Software Engineer | Backend Specialist | Automation Enthusiast
Ever built something so efficient it replaced Zapier and saved money every month? I have.
I'm a software engineer obsessed with automation, clean architecture, and making legacy systems jealous. Whether itβs streamlining workflows or building scalable APIs, I thrive on efficiency and clean engineering.
Currently, I'm building resilient backend systems and classification bots that automate 75% of CRM workflows β accelerating operations while reducing human error.
Curious? Letβs connect. I might just automate your next bottleneck.
Designed and built a hybrid underwriting engine using Java and Node.js to simulate portfolio-level risk. Ingested merchant data via Plaid APIs, calculated exposure, and boosted lender transparency.
Built an email classifier using LLMs and Gmail API to automate parsing and update deal status in Streak CRM. Reduced 75% of manual CRM work.
Replaced expensive Zapier workflows with a custom Node.js dispatch engine on Linux, saving $500+/mo while boosting resilience and control.
Developed and deployed a secure React + Express internal tool with Oracle DB, Dockerized it, and automated AWS deployments with Ansible.
Replaced Zapier with a custom Node.js dispatch engine to cut recurring costs. Architected a scalable backend system on a Linux server, saving over $500/month and increasing control.
Built a lender eligibility assessment app using Django, enabling precise lender identification. Designed a backend to process complex financial inputs, streamlining deal evaluations.
Managed dual-database systems with PostgreSQL for analytics and MySQL for daily ops. Engineered optimized schemas and reporting layers, driving real-time dashboards and smarter decision-making.
Developed a secure internal web app with React for a U.S. enterprise. Implemented component-driven UIs with JWT-based flows, improving internal workflows and user experience.
Deployed containerized infrastructure for 20+ clients on AWS. Used Docker + Ansible, achieving scalable, zero-downtime environments.
Needed to automate CRM data input from decline emails. Combined Gmail API with an LLM classifier, automating 75% of CRM workflows and improving accuracy.