Acting QA Manager (Concurrent with Principal Engineer Role)

• Developed and executed quarterly QA alignment plans bridging teams in the US and India, mapping stories and milestones to ensure synchronized progress toward shared goals • Introduced a structured UAT upgrade process, consolidating upgrades to a single day each month to reduce disruptions and unplanned QA demands • Established a weekly pre-upgrade review with CSMs, DevOps, and QA to validate readiness, resolve dependencies, and ensure smooth, predictable upgrade cycles

Principal Software Engineer Achievements

• Led complex, mission-critical customer migrations for CIS/MS-ISAC, FS-ISAC, and ND-ISAC, as well as DevOps migrations from AWS Commercial Cloud to AWS GovCloud for sensitive workloads • Architected and implemented mTLS (PKI) authentication for TAXII polling subscribers in CTIX, designing initial AWS NLB deployments and later optimizing with ALB for improved performance • Directed Project Lumberjack, standardizing logging across four enterprise products into a unified JSON format, streamlining production support and troubleshooting

Key achievements

• Established the first formal on-call support system for the US engineering team with follow-the-sun model • Championed AI integration by proposing and delivering MCP support for company products • Secured executive approval and funding for enterprise-wide logging standardization • Implemented OpsGenie escalation workflows and Jira handover procedures

• Rapidly mastered the Cyware Orchestrate (CO) and Cyware Fusion and Threat Response (CFTR) codebases • Delivered production-level solutions to top-tier clients like CIS, Raytheon Technologies, Arvest Bank, and Amgen within 3 months • Actively engaged in customer support, handling on-demand issues and leading engineering solutions • Pioneered comprehensive ProdOps documentation and workflow system, enhancing operational efficiency

Key Technical Contributions:

• Designed and implemented 'Script Manager', a Go-based migration management tool with Go ORM for backend management • Developed an innovative internationalization tool using Regex for source code analysis and Django's i18n framework • Implemented key monitoring metrics like mean time to incident detection and recovery

Key achievements

• Delivered enterprise solutions for Fortune 500 clients within 3-month timeframe • Saved company hundreds of hours through automation of language translation processes • Enhanced production operations efficiency with streamlined monitoring and response strategies

• Led strategic migration of government agency's core application from ColdFusion to Python/Django with VueJS frontend • Employed test-driven development to meticulously replicate original functionality while enhancing performance • Successfully upgraded legacy MySQL database schema with Foreign Key relationships and Django migrations • Architected sophisticated CI/CD deployment strategy using GitLab CI with branch-specific automation

Key achievements

• Delivered seamless legacy application modernization with enhanced user experience • Achieved CMMC Level 3 certification through strategic migration to Microsoft 365 • Implemented efficient, error-free deployment processes on IBM Pivotal Cloud Foundry • Enhanced data integrity through proper relational database design

ProjectForge: Streamlit-Based Project Management

A comprehensive project management application built with Streamlit, designed to simplify project tracking and team collaboration. ProjectForge demonstrates modern web application development using Python's growing ecosystem of data science and web frameworks.

Architecture & Design

• Streamlit Frontend: Reactive web interface with real-time updates
• SQLite Database: Lightweight, file-based data persistence
• Docker Deployment: Containerized application for consistent environments
• Data Persistence: Volume mounting ensures data survives container restarts

Features

• Project tracking and milestone management
• Task assignment and progress monitoring
• Dashboard visualizations for project metrics
• Team collaboration tools
• Docker-based deployment for easy setup

Technical Skills Demonstrated

• Modern Python web frameworks (Streamlit)
• Database design and SQLite integration
• Docker containerization and deployment
• Data visualization and dashboard creation

Key achievements

• Built complete project management solution using modern Python stack • Implemented Docker-based deployment for consistent environments • Created intuitive user interface with Streamlit framework • Designed scalable data model with SQLite backend • Documented installation and usage for easy adoption

Squid Forward Proxy: Containerized Network Infrastructure

A Docker-based forward proxy solution designed for testing and development environments that require custom SSL certificates and proxy routing. This project demonstrates expertise in network infrastructure, containerization, and security.

