I build AI systems that work in production - not just in demos. With 8+ years in AI/ML and enterprise software, 2000+ hours on Upwork, 200+ solutions delivered, and 300+ clients across the globe, I've earned a simple reputation: if you need intelligent automation, a custom LLM application, or a scalable ML pipeline, I'll build it, ship it, and make sure it holds up. I work across the full AI stack: from raw data ingestion and model training to fine-tuning LLMs, deploying RAG architectures, and integrating everything into production-grade systems. Whether the project lives on AWS (Bedrock, SageMaker, Textract, Comprehend), Google Cloud (Vertex AI), or runs locally (Ollama, LLaMA, DeepSeek), I build for the environment that fits your business, not the one that's easiest for me. ➛ 𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗠𝗟𝗢𝗽𝘀 & 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗠𝗟 End-to-end ML pipelines with MLflow, SageMaker, and Azure ML. Model training, fine-tuning, versioning, and monitoring. TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost. Deep learning, neural networks, and Diffusion Models. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗟𝗟𝗠 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 Custom GPTs, AI agents, and RAG pipelines using OpenAI, Claude, LLaMA, Mistral, and DeepSeek. LLM fine-tuning with LoRA/QLoRA. Prompt engineering (zero-shot, few-shot, chain-of-thought). Multi-agent systems with LangChain and LangGraph. Deployed on AWS Bedrock, Vertex AI, or self-hosted via Ollama/Supabase. 𝗗𝗮𝘁𝗮 & 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 Data mining, web scraping, and pipeline engineering with Pandas, NumPy, and Python. Business intelligence and analytics with Amazon QuickSight. NLP with Amazon Comprehend, BERT, SpaCy, Transformers - text classification, sentiment analysis, entity recognition, content generation. 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 & 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 OCR and document processing with Amazon Textract, Azure Computer Vision, OpenCV, and Tesseract. Image recognition, face detection, and vision-based automation. Stable Diffusion and generative image workflows. 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗜 & 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 AI assistants and knowledge-base chatbots. Context-aware conversation systems integrated via API. GoHighLevel automation and CRM-connected AI workflows. Amazon Translate for multilingual deployments. 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗰𝗼𝗺𝗲 𝗯𝗮𝗰𝗸 Most AI projects fail at the handoff from prototype to production. I've spent a decade closing that gap, writing systems that are maintainable, monitored, and built to scale beyond the first deployment. - Production-first architecture from day one - Strong documentation and clean, handoff-ready code - Experience across AWS, Azure, GCP, and open-source stacks - Clear communication throughout, no black boxes - On-time delivery with post-launch accountability 𝗘𝘃𝗲𝗿𝘆 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗶𝗻𝗰𝗹𝘂𝗱𝗲𝘀: - 1 month post-delivery support - 1 month warranty on all deliverables - Dedicated technical consultation If you're building an AI product, automating a complex workflow, or turning your data into something that actually makes decisions, let's talk. I'll tell you in the first conversation whether it's feasible, how long it takes, and what it'll cost.

Welcome and thanks for coming here. I'm interested in a relationship based on trust, understanding and easy of communication. I am only interested in delivering quality results and looking for clients and projects that highly value this. I've passed bachelor exams at the College of Informatics and then graduated the State University of Moldova as a Programming Engineer. I am developing websites for more than 14 years and in the past 11 years I've specialized in Drupal. Main Technical skills : Drupal, PHP, Mysql, CSS, JS, Ajax, Jquery, Photoshop. Drupal experience: custom modules, theming, multilingual, ecommerce, drush, bootstrap, debugging. Other technologies: GIT, API, Elastc Search, SASS,LESS, Linux, Grunt, Bitbucket, _Slack. Analytical skills : complex problem solving , high algorithmic and mathematical thinking. Personal qualities: responsible, honest, hardworking, respectful, communicative, attentive to details, friendly, sense of humor.

