I am a seasoned software engineer with experience leading projects across diverse sectors, including tech giants and stealth mode startups. As the Founder and Lead Engineer of my own project, I excel in turning innovative ideas into robust software solutions. My experience at companies like a major travel industry leader and a global investment firm has honed my technical expertise and strategic thinking. I specialize in developing scalable applications, optimizing system performance, and driving team collaboration. My unique blend of leadership and hands-on technical skills allows me to deliver high-impact results efficiently. If you are looking for a proactive engineer who can elevate your next project, I’m ready to help you achieve your goals. Let’s connect and discuss how I can bring value to your team.

CKA Certificate. More than 12 years of experience in IT and more than ten years in commercial software development, DevOps, production support. Key Skills: - Turnkey approach development - Architecture + Backend + Frontend + DevOps + Documentation - Cloud micro service architecture (AWS, GCP) - Cost estimates B2B collaboration is available Tech skills: - Java, Golang, Python, NodeJS - React, Angular - Terraform, CloudFormation

I'm a backend developer experienced in building AI-powered applications and big data platforms for enterprise businesses. Whether you need intelligent data query assistants, compliance knowledge bases, or large-scale data integration systems, I can help. Knows Java, Spring AI, Spring Cloud, Python, Rust, Kafka, Spark, Flink, HBase, Elasticsearch, and Docker. Full project management from start to finish. Regular communication is important to me, so let's keep in touch.

Job History Azure Big data Architect Cognizant Technology Solutions Education * Bachelor of Technology (B.Tech) in Information Technology from MCKVIE in 2004 with DGPA of 8.00 (out of 10) Experience Summary * 12 + years of IT experience in Azure Big Data, Spark, Hadoop, Hive, PIG, Sqoop, Hbase, Oozie, Azure Databricks and Microsoft Azure HDInsight. * Worked on multiple Projects on Azure HDInsight, Azure Data Lake Store, Azure Data Factory, Azure Cosmos DB SQL API (Document DB / MongoDB), Azure Blob Service, Kafka and Azure Databricks. * Configure the appropriate VMs, storage and network in Azure to support the customer workloads moving to Azure * Provided Databricks Spark solution in various use cases. * Orchestrating Azure Databricks with Azure Data Factory * Develop and implement monitoring, backup and archival solutions in Azure to support customer requirements

Senior Software & Cloud Architect | AWS | Java | React Native | Data Engineering | AI Integration With over 19 years of hands-on experience in software engineering, AWS cloud architecture, and enterprise solutions, I design and implement scalable, secure, and data-driven systems that power businesses across Africa and beyond. As the founder of System-Gurus Providers (SysGuru™), I specialize in end-to-end digital transformation — from backend architecture to frontend UX, from DevOps automation to cloud-native scalability. 💡 Core Expertise Cloud & Infrastructure: AWS (ECS, Lambda, S3, RDS, CloudFormation, API Gateway), Azure, and GCP Backend Engineering: Java, Spring Boot, Quarkus, Python, Scala, Node.js Frontend: React, React Native (Expo), Angular, HTML5/CSS3, TypeScript Data & Big Data: Spark, Kafka, Hadoop, Hive, Elasticsearch, PySpark Integration: MuleSoft, Apache Camel, IBM IIB, REST/SOAP, Microservices DevOps & CI/CD: Jenkins, GitHub Actions, Docker, Kubernetes, Maven, Gradle Monitoring & Observability: Grafana, Prometheus, Dynatrace, Kibana Security & Compliance: IAM, encryption, network firewalls, WAF, cybersecurity best practices AI & Automation: Amazon Bedrock, SageMaker, chatbots, predictive analytics 🏗️ Architecture & Leadership I’ve led cross-functional teams in designing and modernizing enterprise applications, including large-scale solutions for ABSA, FNB, Momentum, SITA, BMW, Vodacom, Standard Bank, and Old Mutual. My architectural philosophy centers on Domain-Driven Design, Hexagonal Architecture, and event-driven microservices, ensuring long-term maintainability, integration agility, and performance. 🚀 Key Achievements NNAKKI Platform: Architected and built a full React Native + Java Spring Boot beauty-service booking and payment ecosystem hosted on AWS. Integrated Paystack and PayFast for secure payments, provider onboarding, and real-time chat scheduling. FNB Cheque Imaging Modernization: Re-architected a 24/7 cheque imaging and archiving system with zero downtime and complete documentation for business continuity. ABSA Data Ingestion Pipeline: Led Hadoop/Spark migration and optimized data ingestion pipelines with schema reconciliation, Kafka-based monitoring, and Grafana dashboards. BMW Cloud DevOps: Built and maintained production-ready AWS ECS and Lambda microservices using CI/CD, container orchestration, and enterprise-level observability. 🧠 Certifications AWS Certified Solutions Architect – Associate AWS Certified Developer – Associate AWS Certified Security Specialist Microsoft Azure Fundamentals / AI / Data (AZ-900, AI-900, DP-900) Google Cloud Digital Leader (GCP) MuleSoft Certified Developer IBM Mini MBA & Business Management Diplomas 🌍 Professional Philosophy I believe in combining innovation with reliability — translating complex technical challenges into elegant, documented, and measurable solutions. My focus is on delivering secure, scalable systems that transform operations and elevate business outcomes.

