 4. Deployment & Monitoring – Deliver production-ready systems with continuous improvement loops. If you’re building the next generation of AI-driven platforms, I can help architect, build, and scale it. 📅Let’s schedule a meeting to discuss how AI can transform your project.