🔥8+ years of Experience . 🔥 100% Job Success Rate 🔥 I have worked in enterprise cloud solutions which had 5000+ tables, 500GB+ database, 1 MILLION active users. I know optimization techniques like static caching, in-memory caching, indexing, sharding, load balancing, reverse proxy. I do realize the importance of Design Patterns and Software Practices and I follow DRY, KISS in my code. 🔥 I am a highly motivated full stack developer and I have been working in the field of development for 10+ years, with creative and unique ideas to produce high quality productive results for my clients worldwide. 🔥 You can see that I have completed several long-term projects on Upwork and got 5-star reviews - all of my clients were highly satisfied with the job I've performed. I'm skilled in the following technologies: ✅ PHP (Symfony 2.*, 3.*, 4*, 5.*, 6.*) ✅ Laravel 5,6,7,8,9,10,11 ✅ Angular, Vue Js, React Js ✅ WordPress, Shopify ✅ HTML, CSS, jQuery, Bootstrap ✅ MySQL, PostgreSQL, MongoDB ✅ JavaScript and its frameworks including React.js, Vue.js, Angular2+, Typescript, Node Js ✅ Amazon cloud services (Route 53, SES, EC, RDS, EC2, IAM, CLI, Elastic Beanstalk, Code Pipeline) ✅ Configure Apache and Nginx on Linux server ✅ GitHub, Bitbucket, GitLab ✅ Expert with third party APIs such as Social media integration, Payment gateway, Twilio, WhatsApp, Google API etc. ✅ Machine Learning: OpenAI, ChatGPT, GPT-3, GPT-4, Langchain. I am eager to work with you, solve your problem, and give the best solutions for you and your Business. Don't hesitate to contact me anytime(24X7) to discuss how we can work together to meet your Business Needs fully! I'm flexible in all time zone and am happy to work closely with any existing freelancers you work with.