I'm a senior software and data engineer with 18+ years of experience building production systems — from web applications and microservices to large-scale data pipelines and cloud infrastructure. What makes me different: I deliver end-to-end. You don't just get code — you get a deployed, repeatable, maintainable system with infrastructure-as-code, CI/CD, and monitoring baked in from day one. ─── WHAT I BUILD ─── Web Applications & APIs • Full-stack apps with React, Next.js, Node.js/Express, TypeScript • RESTful and event-driven microservices architectures • Authentication, authorization, and API security (JWT, OAuth) Web Scraping & Automation • Custom scrapers for data collection at any scale • Headless browser automation (Scrapy, Selenium, Playwright) • Scheduled data extraction pipelines with monitoring and alerting • Anti-detection strategies, proxy rotation, and CAPTCHA handling Data Engineering & Pipelines • Spark (PySpark, Scala, Java) batch and streaming pipelines on AWS EMR and Databricks • Real-time data collection with Kafka, Storm, and Spark Structured Streaming • Data lake/lakehouse architectures with Delta Lake, Iceberg, and Unity Catalog • Workflow orchestration with Airflow and custom DAG frameworks Cloud Infrastructure & DevOps • AWS: S3, EMR, Lambda, SQS, RDS, ECS • Infrastructure as code with Terraform and Ansible • CI/CD pipelines (Jenkins, Azure DevOps) • Docker, Docker Compose, Kubernetes, and containerized deployments ─── MY STACK ─── Languages: Python, JavaScript/TypeScript, Scala, Java, SQL Frontend: React, Next.js, Nuxt.js, Redux, HTML5/CSS3 Backend: Node.js, Express.js, Koa.js Databases: PostgreSQL, MariaDB, MongoDB, OpenSearch, Apache HBase Data: Apache Spark, Databricks, Delta Lake, Iceberg, Airflow, Kafka Infrastructure: AWS, Terraform, Ansible, Docker, Kubernetes, Jenkins ─── WHAT I VALUE ─── • Clear, responsive communication • Clean, documented, maintainable code • Infrastructure as code — no manual setups • Pragmatic solutions that solve real problems without over-engineering ─── WHO I WORK WITH ─── Startups, growing companies, and anyone who needs a reliable engineering partner to build or improve their systems. I'm equally comfortable architecting a greenfield microservice, untangling a legacy data pipeline, or building a custom web scraper to feed your analytics.

I am an infrastructure-focused software engineer with experience across backend systems, distributed architecture, self-hosted AI environments, and production deployment. My technical background includes C/C++, Java, Python, and Golang, with hands-on experience building and operating backend platforms using Spring Boot, Spring Cloud, FastAPI, and related technologies. I have practical experience with: * Linux server infrastructure * Dockerized deployments * API gateway integration * distributed systems * cloud and self-hosted environments * GPU/AI deployment workflows * production-oriented system operations In the AI infrastructure space, I am particularly interested in self-hosted LLM deployment, inference serving, RAG-related architectures, and operational reliability for real-world production systems. On the database and data platform side, I have experience with MySQL, Elasticsearch, ClickHouse, HBase, and stream/data processing systems including Flink. My focus is not only software development itself, but also deployment realism, maintainability, scalability, and operational stability in production environments.

