I build the complete IoT stack — from the firmware on the board to the API and dashboard it talks to. Most clients have to hire two people: a firmware engineer and a backend developer, then spend weeks getting them to agree on a protocol. I do both, so the device, the cloud and the deployment are designed as one system. What I do: - Firmware — ESP32 (ESP-IDF, Arduino, ESPHome), BLE, Wi-Fi, MQTT over TLS, Modbus RTU/TCP, CAN, OTA updates, low-power design - Backend — PHP/Laravel, REST APIs, device provisioning and auth, time-series telemetry pipelines (MQTT → ClickHouse/PostgreSQL), alerting and automation logic - Infrastructure — AWS, Kubernetes, Docker, CI/CD, TLS/cert automation, secure remote access without exposing devices to the internet Recent work: - Smart lock platform for a short-term rental company — BLE lock integration (TTLock ecosystem), backend for access-code lifecycle, running on Kubernetes/AWS - Solar inverter telemetry — Deye inverters over Modbus into a ClickHouse pipeline with dashboards and surplus-based load control - PV-surplus EV charging controller — real-time algorithm that charges a car only from excess solar production - Access control system built from scratch — ESP32, motor driver, keypad, face recognition, remote unlock API; in daily production use for 8 years I work independently, ask the questions that matter before writing code, and hand over documented, maintainable systems rather than a prototype that only I can support. Send me your idea or your existing hardware and I'll tell you honestly what it takes.

Senior backend engineer with 7+ years building production systems in Python, C++, Ruby, and React, with deep infrastructure experience in Kubernetes, PostgreSQL, ClickHouse, Docker, Kafka. Spent the last 5 years at NGENIX designing and shipping REST APIs, microservices, and platform infrastructure, and grew into technical leadership - including scaling the backend team from 3 to 6 engineers - without stepping away from hands-on architecture and delivery. Continues to build independently outside of work. In IT - 20+ years.

Striving to get involved with greater challenges to improve my professional skills and ability Skills * Server Side Scripting: PHP, JSP, MTA (Python), Django, MEAN Stack. * Client Side Scripting: JavaScript , JQuery, Prototype JS, Lightbox, Fancybox, Highslide, jBox, amCharts, Highcharts. * Desktop Programming: C/C++, JAVA. * Databases: MySQL, Cassandra, PostgreSQL, ClickHouse,MongoDB and Elasticsearch. * CMS / Tools: CakePHP, CodeIgniter(Pyrocms), Joomla, Drupal, SugarCRM, Smarty, ZenCart, oscommerce , SOAP web Services, APTANA with Ubuntu, WAMP, LAMP and XAMP, Tomcat 9 . * Payment Gateways: Link Point, Authorize.net(CIM,ARB), pay pal (ipn, do direct, mass payment), Google checkout. * BI Tool: Superset 1.x with ClickHouse, Kibana with Elasticsearch (ELK Stack). Professional Experience: I have over fifteen years of experience in PHP/MYQL, PHP/SQL Server

I help teams diagnose, stabilize, and scale Python backends and AI-agent platforms. My recent work includes owning a production Django/Celery platform, shipping LangGraph agents, running multi-region AWS infrastructure, and leading up to 15 engineers. Earlier, I designed attribution services sustaining more than 200k requests per second, built Kafka/ClickHouse data pipelines, and reduced AWS spend by about 30% through ARM migration and right-sizing. I am strongest in Python, Django, FastAPI, PostgreSQL, ClickHouse, Kafka, Celery, RabbitMQ, Redis, AWS, Terraform, Kubernetes, and production LLM-agent workflows. I can join for a focused diagnostic, code or architecture review, incident recovery, performance investigation, or a short implementation sprint. I communicate directly, document findings, and leave teams with a prioritized plan they can execute. Available for focused 24–72 hour engagements: • Python/Django/FastAPI production diagnosis and recovery • LangGraph or LLM-agent reliability review • PostgreSQL/ClickHouse/Kafka performance triage • AWS cost, reliability, and deployment review • Architecture and code review for a critical release You will receive concrete findings, an ordered remediation plan, and clearly scoped implementation options. I only take work where I can be useful quickly.

In practice, my role combines Python development, backend engineering, data engineering, database administration, analytics, and data science, allowing me to design and implement end-to-end solutions for complex business and data-processing tasks

I am a Senior Java Backend Engineer with 8+ years of commercial experience specializing in FinTech, scalable microservices, and secure enterprise architectures. Core Technical Toolkit: - Java, Spring Framework, REST API - PostgreSQL, Kafka, Elasticsearch, Redis, Docker .. I have a strong track record of designing financial platforms from scratch, implementing secure IAM layers, and optimizing database performance. Open to long-term remote contracts.

Senior Software Engineer with over a decade of experience in web and backend development, focusing on API design, system integrations, and event-driven processing, including technical leadership and mentoring.

I turn messy data, unclear requirements, and complex product ideas into software that works and that people can actually use. 20+ years across principal engineering, founding, CTO/CPO roles, and hands-on implementation. I work mostly on data-heavy systems: search, APIs, analytics, pipelines, backend platforms, AI-enabled workflows, and products where the technical shape is not obvious yet. I'm a systems engineer at heart, but I also bring product judgment and a feel for UX. I care about what should be built and how it gets used, not just the implementation underneath. The work I do best usually starts in one of two places. Sometimes it is a new product, feature, or technical direction where the business goal is clear but the system still needs to be figured out. A product idea that needs a real architecture. A data-heavy feature that needs the right model. An AI or search workflow that sounds useful, but still needs to be grounded in actual data, APIs, and user behavior. Other times it is an existing system that has started showing that its original design no longer fits. Data that fights the schema. Search that returns noise. RAG you cannot trust. Analytics that time out. APIs whose contracts have become unclear. A backend that started simple and outgrew its original design. In both cases, I help teams shape the requirements, make the tradeoffs explicit, design the system, and build the critical pieces. I am not useful only after everything has already been specified. I am often most useful before that point. Typical work: - Data-heavy backend systems, APIs, and internal platforms - Search, retrieval, Elasticsearch/OpenSearch, and knowledge systems - AI features connected to real business data and workflows - Data pipelines, analytics infrastructure, ClickHouse/PostgreSQL systems - Requirements shaping, technical direction, and production-minded implementation I care about how the thing gets used. Product flow, UX, API design, developer experience, observability, and operational simplicity all matter. Correct code can still fail in practice if the workflow is awkward, the data model is wrong, or nobody can understand the system after it ships. Part of the value is seeing how the pieces connect across product, UX, data, architecture, and operations and catching the problems that sit between those areas before they ship. If you have a business problem, constraints, and an outcome in mind, let's talk about the shape of the system and get the core pieces built.

I help businesses turn messy, repetitive data tasks into clean, automated, and easy-to-use reporting systems. I specialize in Excel, Power Query, SQL, data cleaning, reporting, and business analytics

Software & Data Engineer with 3+ years of experience building and optimizing large-scale, data-intensive systems in production environments. Proficient in SQL, Python, and ETL/ELT pipelines, with a strong focus on processing complex datasets, ensuring data integrity, and improving data workflows for system performance. Proven ability to automate processes, write maintainable code, perform structured root cause analysis, and translate operational data into actionable technical solutions. Experienced with distributed systems and microservices architectures, relational and non-relational databases, and cross-functional collaboration to deliver scalable platforms serving global enterprise customers.