Senior Software Engineer & Architect | 12+ Years | Top 1% Upwork | Expert Vetted 12+ years building backend systems and full-stack products for startups and enterprises. Top 1% Upwork freelancer, Expert Vetted. I solve complex technical challenges: $18M/year saved for Time Doctor, 8M+ users scaled at Zenius, 40+ provider integrations for Wego. I focus on scalable architecture, modern stack, and on-time delivery. What I bring to your project • Modern backend: Node.js/TypeScript, Nest.js, Go/Gin, Java/Spring Boot — microservice architecture, event-driven design, serverless (AWS Lambda, GCP), gRPC, message queues (NATS, Kafka, Redis Pub/Sub), parallel/concurrent processing. • Scalable data: PostgreSQL, MongoDB, Elasticsearch, Redis; ETL, time-series, analytics; database tuning, sharding, caching, parallel queries. • Cloud & DevOps: AWS, GCP, Digital Ocean; Docker, Kubernetes, Terraform; CI/CD; monitoring (Datadog, Sentry). • AI & automation: LLM integrations (OpenRouter), AI-assisted tooling (Cursor, CodeRabbit), custom AI agents and RAGs, workflow automation (n8n), ML/TensorFlow, voice-driven systems (Google AI Services). • Frontend: React, Angular, Vue; TypeScript, Redux, real-time (WebSockets, SocketIO, SSE); responsive and PWA-ready UIs. • Payments & integrations: Payment gateways (Stripe, Paddle, MangoPay, Upvest), third-party APIs, webhooks, and secure auth (OAuth2, JWT). • Multi-tenant & complex B2B systems: Tenant isolation, row-level security, RBAC, and strict data segregation per tenant; designed and delivered multi-tenant platforms (e.g. ticketing, fleet/ops, SaaS) with role-based access, real-time sync, and per-tenant visibility, so different orgs or depots get the right data and permissions. • Enterprise & compliance: GDPR, HIPAA, SOC 2, ISO 27001; enterprise security, encryption, audit trails, multi-region deployments. • Leadership & project management: Leading teams, converting business to technical requirements, architecture decisions, code reviews, agile methodologies, technical documentation. Proven outcomes • Time Doctor (USA): Legacy payment migration to Paddle; Nest.js microservices, GCP, Pub/Sub; $18M/year saved, 9-month delivery, 24/7 monitoring. • Zenius (Indonesia): LMS and infra for 8M+ users; Kafka, GraphQL, Neo4j, sharding and caching; new revenue stream (Zencore). • Wego (Dubai/Malaysia): Hotel metasearch; 40+ providers, ETL, WebSockets, gRPC, NATS; real-time pricing and search. • Exporo (Germany): Fiat + crypto payment; FSM (XState), RxJS, AWS serverless. • BRTC (Bangladesh): Multi-tenant ticketing; Nest.js, React admin, Android POS, real-time sync. • Accordium (Malaysia/Denmark): First SaaS version; React, Java/Spring Boot, CQRS; helped secure Series B funding. • Movingwalls (Malaysia): First DOOH booking platform; IoT data pipeline, real-time analytics, D3.js. • BigWIFI (Canada): Customer engagement platform; Nest.js, real-time diagnostics, live IT support marketplace. • Suprema/Biostar 2 (South Korea): Performance optimization; 1TB+ time-series data migration, Node.js refactoring, Karate test automation. • CapitakDK (Malaysia): Voice-driven AI system for Oil & Gas; Google AI Services, ML, GraphQL. I focus on clean architecture, event-driven and microservice patterns, and production-grade observability. I’ve led and mentored engineers, written technical docs, and delivered for clients in the USA, Europe, and Asia. Delivering on time and leaving a maintainable codebase is how I work. Why clients choose me • Results-driven: I focus on outcomes, not just code. Every project delivers measurable business impact. • On-time delivery: I've never missed a deadline. I communicate clearly, set expectations, and deliver what I promise. • Clean code: I write maintainable, well-documented code following best practices. Your team can take over seamlessly. • Scalable architecture: I design systems that grow with your business. Microservices, event-driven patterns, proper database design. • Full ownership: I handle backend, integrations, infrastructure, and documentation. I mentor teams and write technical docs. • Global experience: Worked with clients across USA, Europe, and Asia. Comfortable with remote collaboration and different time zones. Tech snapshot Languages: TypeScript/JavaScript, Go, Java, Python, PHP | Backend: Nest.js, Express, Spring Boot, Gin | GraphQL, REST, gRPC Data: PostgreSQL, MongoDB, Elasticsearch, Redis, Neo4j, DynamoDB | Cloud: AWS, GCP, Digital Ocean DevOps: Docker, Kubernetes, Terraform, CI/CD, Datadog | Real-time: WebSockets, SocketIO, SSE, MQTT AI/ML: OpenRouter, Cursor, CodeRabbit, custom AI agents, RAGs, n8n, TensorFlow | Architecture: DrawIO, Lucidchart, PlantUML, Mermaid, C4 Model Project Management: Jira, Trello, Asana, Linear, Notion | Other: Kong, OAuth2, JWT, IoT, blockchain, React Native Let’s build something that scales and ships.

I design and build AI-powered backend systems, intelligent AI agents, and automation platforms that help businesses reduce manual work and scale efficiently. With 6+ years of experience in backend engineering and cloud infrastructure, I specialize in building secure, scalable, production-ready systems — from architecture to deployment. 💡 Services I Offer ✔ AI Agents (task automation, decision workflows, assistant systems) ✔ AI Automation & OpenAI integrations ✔ Custom Django & Python backend development ✔ REST & GraphQL API architecture ✔ SaaS product backend systems ✔ Cloud infrastructure & DevOps automation ✔ CI/CD pipelines & deployment optimization 🧠 Core Technologies Backend: Python, Django, Django REST Framework, FastAPI AI & Automation: OpenAI APIs, workflow systems, API integrations Databases: PostgreSQL, Redis, MongoDB Cloud: AWS, GCP, DigitalOcean DevOps: Docker, Kubernetes, Terraform, GitHub Actions Servers: Nginx, Linux 🎯 My Approach • Automation-first system design • Scalable, clean architecture • Cloud-native deployment • Secure, high-performance infrastructure I’ve worked with startups and growing businesses in healthcare, e-commerce, and finance — delivering reliable systems built for long-term growth. If you need someone who can build both the AI brain (agents & automation) and the scalable backend backbone, I’m ready to help.

