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You will get React JS -React Developer -Next JS -Frontend Developer | Tailwind CSS | MUI
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Project details
React.js Development, Next.js Development, React.js Bug Fixing, Front-End Development, JavaScript Development, React.js UI/UX Design Implementation, React Code Fixing & Optimization, React Bootstrap, MUI, Tailwind CSS
With a strong passion for creating dynamic and high-performance web experiences, I specialize in building robust and responsive applications that make a lasting impression. Whether you need a sleek, user-friendly interface or a feature-rich platform, I have the expertise to bring your vision to life.
React.js Expert | Next.js Expert
-I’ll transform your Figma, Adobe XD, or PSD designs into fully functional React.js applications.
-Expect clean, well-structured code that is easy to maintain, scalable, and understandable.
-I deliver unforgettable web experiences on time and within your budget.
Browse my portfolio to explore a range of projects powered by React.js and Next.js. From single-page applications to comprehensive web platforms, each project highlights my commitment to excellence, innovation, and the latest technologies.
Let’s build something amazing react application! Contact me today to get started.
With a strong passion for creating dynamic and high-performance web experiences, I specialize in building robust and responsive applications that make a lasting impression. Whether you need a sleek, user-friendly interface or a feature-rich platform, I have the expertise to bring your vision to life.
React.js Expert | Next.js Expert
-I’ll transform your Figma, Adobe XD, or PSD designs into fully functional React.js applications.
-Expect clean, well-structured code that is easy to maintain, scalable, and understandable.
-I deliver unforgettable web experiences on time and within your budget.
Browse my portfolio to explore a range of projects powered by React.js and Next.js. From single-page applications to comprehensive web platforms, each project highlights my commitment to excellence, innovation, and the latest technologies.
Let’s build something amazing react application! Contact me today to get started.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
PSD to HTML, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$140
|
Standard
$950
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 3 | 8 | Unlimited |
Number of Pages | 1 | 5 | 10 |
Design Customization | |||
Content Upload | |||
Responsive Design | |||
Source Code |
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AZ
Asad Z.
Oct 1, 2025
Mission Impossible? My Senior Programmers Couldn’t Fix This — Can You? (Python + LLM)
Job well done. Muhammad is a talented AI full stack developer who quickly understood our complex requirements. His problem-solving skills and technical expertise brought our AI project to life with excellent results. Highly recommended to everyone!
About Muhammad
Fractional CTO | Agentic AI Architect|VectorDB,RAG,ML| Fintech & HIPPA
100%
Job Success
San Diego, United States - 11:03 pm local time
I partner with VC backed startups and scale‑ups across Fintech, Healthcare, GovTech, Real Estate, Logistics to design, ship, and scale:
🤖 Non‑hallucinating AI agents (LangGraph state machines, contextual memory, retrieval‑augmented reasoning)
📊 Data platforms (ETL/ELT, data lakes, warehouses, streaming)
🧩 Microservices (Kafka, RabbitMQ, gRPC, Docker, K8s, service mesh)
🔒 Compliant systems (HIPAA, SOC2, PCI DSS, GDPR)
What I’ve Delivered (with metrics)
Anti‑hallucination agent Built LangGraph agents with contextual response validation – reduced hallucination rate by 70% (measured via LLM‑as‑judge + human eval).
EHR web + mobile Live in 18+ US clinics – microservices (Node.js, Python, Kafka) + ETL (Airflow → Snowflake) for HIPAA‑compliant reporting.
Multi‑agent AI platform LangGraph + LangChain + vector/vectorless RAG. Hallucination fixes using graph‑based state, tool‑use verification, and context windows.
Singapore Government‑funded AI Led architecture – real‑time ETL from government APIs to vector store, served via serverless microservices.
Fintech fraud detection Real‑time ML pipeline (Kafka → Spark → PyTorch). ETL (dbt, Airflow) for feature engineering. Microservices for fraud scoring (<50ms).
