Professional Summary
AI Engineer / Machine Learning Engineer with 5+ years of experience delivering end-to-end intelligent systems, from data
ingestion and model development to production deployment and monitoring. Proven track record of engineering AI chatbots,
forecasting models, and automation pipelines that reduce manual effort, improve decision speed, and support scalable business
operations. Strong foundation in Python, SQL, AWS, and analytics engineering, with hands-on experience aligning technical
implementation to business outcomes across marketing, CRM, and operational workflows.
Projects
Machine Learning Sales Forecasting (XGBoost) (2026)
Engineered an XGBoost forecasting pipeline for sales and demand planning; achieved strong predictive performance and improved inventory planning accuracy for business teams.
Meta Ads Analytics Platform (2025)
Built a multi-tenant analytics SaaS integrating Meta Marketing API, automated KPI pipelines, and AI-generated campaign insights to accelerate optimization cycles.
AI Chatbot Data Analyst (2025)
Designed conversational analytics assistant connected to marketing datasets; automated recurring analysis workflows and reduced manual reporting effort by approximately 60%.
WhatsApp Business Bot (2025)
Implemented n8n-powered WhatsApp automation for customer inquiries and status tracking, improving response consistency and lowering repetitive support workload.
Customer Service Reporting System (2024)
Developed a role-based PWA reporting system with real-time dashboards, enabling faster issue escalation and data-driven service improvement.
Employee Attendance System (2024)
Built a real-time attendance platform with geolocation validation and automated records synchronization, increasing attendance data reliability.
Donation Management System (2024)
Engineered a secure donation workflow and transparency dashboard, improving trust and operational traceability for donor and finance teams.