I am a Splunk Certified Architect. I have experience in capacity planning, deploying, configuring, and managing Splunk Env. And I have a proven record of providing 99.9% SLA of Splunk Env. And good at troubleshooting issues of Splunk Env, Universal Forwarders, etc. And as I am also a Splunk Certified Developer. I have good hands-on on creating complex Splunk dashboards using HTML, XML, Tokens, custom Javascript to make Splunk Dashboard more dynamic. And creating and optimization of Splunk Queries. Also, I have developed various Splunk Add-on and Apps and some of them are also published on SplunkBase. Apart from Splunk, I have a good understanding and grip on AWS and its various services, Jenkins, Git, Python, Shell Script, Automation, Ansible.

I'm Faraz, a senior full-stack developer with 15+ years building and maintaining production systems for startups, SaaS companies, and growing businesses. As a full-stack developer I work across backend architecture, API development, AI integrations, and automation, helping clients ship features, fix what's broken, and build systems that hold up under real traffic. My backend stack centers on Node.js, NestJS, and Python. As a full-stack developer I design and build REST and GraphQL APIs, event-driven services, background job systems, and ETL pipelines that are clean, monitored, and built for production. I also work on the frontend when needed, React and Vue, so I can own a feature end to end without waiting on someone else. I've worked as a full-stack developer across SaaS platforms, admin dashboards, CRM systems, internal tools, logistics platforms, marketplace backends, AI-powered products, and real-time data systems. My work covers backend architecture, third-party API integrations, payment systems, authentication flows, queue management, and performance debugging. I work with PostgreSQL, MongoDB, MySQL, and Redis, designing data models, writing optimized queries, and tracking down the slow queries nobody looked at until they caused an outage. I understand legacy codebases as well as greenfield builds, and I move between the two without needing a ramp-up period. I also work as a full-stack developer on AI integrations, embedding OpenAI and Claude into real business workflows, building RAG pipelines over private data, and connecting LLMs to existing systems in ways that actually reduce manual work instead of just sounding good in demos. On cloud and infrastructure: AWS, GCP, Azure. Docker, CI/CD pipelines, environment hardening. I don't just deploy, I make sure what I ship survives Monday morning. Where I've added the most value as a full-stack developer is in high-stakes situations: production systems under load, broken deployments, memory leaks, race conditions, integrations that stopped working. I'm often hired when "it worked before" stopped being true. If you need a senior full-stack developer who can jump into a complex codebase and actually move things forward, let's talk.

I’m a Rust Software Developer specializing in backend engineering, observability, and distributed systems. My focus is on building high-performance, fault-tolerant, and production-ready solutions that scale seamlessly in fintech, SaaS, and high-traffic environments. My Core Expertise: - Backend Development: Designing and building server applications from scratch using industry-leading frameworks like Axum, Actix-web, and Async-GraphQL. My focus is on writing robust APIs and creating scalable architectures. - Observability & Monitoring: Full-cycle observability with OpenTelemetry, Prometheus, Grafana, and ELK Stack (Elasticsearch, Logstash, Kibana) — ensuring system reliability and fast issue resolution. - Distributed Systems & Messaging: I specialize in building fault-tolerant systems and real-time data pipelines. My experience includes working with Apache Kafka and RabbitMQ for handling high-volume data streams. - DevOps & Cloud: I set up and maintain CI/CD pipelines with Dockerized builds and Terraform, ensuring automated and reliable deployments across major cloud providers (AWS, GCP, Azure, Hetzner). My Technical Toolkit: Languages: Rust (Primary), C++, C#, Python, Kotlin Frameworks: Axum, Actix-web, Async-GraphQL, Tonic, gRPC Databases: Diesel, PostgreSQL, DynamoDB Communication: gRPC, Tonic, GraphQL WebAssembly: I also have experience with Tauri for cross-platform solutions. I'm constantly learning and keeping up-to-date with the latest industry trends and technologies. I’m always looking for ways to improve processes and systems to achieve optimal performance. If you need a Rust backend engineer who can deliver observable, fault-tolerant, and production-ready systems - I’d be glad to help.