Technical Architecture

• Docker Containerization: Complete proxy server setup using Docker Compose
• SSL Certificate Management: Custom SSL certificate support for secure proxy connections
• Network Configuration: iptables integration for traffic routing
• Port Management: Configurable proxy ports (3128, 4128) for different use cases

Key Features

• Quick deployment for proxy testing scenarios
• Custom SSL certificate integration
• Flexible proxy routing configuration
• Local traffic redirection capabilities
• Clean setup and teardown scripts

Use Cases

• Development environment proxy testing
• Network traffic analysis and debugging
• SSL certificate validation workflows
• Proxy server configuration testing

Skills Demonstrated

• Network infrastructure and proxy configuration
• Docker containerization and orchestration
• SSL/TLS certificate management
• Shell scripting and automation
• Network security and routing

Key achievements

• Built complete containerized proxy infrastructure solution • Implemented custom SSL certificate management system • Created automated setup and configuration scripts • Designed flexible proxy routing for multiple use cases • Documented clear deployment and usage procedures

CV Studio: OpenCV User Interface Toolkit

A cross-platform user interface toolkit designed to simplify complex OpenCV tasks, particularly focusing on Haar Cascade training and computer vision workflows. CV Studio demonstrates expertise in C++ development, computer vision, and GUI framework design.

Project Objectives

• Simplify OpenCV Workflows: Reduce complexity in computer vision development
• Cross-Platform GUI: Unified interface across different operating systems
• Haar Cascade Training: Specialized tools for object detection model training
• Future HOG Support: Planned expansion to Histogram of Oriented Gradients

Technical Implementation

• C++ Core (90.4% of codebase): High-performance computer vision processing
• Cross-Platform Design: Compatible with Windows, macOS, and Linux
• OpenCV Integration: Deep integration with OpenCV libraries
• MIT License: Open source and commercially friendly

Computer Vision Focus

• Object detection and recognition workflows
• Training data preparation and management
• Model validation and testing tools
• Performance optimization for CV pipelines

Skills Demonstrated

• Advanced C++ programming and GUI development
• Computer vision and machine learning expertise
• Cross-platform software architecture
• OpenCV library integration and optimization
• Open source project management

Key achievements

• Designed cross-platform computer vision toolkit using C++ • Created specialized tools for Haar Cascade training workflows • Implemented OpenCV integration for complex CV tasks • Built user-friendly interface for technical computer vision operations • Released as open source project under MIT license

Sultan: Command and Rule over your Shell

A Python package that provides a clean, intuitive API for interfacing with command-line utilities. Sultan bridges the gap between Python code and shell commands, making it easier to build robust automation scripts and command-line tools.

Key Features

• Pythonic Shell Commands: Execute shell commands using simple Python function calls
• Context Management: Built-in support for sudo, working directories, and environment variables
• Remote Execution: SSH support for running commands on remote systems
• Error Handling: Detailed error reporting and exception handling
• Cross-Platform: Works on Unix, Linux, and macOS systems

Technical Implementation

• Clean, object-oriented API design
• Support for both synchronous and asynchronous execution
• Comprehensive test suite with 100+ test cases
• Extensive documentation and examples

Impact

• 678 GitHub Stars - Strong community adoption
• 35 Forks - Active developer contributions
• MIT License - Widely accessible for commercial and open-source use
• Used in production environments for DevOps automation

Key achievements

• Achieved 678 GitHub stars and 35 forks, demonstrating strong community adoption • Featured in multiple Python package lists and DevOps tool collections • Comprehensive documentation with examples and API reference • Maintained backward compatibility across multiple Python versions (2.7-3.x) • Zero-dependency design for minimal installation footprint

CompTIA Security+ certification demonstrating foundational cybersecurity knowledge and skills.

CDH Version: 5 - Certified developer for Apache Hadoop ecosystem and big data processing.