I'm a senior full-stack developer with 8 years of Java backend experience, specializing in IoT and FinTech solutions. I've architected multiple systems from 0 to 1, and I'm passionate about leveraging AI-powered development tools (Cursor, Codex, OpenCode) to accelerate delivery without compromising quality. What I bring to your project: Backend: Spring Boot, Spring Cloud, Microservices, MyBatis, Kafka, MQTT, Redis Frontend: Vue.js (full-stack capability) Deep expertise: MySQL performance tuning, JVM optimization, high-concurrency multithreading DevOps: Docker, Linux, familiar with Hadoop/HBase ecosystem Security: OWASP Top 10 defense, SQL injection/XSS prevention, code-level zero-day protection Full project management from start to finish. Regular communication is important to me, so let’s keep in touch.

I am a experienced developer with various language. I can easily switch between language, new language also I am mainly working with Java, C# and Go, as a backend developer, as a mobile developer, I working with xamarin and Android native I have deep understanding about mobile technologies, like push notification, firebase, etc I have strong logic and good problem solving

I help founders and operators build practical AI second brains. I connect agents to the places your real business lives: Gmail, Google Drive, WhatsApp, Discord, PDFs, spreadsheets, notes, and messy folders. Then I turn that context into searchable memory, CRM-style records, and workflows that help you retrieve facts, draft replies, track relationships, and take action. 25+ years in distributed systems, data platforms, cloud, blockchain, DeFi, and startup engineering. I build agentic systems that are useful in the real world, not generic chatbot demos.

Senior Java Engineer with 10+ years of experience specializing in high-concurrency distributed systems and mission-critical Fintech architectures. I offer full-lifecycle development, from architecting complex backends to deploying scalable solutions and building functional frontends. Core Technical Arsenal: Backend Mastery: Expert in Java (JVM/IO/Multi-threading), Spring Cloud, MyBatis, and Spring AI integration for modern LLM-driven applications. Fintech & Payments: Deep experience in payment gateways and voucher systems, ensuring 100% transactional integrity and consistency. Database & Performance: Advanced MySQL tuning and distributed caching strategies (Redis) for high-load environments. Frontend Knowledge: Proficient in building modern, responsive administrative dashboards and internal tools to support backend services. DevOps & Maintenance: Strong Linux skills, log analysis, and system monitoring. I can handle independent project deployment and ensure 24/7 stability. Why Hire Me? I am an independent problem solver. Whether it's a deep-seated JVM leak, a complex financial reconciliation logic, or deploying a complete SaaS prototype from scratch, I can deliver it without needing a large team. Current Promotion: I am a veteran in the industry but new to Upwork. To build my initial platform reputation, I am currently offering expert-level architectural and development services at highly competitive introductory rates. Let’s turn your vision into a production-ready reality!

I help companies build AI products and coach teams to work effectively with AI. I'm a product leader and AI leadership coach who's spent the last decade launching products at companies like Capital One and leading AI product development at Mach49, where I built ShiftAI's product suite for new venture building from the ground up. What I do: * AI Leadership Coaching: I teach professionals to work with AI through hands-on practice, not theory. My clients learn by doing real work together with AI, developing practical skills they use immediately. * AI Product Management: I lead product development for AI-first solutions, from strategy through launch. I've managed AI teams building software products and understand both the technical constraints and the product opportunities. What makes me different: * I'm building AI products myself (currently: Rekindl, an oral history platform, and Context Wisdom, a knowledge preservation system for industrial operations) * I have experience across B2C, B2B, and B2B2C contexts * I focus on making AI work in practice, not just in presentations I'm best suited for: * Companies launching their first AI products * Teams struggling to integrate AI effectively into their workflow * Product leaders who need strategic guidance on AI implementation If you need someone who understands both the product side and the execution reality of AI, let's talk.

🥇 10+ year experienced Data and Cloud Engineer(AWS, Azure) who has built and designed entire ETL pipelines and Visualization using Power Bi for large banks and pharmaceutical clients handling terabytes of data. Whether you are looking to create pipelines to handle huge volume of data, migrating from other legacy systems to cloud, creating visualizations or optimizing an existing pipeline, I can help. 1. Knows Data Engineering, Big Data, Cloud(Azure, AWS), Databricks, Snowflake, SQL, Data Visualization, PowerBi 2. Full project management from start to end. 3. Regular effective communication to keep everyone update.