8 years building production AI systems. 5 products acquired by companies. i build document extraction pipelines, multi-agent platforms, and RAG systems that actually work on real data, not notebooks and demos. my last system: replaced a Fortune 500 client's 40% accuracy OCR pipeline with a VLM-powered extraction system hitting 99.2% accuracy, 100% line item recall, and 0% wrong acceptance rate. $0.007 per document. 8-12 second processing. the client's previous system took 52 seconds and missed 60% of fields. before that, i built a hybrid RAG system (ChromaDB + PostgreSQL, cross-encoder reranking) that went from 3 business days manual lookup to 2.1 seconds. precision@5 = 92.4%. that system got acquired in January 2025. i also built and deployed a 24-agent enterprise delivery platform. FastAPI backend, Next.js frontend, multi-tenant isolation, knowledge graphs fetching 1.4M records in 0.24s. delivery time went from 3 days to 4 hours. what i bring that most ML freelancers dont: i have built production NLP pipelines with SpaCy, RapidFuzz (221+ vendor fuzzy matching registry), BERT/transformer fine-tuning, and deterministic validation engines. i learned not to let LLMs do math (GPT-4 gets arithmetic wrong 15% of the time). i built a Python rules engine instead. 99.7% accuracy. i have built complete agentic systems using LangGraph, MCP servers, Claude agents, and custom orchestration layers. not prompt chaining. real state machines with tool registries, persistent memory, and goal-directed planning. i have built full-stack platforms end-to-end: FastAPI + Next.js + Docker/K8s + AWS (Bedrock, SageMaker, Lambda, Kafka, OpenSearch, PostgreSQL). CI/CD pipelines, circuit breakers, horizontal scaling. i deploy microservices daily. i have my own AWS resources (Bedrock access, all models). i can start building and testing on your project immediately without waiting for infrastructure provisioning. core stack: Python (FastAPI, Django, Flask), JavaScript (Next.js, React), AWS, Docker/K8s, PostgreSQL, MongoDB, ChromaDB, LangGraph, SpaCy, PyTorch, TensorFlow products i built and shipped: - Agentic OCR: 100% accuracy document extraction (Fortune 500 client, production) - RivanIT: 24-agent enterprise delivery platform (production) - AgenTech: multi-agent lead gen system (acquired by YC W24 startup) - ORION-VTON: AI virtual try-on (acquired by Laam.pk, serving millions) - RadiXGPT: automated radiology reporting (published in Nature, deployed in hospital) - Enterprise RAG: hybrid retrieval system (acquired January 2025) - GradientAI: StyleGAN wallpaper generation (acquired by Iniity Labs) i have video demos of both flagship products (Agentic OCR and RivanIT) and live showcases with benchmarks, architecture, and full documentation. check my portfolio section below for links and details. message me and i will run a free test on your data. no setup, no commitment. you see results before you pay anything.

Hey there! 👋 I'm a Data Engineer with about 6 years of hands-on experience. I specialize in Python, building scalable ETL pipelines using big data tools and efficiently process data that scales quick . Familiar with different types of RDBMS, Warehouses, Lakes and Lake houses architectures. Besides dealing with the technical stacks I have also been heavily involved in analytical engineering on how to best automate the generation of KPIs with smooth workflows I have worked in different domains such as Banking, Marketing , Telecom and Ad-Tech as either being employed or freelancing. I've also worked with LLMs (including RAG pipelines), and have the experience developing Machine Learning models. I have the desire for turning raw data into real, actionable insights ! Here's a snapshot of what I bring to the table: ✅ Languages: Python, SQL, Java, SSJS ✅ AWS Cloud: S3, AWS EMR, EC2, Lambda ✅ Data Warehouse & Lakehouse Architectures: Oracle, Snowflake, Iceberg ✅ Databases: PostgreSQL, Microsoft SQL Server, Oracle, Apache Hive, HBase ✅ Data Processing: Real-Time & Batch ✅ Big Data & ETL Stacks: Apache Airflow, Apache Kafka, Spark (Scala/Python), dbt, Apache NiFi, SSIS ✅ Containers: Docker, Kubernetes ✅ CRM Tools: Salesforce Marketing Cloud ✅ Machine Learning Algorithms: Logistic Regression, Classification, Computer Vision, NLP, Time Series Forecasting, Hyperparameter Tuning, Deep Learning ✅ ML Frameworks & Libraries: TensorFlow, Keras ✅ Tools: VS Code, GitHub, Jupyter Notebook

Professional Profile I have approximately ten years of Java development experience, I possess a proficient command of the Java technology stack and demonstrate a solid programming skillset, coupled with outstanding problem-solving abilities. Successfully delivered high-quality software solutions across multiple projects, I am well-versed in various aspects, including proficiently drafting design documents, Java coding, conducting code reviews, and collaborating on testing and debugging. Additionally, I have served part-time roles within the team as Deputy Project Manager (responsible for overseeing the technical team and leading recruitment efforts) and technical team leader. In these capacities, I took charge of evaluating and ensuring the code quality for the entire team, setting standards, and formulating guidelines. I have excellent teamwork and communication skills. I dedicated to developing high-quality web applications, and I prioritize user experience and performance optimization in my work. I maintain a keen interest in staying abreast of new technologies, displaying a willingness to continuously learn and grow. I proficient or adept in the following technology stack: Java, MySQL, Python, Shell, Spring Boot, Linux, Nginx, Git, Maven, IDEA, data structures and algorithms, DevOps pipeline service construction, server deployment and maintenance, etc. I have also attained a passing grade in the National College English Test (CET6).