You will get MERN Stack Developer | Node.js, React, MongoDB, Full-Stack Solutions
Project details
I will work as your Senior MERN Stack Developer to build scalable, secure, and high-performance full-stack applications using Node.js, React, Express, and MongoDB.
Whether you need a new web app, SaaS platform, backend APIs, or feature enhancements, I deliver production-ready solutions with clean architecture and long-term scalability in mind.
What you get:
➤ Full MERN stack web development
➤ Scalable backend APIs with Node.js & Express
➤ Modern React frontend
➤ MongoDB data modeling & optimization
➤ Secure authentication & business logic
➤ Clean, maintainable, and well-documented code
🎁 Free Bonus: I’ll review your requirements and suggest the best MERN architecture before we start.
📩 Share your idea or existing system to get started
Whether you need a new web app, SaaS platform, backend APIs, or feature enhancements, I deliver production-ready solutions with clean architecture and long-term scalability in mind.
What you get:
➤ Full MERN stack web development
➤ Scalable backend APIs with Node.js & Express
➤ Modern React frontend
➤ MongoDB data modeling & optimization
➤ Secure authentication & business logic
➤ Clean, maintainable, and well-documented code
🎁 Free Bonus: I’ll review your requirements and suggest the best MERN architecture before we start.
📩 Share your idea or existing system to get started
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included $199
These options are included with the project scope.
$199
- Delivery Time 2 days
- Number of Revisions 1
51 reviews
(48)
(1)
(1)
(1)
(0)
This project doesn't have any reviews.
MD
Myre D.
Apr 17, 2026
AI SaaS Developer – Agenic AI
IN
Ian N.
Feb 23, 2026
Video AI Voice
MM
Majid M.
Jan 19, 2026
Generative AI / LLM Engineer
Danish Faiz was great to work with. He really knows his stuff with RAG, prompt engineering, and LangChain, and he built a solid, production-ready LLM setup for us. He was thoughtful about reliability, latency, security, and cost, and the integration into our existing stack was smooth with clean APIs and good logging/testing. Communication was clear throughout, and he delivered a prototype we could measure and iterate on quickly. Highly recommended.
ZR
Zachary R.
Feb 12, 2025
Voice Chatbot Integration with Twilio and GoHighLevel
JB
Jason B.
Feb 8, 2025
Edge Yolo Video stream
About Danish
Expert AI Developer | SaaS | MVP, RAG, LLM, AI Chatbot, ML | NLP
100%
Job Success
Islamabad, Pakistan - 6:18 pm local time
Today, many organizations are adopting Generative AI, yet most AI initiatives remain experimental. Systems work in demos but struggle under real traffic, unpredictable prompts, scaling demands, cost pressure, and security risks like prompt injection or data leakage. What businesses truly need is not just AI integration but stable architecture, evaluation pipelines, and secure deployment that aligns with business performance.
That is where I provide value.
I am 𝗗𝗮𝗻𝗶𝘀𝗵, a Senior AI and Backend Engineer focused on building production ready AI systems powered by LLMs, Retrieval Augmented Generation, and intelligent agent orchestration. My work is centered on reliability, measurable impact, structured testing, and scalable cloud architecture.
𝗛𝗼𝘄 𝗜 𝗗𝗲𝘀𝗶𝗴𝗻 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀
Every system I build is engineered for real world performance.
➤ Scalable LLM agent systems with tool and function calling
➤ Retrieval Augmented Generation pipelines using hybrid search
➤ Secure execution layers with prompt injection defense
➤ Structured evaluation frameworks and regression testing
➤ Observability with tracing, logging, and cost monitoring
➤ Low latency API design using FastAPI and async patterns
➤ Cloud native deployment optimized for performance and scale
For RAG systems, I carefully design embedding workflows, chunk strategies, retrieval pipelines, vector storage architecture, and response validation layers to ensure high answer accuracy.
