• Ground Ops Optimization: Developed and maintained industry-leading software for Airport Ground Operations, managing complex workflows including gate assignment, baggage handling, and staff rostering.

• Full-Stack Engineering: Engineered responsive user interfaces and robust backend APIs that allow airport dispatchers to make rapid, data-driven decisions under extreme time pressure.

• Data Integration: Built and managed complex ETL pipelines using SQL and PySpark to ingest flight data (ADS-B, A-CDM) into optimization engines for real-time reporting.

• Stakeholder Management: Act as a technical bridge between global airline clients and development teams, ensuring software solutions meet rigorous aviation safety and performance standards.

• Mentorship: Conduct code reviews and mentor junior engineers on software design patterns and the nuances of the aviation software lifecycle.

• GenAI Implementation: Supervised the integration of Large Language Models (LLMs) into research workflows, optimizing prompt engineering and model fine-tuning to enhance automated output.

• Predictive Modeling & ML: Developed and refined machine learning models using Python (Scikit-learn, PyTorch) to extract insights from complex datasets.

• Big Data Engineering: Architected data pipelines within Databricks using PySpark and SQL to process large-scale datasets for high-performance analytics.

• Mentorship & Supervision: Guided students in applying statistical methods and AI frameworks, ensuring technical accuracy and best practices in algorithmic development.

• Advanced Visualization: Transformed raw data into actionable intelligence by designing interactive dashboards in Power BI and Tableau.

• Assisting faculty in managing coursework, grading, and conducting tutorial sessions for graduate-level data science classes.

• Supporting lab-based research initiatives involving cloud data pipelines and machine learning prototyping on Azure/AWS

• CI/CD Pipeline Engineering: Architected and maintained Jenkins-based CI/CD pipelines, automating code integration and deployment phases to increase release velocity.

• Infrastructure as Code (IaC): Managed and scaled global Linux and Windows environments, utilizing automation to provision storage, memory, and compute resources.

• Observability & Monitoring: Developed custom Prometheus and Grafana dashboards to monitor microservices and payment gateways, resulting in a 35% reduction in MTTR.

• Database Reliability: Engineered automated backup and recovery workflows for Oracle and MSSQL, ensuring high availability and data persistence across global clusters.

• Middleware Optimization: Streamlined the deployment of middleware systems, enforcing ITIL standards while promoting a collaborative DevOps culture to bridge the gap between Dev and Ops teams.

• Monitoring & Observability: Oversee multi-console payment environments using Prometheus, UIM, and Grafana to ensure constant service availability.

• Automation: Reduced manual intervention by automating deployments and enforcing a collaborative DevOps culture within ITIL frameworks.

• Emergency Response: Manage the lifecycle of Standard and Emergency Changes; act as the primary point of contact for clients and customers during critical outages.

• Hybrid Server Administration: Provide L1/L2 troubleshooting for Linux and Windows environments, specifically focusing on resource allocation (CPU/RAM) and storage optimization.

• Data Integrity: Support database health by managing backups and expanding storage/datafiles to prevent downtime in high-traffic global environments.