Senior AI Full Stack Engineer with 10+ years of experience designing and delivering scalable enterprise software, AI-powered applications, and cloud-native platforms across SaaS, Healthcare, FinTech, Logistics, and Marketplace industries. I specialize in building production-ready AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector embeddings, semantic search, prompt engineering, and intelligent workflow automation. My recent work focuses on integrating Generative AI into enterprise products to improve knowledge retrieval, automate business processes, and enhance user experiences. Beyond AI, I have extensive full-stack engineering experience across React, TypeScript, Node.js, Python, FastAPI, Java, Spring Boot, C#/.NET, PostgreSQL, MongoDB, Redis, AWS, Azure, Docker, Kubernetes, and modern CI/CD practices. I enjoy architecting scalable systems, optimizing application performance, and mentoring engineering teams while delivering secure, high-quality software. Throughout my career, I've contributed to enterprise platforms supporting thousands of users, built machine learning and computer vision solutions, and evolved into developing production AI systems that solve complex business problems with measurable impact. Core expertise: • Generative AI & LLM Applications • Retrieval-Augmented Generation (RAG) • AI Workflow Automation • Machine Learning & Computer Vision • Full Stack Architecture • Cloud-Native Development • Enterprise SaaS Platforms • API & Microservices Architecture • Performance Optimization • Engineering Leadership & Mentorship

A Senior Software engineer with a total of 7 years experience in building and integrating .net applications, database management and optimizing data pipelines that analyze and maintains large, rapidly growing datasets. Currently involved in developing, managing and maintaining elasticsearch clusters.

17+ Years of experience in Software Product Development, I have great interest in technologies, I am always keep myself aware of new technologies and learn them to apply in Project for better quality and performance. Worked in product based company for 17 years, With good experience in Core Java, Spring Boot and RESTful Java backend & Angular and React frontend. Deployed and manage various applications on AWS and Google Cloud Worked on DBMS with exposure of mysql, postgres, oracle and mongodb. Quick learner of new technology, Leveraging docker container with kubernetes to deploy and manage applications. Good knowledge familiar with SVN, CSV, Perforce and Git version control repo.

Core Java & Frameworks Proficient in Java SE/EE (Java 8+), including lambda expressions, streams, collections, and concurrent programming (e.g., ThreadPoolExecutor, CompletableFuture). Experienced with Java frameworks: Spring Boot (for microservices), Spring Cloud (service discovery, config), and MyBatis/Hibernate (ORM for database interaction). Familiar with build tools like Maven and Gradle for dependency management and project packaging. 2. Data Processing & Pipelines Skilled in data integration tools: Apache Kafka (real-time data streaming) and Apache Flink/Spark (distributed batch/stream processing with Java APIs). Able to design ETL (Extract, Transform, Load) workflows using tools like Talend or custom Java code to clean, standardize, and load data into data warehouses. Knowledge of data serialization formats: JSON, Avro, Protobuf, and Parquet for efficient data storage and transmission. 3. Data Storage & Databases Expertise in relational databases: MySQL, PostgreSQL, and Oracle (writing optimized SQL, indexes, and stored procedures). Familiar with NoSQL databases: MongoDB (document storage), Redis (caching/real-time data), and HBase (distributed columnar storage for big data). Experience with data warehouses: Apache Hive and ClickHouse for large-scale data analytics and querying. 4. DevOps & Deployment Proficient in containerization and orchestration: Docker (container packaging) and Kubernetes (cluster management for microservices). Skilled in CI/CD pipelines: Jenkins, GitLab CI, or GitHub Actions for automated building, testing, and deployment. Knowledge of monitoring tools: Prometheus and Grafana (for system metrics) and ELK Stack (Elasticsearch, Logstash, Kibana) for log analysis. 5. Data Governance & Quality Understand data governance principles: data modeling (e.g., ER/ dimensional modeling), metadata management, and data lineage tracking. Able to implement data quality checks (e.g., completeness, accuracy) using Java-based validators or tools like Great Expectations. Familiar with data security practices: SSL/TLS for data encryption, role-based access control (RBAC), and compliance with standards like GDPR/ISO 27001.