How I Fix Agent Hallucination (The LangGraph + Contextual Agent Way)
Most AI agents hallucinate because they lack stateful reasoning and grounded context. My approach:
✅ LangGraph state machines – Every agent response passes through validation nodes (fact‑check, contradiction detection, confidence scoring).
✅ Contextual agent responses – Agents maintain a working memory of previous exchanges, retrieved docs, and tool outputs – no blind guessing.
✅ Tool‑use verification – If an agent calls a tool, the response must cite the tool's output; otherwise, it's rejected.
✅ Retrieval‑augmented generation (RAG) with reranking – Hybrid vector + keyword search, plus cross‑encoder reranking to ensure only relevant context reaches the LLM.
✅ Hallucination guardrails – Custom LLM‑as‑judge that flags unverifiable claims, plus fallback to "I don't know" or a request for clarification.
Result: Agents that admit uncertainty, cite sources, and avoid making up facts – critical for healthcare, fintech, and regulated environments.
Technical Arsenal – Every Corner Covered (Now with Hallucination Mitigation)
🤖 AI / ML / GenAI (Anti‑Hallucination Focus)
Agent Orchestration: LangGraph (stateful graphs), LangChain, AutoGen, CrewAI
Hallucination Mitigation: LLM‑as‑judge, self‑check (SelfCheckGPT), fact‑grounding, contradiction detection, confidence calibration
Contextual Agents: Working memory (Redis/PostgreSQL), tool‑use verification, source citation, uncertainty handling
RAG (Vector): Chroma, Pinecone, Qdrant, Weaviate, FAISS, pgvector
RAG (Vectorless): BM25, TF‑IDF, hybrid search, SQL‑based, graph RAG (Neo4j, Neptune)
LLMs: GPT‑4o, Claude 3.5, Gemini, Llama 3 – fine‑tuning, prompt engineering, guardrails, quantization
ML Frameworks: PyTorch, TensorFlow, Scikit‑learn, XGBoost
MLOps: MLflow, Weights & Biases, Feast, model monitoring (drift, hallucination metrics)
📊 Data Engineering & ETL Pipelines
Orchestration: Airflow, Prefect, Dagster, AWS Step Functions
ETL/ELT: dbt, Spark, Flink, AWS Glue, Google Dataflow
Warehouses: Snowflake, BigQuery, Redshift, Databricks
Data Lakes: Delta Lake, Apache Iceberg, AWS Lake Formation
Streaming: Kafka, Kinesis, RabbitMQ, Pub/Sub
🧩 Microservices & Distributed Systems
Frameworks: Node.js (Nest.js), Python (FastAPI), Java (Spring Boot), Ruby on rails
Communication: REST, gRPC, GraphQL, message queues (Kafka, SQS, RabbitMQ)
Service Mesh: Istio, Linkerd (mTLS, retries, circuit breakers)
Resilience: Retry, timeout, circuit breaker, bulkhead, Saga (Temporal, Step Functions)
Idempotency & Event Sourcing – exactly‑once semantics
Backend, Frontend, Mobile, DB, Cloud, DevOps, Security, Testing
(Same as previous comprehensive list – preserved but omitted here for brevity; full version available on request)
🔒 Compliance (where hallucination is unacceptable)
HIPAA, SOC 2, PCI DSS, ISO 27001, GDPR, CCPA, GLBA – with audit trails for agent decisions
Why Clients Hire Me (Unique Angle)✅ Hallucination is not an option – I've fixed it numerous times using LangGraph + contextual agents. Your agents will say "I don't know instead of making things up.
✅ End‑to‑end data + AI – ETL pipelines feeding both BI dashboards and real‑time ML models.
✅ Microservices done right – Proper service boundaries, resilience, observability, sagas.
✅ Corner cases covered – Idempotency, exactly‑once, partial failures, backpressure, and now hallucination.
✅ Compliance from day one – HIPAA audit logs, PCI tokenization, GDPR deletion
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
I’ll transform your Figma, Adobe XD designs into functional React.js app
You give me the design assets and i will convert them to react website(Front end only).