Hire the Best Cakewalk Sonar Specialists

With 7+ years of experience, I'm Expert in Web Scraping, Data Engineer, AI/ML and Full-Stack Developer specializing in large-scale data extraction, automation, and pipeline engineering. I build robust, scalable systems that transform raw data into actionable insights. 💡 Core Expertise Web Scraping & Automation: Expert in bypassing anti-bot systems (CAPTCHA, rate limits, IP rotation) using Scrapy, BeautifulSoup, Selenium, Playwright, and rotating proxies. Automation & Workflow Engineering: Airflow, Prefect, Dagster, n8n, Zapier, Make, Power Automate, UiPath, Step Functions, Logic Apps, GCP Workflows, Business Process Automation, RPA, CI/CD, Jenkins, GitHub Actions, GitLab CI/CD, Monitoring & Alerting. Data Engineering: Designing and building scalable ETL/ELT pipelines for structured, semi-structured, and unstructured data using Apache Airflow, Apache Spark (PySpark), Pandas, Dask, Databricks, Snowflake, Apache Kafka, Apache Hive, Apache Hadoop, Delta Lake, Apache Iceberg, dbt, AWS Glue, Azure Data Factory, Google Cloud Dataflow, Apache NiFi, Trino, Presto, and Apache Beam. Experienced in data warehousing, data lakes, lakehouse architectures, data modeling, data transformation, data quality, data governance, batch and real-time processing, streaming data pipelines, orchestration, workflow automation, schema design, partitioning, optimization, and performance tuning. Proficient with cloud platforms including AWS, Azure, and GCP, S3, Redshift, EMR, Athena, Lambda, Azure Synapse Analytics, Azure Data Lake Storage, BigQuery, Cloud Storage, and Pub/Sub. Skilled in SQL, Python, data integration, data migration, CDC, metadata management, monitoring, CI/CD, Docker, Kubernetes, and modern data stack technologies. Backend Development: High-performance APIs and microservices with FastAPI, Django, Flask, and Celery for async task handling. AI/ML Integration: Leveraging NLP and LLMs (LangChain, Llama, NLTK) for data enrichment, classification, and intelligent automation. Cloud & DevOps: Deploying scalable scrapers and data workflows on AWS (Lambda, ECS, S3), GCP, Docker, and Kubernetes. 🛠️ Tech Stack Data & Scraping: ▸ Scrapy | Selenium | Playwright | Proxies (BrightData, ScraperAPI, etc) ▸ Pandas | PySpark | Apache Airflow | PostgreSQL | MongoDB | Redis Backend & Cloud: ▸ Python (FastAPI, Django, Flask) | Celery | RabbitMQ ▸ AWS (Lambda, ECS, RDS, S3) | GCP | Docker | Kubernetes AI/ML: ▸ NLP (NLTK, spaCy) | LLMs (LangChain, OpenAI, Llama) | Data Annotation Let's turn your data challenges into reliable, scalable solutions. Send me a message to discuss your project!

I build go-to-market systems, not automations in isolation. My work sits at the intersection of GTM strategy, outbound engineering, and AI-driven execution. I help companies move from vague ICP assumptions and manual prospecting to instrumented, testable, and scalable GTM engines. AI and automations are not the product. They are the force multiplier. What I focus on - ICP & persona engineering (who to target, and why) - Outbound system design (data → enrichment → routing → messaging) - Hypothesis-driven GTM experiments (what actually converts) - AI decision layers that replace analyst judgment, not just effort What I’ve built (real GTM work): 1. Outbound ICP testing framework: Designed and executed multi-hypothesis LinkedIn outreach across 300 companies → Winning ICP delivered 4.17× reply-rate uplift and 48% positive responses 2. AI-powered investor & partner targeting: Built screening systems for fundraising and strategic outreach → 500 targets → 48 validated, high-intent investors with 87% AI accuracy 3. Sales pre-call intelligence pipelines: Automated lead research → structured briefings → CRM ingestion → Eliminated manual prep while improving call quality Market & M&A list-building architectures: Automated market scans using scraping + AI qualification → Hours of analyst work compressed into minutes