I'm Huanqing Zhu, and you can call me Fusion. With over 10 years of hands-on Java development experience—including 6 years dedicated to big data processing and visualization—I’ve built my expertise by staying rooted in frontline coding, even as my responsibilities have grown. A key pillar of my technical toolkit is ‌6 years of production-grade Rust development experience‌, complemented by proficiency in Java, Scala, JavaScript, HTML5, and a full stack of big data and cloud-native technologies: Apache Spark, Hadoop, Hive, Flume, HBase, Storm, Kafka, DataX, ECharts, Docker, Kubernetes, and Linux. What sets me apart is that I’ve never stepped away from writing production code, even as I’ve taken on leadership and architectural roles: As a ‌hands-on Big Data Developer‌, I’ve built robust data ingestion utilities (including the open-source DataXServer on GitHub) and real-time page click analytics systems, directly coding pipelines to pull data from RDBMS, NoSQL databases, and file storage into production environments. As a ‌Big Data Architect‌, I’ve led platform design while still contributing core code, using Hadoop, Spark, Flink, and ElasticSearch to build scalable data infrastructure—no abstract planning here; I’ve written the critical components that power these systems. As a ‌Rust Specialist‌, my 6 years of experience spans building high-performance, low-latency systems. I’ve used Rust to optimize data processing pipelines, cut latency by up to 40% in high-throughput scenarios, and deliver systems that run 24/7 with zero critical errors. As a ‌Team Leader‌, I’ve managed full-stack teams (Java, front-end, QA, operations) while still pairing with developers on complex code reviews and contributing to high-priority features, ensuring I stay connected to the day-to-day challenges of software delivery. I also bring deep experience in microservices architecture and cloud-native containerization, and my cross-language expertise lets me bridge gaps between Java-based enterprise systems and Rust-powered high-performance components. If you’re looking for a professional who combines strategic vision with the grit to deliver production-ready code—someone who can architect a system, and write the Rust or Java code that makes it run—I’m the candidate for you. Thank you for reviewing my profile. I’m eager to discuss how my hands-on experience can add value to your team.

✓ Technology executive specializing in architecting and implementing highly scalable solutions to drive brand awareness, increase revenues, optimize productivity and improve margins. ✓ Overseeing the data, security, maintenance, and network for a company. ✓ Implementing the businesses’ technical strategy and managing the overall technology roadmap of the business. ✓ involved with talent acquisition and its onboarding, training, and management of Project Manager, product Manager, Developers, Devops, Designers. ✓ Setting the technical strategy for the company to enable it to achieve its goals. ✓ Seeking out the current and future technology that will drive the company’s success. ✓ Focus on strategic alignment of technology goals to organizational vision. ✓ Passionately committed to technology team development, empowering people to accomplish their goals and coaching them realize their individual potential. ✓ Proven track-record of success in technology product development, cloud infrastructure,Building Data Platforms, ETL Pipelines, Streaming Pipelines ,e-commerce, CRM ,mobile strategy, and social media integration. I am working from last 8 years with Apache Spark, Lucene, ElasticSeach/Kibana, Amazon EC2.RDBM's(SQL, MySQL, Aurora, PSQL, Oracle), NoSQL engines (Hadoop/HBase, Cassandra,DynamoDB, MongoDB),GraphDB(Neo4j, Neptune) in-memory databases (Hazelcast, GridGain), Apache Spark/MLib, Weka, Kafka, clustered file systems, general-purpose computing on GPU. Deploying the ML DL Models on GPU Instances(Nvidia). Have a great experience in query optimization, application profiling, and troubleshooting. My area of expertise includes: - Python script - Jira,Trello,Azure DevOps - Web scraping - AWS(Redshift, Glue, ECS, EC2, EMR, Kinesis, S3, RDS, VPC, IAM,DMS) - GCP(Big Query, DataFlow, SnowFlow) - Microsoft Azure - Hadoop Big Data - Elasticsearch/Kibana/Logtash(ELK) - Hadoop setup on standalone, Cloudera, and HortonWorks. - SQL like MySQL PostgreSQL - NoSql Database like Hbase and MongoDB - Machine learning - Deep Learning - Spark with Mlib,GraphX - Sphinx - Memcache - MS BI/Tableau/GDS