Jonas Dimaculangan

About

An accomplished AI Automation Developer and Python Engineer with extensive expertise in web scraping, automation, and backend development. Proficient in designing and deploying automation ecosystems, developing custom scripts, and enhancing system performance and scalability. Experienced in healthcare, IT, and software development sectors.

Experience

• Automation Developer · FlowEdge Solutions2024-05 – 2025-07

  Designed and deployed end-to-end automation ecosystems using n8n and Make.com, orchestrating multi-platform workflows across Gmail, Google Drive, Google Sheets, HubSpot, and GoHighLevel to streamline operations and eliminate manual work. Built and connected AI voice agents with Vapi and Bland AI, integrating them into n8n/Make workflows for lead qualification, customer follow-ups, and appointment scheduling, creating fully autonomous communication pipelines. Developed custom Python and JavaScript scripts to extend workflow capabilities — handling data parsing, API integrations, task scheduling, and process optimization beyond native automation limits. Automated data synchronization and reporting across CRMs, spreadsheets, and internal systems with real-time Slack, Teams, and Telegram alerts, improving team responsiveness and operational visibility. Implemented robust scheduling, logging, and tracking systems using Google Sheets and Airtable, ensuring reliable execution, transparent audit trails, and easy performance monitoring. Delivered modular, reusable automation components that reduced deployment time and manual operations by 70%+, enabling rapid scaling of AI-driven business processes across teams and clients.

• Python Developer · ELEKS2021-10 – 2024-05

  Designed and maintained a large-scale Job Application Tracking System (ATS) handling over 35M job listings and automating data collection across 40+ job platforms. Built high-performance Python crawlers and automation bots using Playwright, Selenium, and Requests, implementing multi-threading, async execution, and proxy rotation for stable, high-throughput scraping. Developed web automation scripts for autofilling and submitting job applications, handling CAPTCHA, Cloudflare, and Akamai challenges through adaptive browser behavior and smart retries. Implemented robust data pipelines and scheduling systems for continuous scraping, data refresh, and validation, ensuring consistent uptime and reliable updates. Optimized MongoDB and PostgreSQL workflows for performance and scalability, improving query efficiency and reducing data duplication and latency. Integrated backend modules to generate enriched, standardized, and AI-optimized job descriptions, improving data quality and automation coverage. Enhanced system performance and scalability through multithreaded architecture, asynchronous task execution, and database optimization, reducing processing time and resource usage across large scraping workloads.

• Web Specialist · iHealth and Wellness Foundation, Inc.2021-02 – 2021-08

  Developed and maintained automated web scraping pipelines using Python, Scrapy, and Playwright to collect structured health, wellness, and product data from public and e-commerce sources. Implemented proxy rotation, CAPTCHA-solving, and anti-bot evasion strategies to maintain high data accuracy and scraping continuity across large-scale operations. Designed efficient data cleaning, transformation, and validation workflows, ensuring consistency and usability for research and analytics teams. Stored and synchronized processed data in Google Sheets and MongoDB, enabling real-time access for health researchers and data analysts.

• Python Developer · Ducen IT2019-04 – 2020-12

  Developed and maintained Python-based automation scripts for data extraction, transformation, and validation, streamlining research and reporting workflows across multiple internal projects. Built and deployed Flask REST APIs for lightweight data services and internal dashboards, gaining solid experience in backend development and API design best practices. Applied Pandas, NumPy, and scikit-learn to perform exploratory data analysis and implement small-scale machine learning prototypes for predictive insights and data-driven reporting. Collaborated with cross-functional teams using Git, GitHub, and Agile workflows, contributing to version-controlled, code-reviewed development cycles. Integrated third-party APIs and external data sources to enrich analytics pipelines, focusing on reliability, error handling, and performance optimization. Assisted in cloud-based deployments and automation of development environments, building early experience with containerization, virtual environments, and API hosting in production-like setups.

Education

• University of the EastBachelor of Science

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