⭐ Golden Kubestronaut and Multi-cloud certified expert 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 Golden Kubestronaut CKA: Certified Kubernetes Administrator CKS: Certified Kubernetes Security Specialist CKAD: Certified Kubernetes Application Developer CAPA: Certified Argo Project Associate PCA: Prometheus Certified Associate ICA: Istio Certified Associate OTCA: OpenTelemetry Certified Associate CGOA: Certified GitOps Associate CCA: Cilium Certified Associate KCA: Kyverno Certified Associate CBA: Certified Backstage Associate LFCS: Linux Foundation Certified Systems Administrator 𝐀𝐖𝐒 AWS Certified Solutions Architect – Professional AWS Certified DevOps Engineer – Professional AWS Certified Security – Specialty AWS Certified Advanced Networking – Specialty 𝐆𝐨𝐨𝐠𝐥𝐞 Professional Cloud Architect Certification Professional Cloud DevOps Engineer Certification Professional Cloud Network Engineer Certification Professional Cloud Security Engineer Certification 𝐀𝐳𝐮𝐫𝐞 Microsoft Certified: DevOps Engineer Expert ⭐ Total of 10+ years of mixed experience in DevOps, Cloud Migration and infrastructure design Battle-tested DevOps engineer with more than 10 years specializing in bare-metal servers, virtualization /containerization environments (OpenStack, OpenShift), and public cloud providers (AWS, Google Cloud, Azure). I have helped my clients achieve the following: ■ 75% reduction in lead time for changes ■ 70% reduction in change failure rate ■ 80% increase in deployment frequency ■ 70% reduction in mean time to recovery ■ Setting up and managing production Kubernetes clusters with excellent API responsiveness (99% of all API calls return in less than 1 second) and Pod startup time (99% of pods start within 5 seconds) Top-notched in-depth knowledge and hands-on experiences in Kubernetes ecosystem and containerization world. Certified by Cloud Native Computing Foundation (CNCF) in various certification programs: Golden Kubestronaut Familiar with DevOps tools and software: Terraform, Jenkins, CircleCI, GitlabCI, ArgoCD, Ansible, Vault, SonarQube, Nexus, Jfrog, Kafka, Zookeeper, ELK, Datadog, Grafana, Prometheus, Istio, Cillium, Alert Manager, Checkpoint I work as the lead infrastructure engineer at Bao Viet Holdings, the largest Vietnamese insurance company, and Vietnam's seventh-largest listed company by market capitalization. Given that the organization is publicly traded (HOSE: BVH), it mandates the highest security level measures. One of my core duties is to manage the whole infrastructure and servers, ensuring full operational capacity, functionality, and security, as below: ■ Optimizing test automation, trunk-based development, and working in small batches ■ Consciously tracking and reporting on change failure rates ■ Implementing an automated deployment pipeline that incorporates automated testing and feedback mechanisms ■ Continuously monitoring system health and alerting operations staff in the event of a failure ■ Equipping operations staff with the necessary processes, tools, and permissions to resolve incidents Need a similar secured infrastructure and CI/CD pipeline setup for your team? Let's have a quick chat 💬

💡 Whether you need a new product built from scratch, help with cloud infrastructure, or expertise in digital signatures and security, I can help you deliver results. I bring together strong backend development skills with solid DevOps and cloud expertise, so you don’t just get code — you get a solution that’s ready for real-world growth. What I Can Do for You 💻 Software Development - Build robust back-end systems using Java or Python, Golang - Deliver production-ready APIs with Spring Boot, Django, Flask, FastAPI - Develop and customize enterprise platforms — including Warehouse Execution Systems (WES) and Warehouse Control Systems (WCS) at Fortna, covering order orchestration, inventory management, and integration with conveyors, sortation, and robotics in automated fulfillment centers 🤖 AI Agents & Automation - Design and build AI agent workflows that automate real business processes — data extraction, document processing, customer support, internal tooling, and reporting - Use AI tools (Claude, Cursor, Codex, LangChain-style orchestration) to ship products faster and reduce manual workload - Build custom integrations connecting AI agents to your existing systems (databases, APIs, internal dashboards) so automation actually fits into your workflow, not bolted on top of it 🗄 Databases & Data Engineering - Design and optimize databases (MySQL, MongoDB, Neo4j, Redis) - Build ETL pipelines and data warehouses (on-premise or cloud) - Web scraping & data processing with Selenium, BeautifulSoup, Scrapy, Airflow, Dagster, Playwright, ... ☁️ Cloud & DevOps - Deploy and manage apps on AWS and GCP - Automate infrastructure with Terraform - Ensure scalability with Kubernetes (K8s) - Set up monitoring dashboards with Prometheus & Grafana 🔐 Security & Digital Signatures - Implement digital signature workflows (PDF signing, PKI, CSC API) - Expertise with tools like iText, PDFBox, pyHanko, DSS Framework - Integrate cryptography & HSM solutions for compliance and security Why Clients Choose Me ✅ I don’t just code — I design, implement, and maintain full solutions. ✅ Strong focus on scalability, reliability, and security. ✅ Experience across product development, infrastructure, and consulting. ✅ Flexible: can work as a hands-on engineer or a technical consultant/partner.