For AI agents, I architect multi agent systems that integrate cleanly with CRMs, SaaS platforms, recruiter workflows, and enterprise automation systems while maintaining reliability and structured outputs.
𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻
With a background in Robotics and Computer Engineering, I approach AI systems as full stack infrastructure problems rather than isolated model integrations.
𝗢𝘃𝗲𝗿 𝘁𝗵𝗲 𝘆𝗲𝗮𝗿𝘀, 𝗜 𝗵𝗮𝘃𝗲 𝘀𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹𝗹𝘆 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱:
➤ Enterprise RAG knowledge assistants integrated with internal tools
➤ AI voice agents for recruiter outreach with SMS workflows
➤ Production LLM backends with evaluation and guardrails
➤ Secure document search and QA platforms
➤ CRM integrated AI automation systems
➤ Observability pipelines for large language model systems
Each solution was built with logging, monitoring, structured testing, and cost optimization from day one.
𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲
➤ Generative AI architecture
➤ Large Language Model integration
➤ Retrieval Augmented Generation implementation
➤ LLM agent orchestration and workflow automation
➤ Prompt engineering and response validation
➤ LLM evaluation and quality assurance
➤ AI observability and telemetry integration
➤ Secure AI backend development
➤ API development with FastAPI
➤ Microservices and async architecture
➤ Vector database configuration and hybrid search
𝗥𝗲𝗰𝗲𝗻𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀
I recently designed a scalable RAG system for a CRM lead generation platform that significantly improved response relevance and automated internal document retrieval using hybrid search and structured embeddings.
Built an AI voice agent for recruiter outreach integrated with messaging automation that streamlined candidate engagement and automated screening logic.
Architected an LLM platform with evaluation pipelines, structured logging, tracing, and performance monitoring to ensure consistent response quality under production workloads.
Every project included testing layers, cost control logic, and optimized latency tuning.
𝗧𝗼𝗼𝗹𝘀 𝗮𝗻𝗱 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀
➤ Python, FastAPI, Node js, TypeScript
➤ LangChain, LLM agents, Generative AI systems
➤ Pinecone, Weaviate, Qdrant, OpenSearch Vector
➤ Amazon Web Services including Lambda and API Gateway
➤ Cloudflare Workers AI and edge deployments
➤ LangSmith, OpenTelemetry, PromptLayer
➤ OWASP aligned AI security practices
𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗜 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵
➤ SaaS product teams building AI native platforms
➤ Enterprise automation initiatives
➤ Recruitment and HR technology platforms
➤ CRM and sales enablement systems
➤ Web3 and blockchain applications
➤ Knowledge management and internal search systems
➤ Data driven SaaS products
➤ Applied AI and robotics startups
𝗠𝗲𝘀𝘀𝗮𝗴𝗲 𝗺𝗲 𝘁𝗼 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝘆𝗼𝘂𝗿 𝘀𝘆𝘀𝘁𝗲𝗺 𝗱𝗲𝘀𝗶𝗴𝗻 𝗮𝗻𝗱 𝗿𝗼𝗮𝗱𝗺𝗮𝗽. 𝗜 𝗿𝗲𝘀𝗽𝗼𝗻𝗱 𝗾𝘂𝗶𝗰𝗸𝗹𝘆 𝗮𝗻𝗱 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵 𝗲𝘃𝗲𝗿𝘆 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝘄𝗶𝘁𝗵 𝗰𝗹𝗲𝗮𝗿 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗮𝗻𝗱 𝗺𝗲𝗮𝘀𝘂𝗿𝗮𝗯𝗹𝗲 𝗼𝗯𝗷𝗲𝗰𝘁𝗶𝘃𝗲𝘀.
Steps for completing your project
After purchasing the project, send requirements so Danish can start the project.
Delivery time starts when Danish receives requirements from you.
Danish works on your project following the steps below.
Revisions may occur after the delivery date.
Share requirements