I build agentic AI systems that run in production - not prototypes. A couple of years ago my work was mostly Elasticsearch and data infrastructure. It's shifted a lot since then. These days I'm building full AI pipelines: multi-agent workflows with LangGraph and CrewAI, RAG systems on Pinecone and Qdrant, voice AI agents that actually make phone calls (Vapi and ElevenLabs), and security automation that goes from alert ingestion to response without waiting for a human. Some of the more interesting things I've shipped: - An automated SOC workflow that triages SIEM/XDR alerts through L1/L2 AI agents and runs response playbooks - no analyst needed for first-response decisions - A full sales pipeline where AI handles outreach, runs live qualification calls, matches buyers to sellers, and closes deals with e-signatures. Humans only touch exception cases - An employee compliance agent that monitors Slack, has actual conversations with flagged employees, and escalates to an L2 agent trained on company policy via RAG - not just a flag-and-alert system - An AI-driven personalized search engine where results rank differently per user based on real behavioral signals, not a shared relevance score My infrastructure background is deep in Elasticsearch and OpenSearch - cluster design, multi-tenant architectures, ingestion pipelines, and performance work. I once took a 50M-document production cluster from visibly slow to sub-second and called it an 8x improvement. I've also built a full multi-tenant CSOC SaaS on AWS OpenSearch with Wazuh handling the security telemetry. Stack I work with day-to-day: Python (FastAPI, Flask), LangChain, LangGraph, CrewAI, n8n, Make, Supabase, Pinecone, Qdrant, Kafka, Docker, Kubernetes, AWS. LLMs: GPT-4o, Claude, Groq, Llama locally. Voice: Vapi, ElevenLabs, Twilio, Voiceflow. I stay until the thing works. Message me if you have a project that needs a real system.

9+ years in physical acoustics, vibration and ultrasound, for civil (buildings), consumer (ultrasonics) and industrial products, with experience in embedded, prototyping and new product introduction. PhD candidate in Ultrasonics, published author and inventor in few patents for a novel electromagnetic actuator. I offer laboratory services to: - Perform frequency response and impedance measurements. - Measure both airborne and waterborne ultrasound using lab-grade equipment. - Model, design and test piezo-based sensors including Langevin transducers. - Vibration isolated platform and vibration measurements. - Shaker testing and accelerometer testing. I am Member of Institute of Acoustics UK (IoA), and British Institute for Non-Destructive testing (BINDT). Areas of expertise: - Ultrasound: ultrasonic transducers including underwater, hydrophone measurements, piezoelectric and Langevin transducers. - Vibration: measurement using industry-standard accelerometers, signal processing, simulation using Finite Difference or Finite Element for buildings and products, transfer function measurements, setup of custom setups, ground-borne vibration analysis from trains, radiated noise, vibration actuator and custom vibration isolator design. - Haptics: design of haptic systems, and embedded programming of haptic actuators, including Texas Instruments DRV2605, and Rensas ASICs. - Measurements: Laser Doppler Vibrometer, Thermal measurements using FLIR systems, High-Speed Imaging, Radio Frequency (RF) - Programming: MATLAB and Python scientific programming and publication-level data analysis. - Prototyping: PCB design, etching and milling, Lathe and CNC metal work, soldering, reverse engineering. C and C++ for embedded development for Arduino and STM32. - Audio DSP design including testing of Acoustic Echo Cancellation (AEC) solutions, Acoustics Noise Cancellation ANC, Voice Activity Detectors, Cirrus Logic, Sigma DSP, Threshold Detectors, including open source algorithms such as WebRTC, SpeexDSP. - LabView applications for NI and non-NI devices with GUI interface, for testing, measurement and prototyping. Relevant achievements Served 20+ projects for clients worldwide since 2023. Sole inventor in 3 patent applications, 2023 Founded a company specialising in vibration feedback solutions, 2023 Published in Nature Scientific Reports and IEEE, 2021–2022 Presented my publications in IEEE Ultrasonic Symposium, 2021–2022