Freelancing & Consulting
Hardware & Software Troubleshooting
- Diagnose and resolve hardware issues: boot failures, POST errors, component replacement
- Troubleshoot system performance problems across Windows and Linux environments
- Identify and fix driver conflicts, OS errors, and application malfunctions
- Perform device setup, configuration, and peripheral troubleshooting
- Resolve networking issues: IP conflicts, DNS/DHCP problems, connectivity failures
- Apply CompTIA A+–level best practices for safety, documentation, and escalation
Infrastructure & Systems Focus
- Build and deploy cloud and on-prem environments (AWS, GNS3, Cisco, VirtualBox)
- Design multi-tier VPC architectures with routing, subnets, and security controls
- Simulate full production networks using Cisco routers, switches, ACLs, firewalls, and VLAN/STP
Automation & Scripting
- Automate network configuration and inventory using Python, Ansible, Netmiko, and Terraform
- Create repeatable, documented workflows for infrastructure deployment
- Strong focus on reliability, reproducibility, and clean automation patterns
Networking & Cloud Skills
- VLANs, OSPF, DHCP, DNS, trunking, broadcast domain control
- AWS EC2, VPC, security groups, routing tables, IAM fundamentals
- Hands-on troubleshooting across Windows and Linux OS, and hybrid environments
Content & Documentation
- Produce clear technical demos, diagrams, and walkthroughs
- Write accessible blog articles on networking, automation, AI, and system performance
- Break down complex concepts for learners and stakeholders
AI Device Testing and Dataset Collection
- Supports initiatives for next‑generation AI technologies by contributing to data collection and usability testing across speech‑driven, silent‑speech, and gesture‑based human‑machine interaction.
- Evaluates audible and Silent Speech Recognition (SSR) devices using various facial sensors and signal captures.
- Tests gesture‑driven devices for non-keyboard alphanumeric input.
- Participates in instrumented, audio/video‑recorded sessions, generating high‑quality datasets that inform intent‑inference pipelines and usability analytics for emerging AI interaction systems.
AI Model Evaluation
- Evaluates and compares large language model (LLM) responses across conversational and location-based AI use cases.
- Develops prompt scenarios and assesses model outputs for accuracy, relevance, contextual understanding, personalization quality, and instruction adherence.
- Identifies hallucinations, unsupported claims, reasoning errors, and personalization inconsistencies across competing model responses.
- Documents evaluation findings and rationales that support model benchmarking, response quality improvements, and AI performance analysis.
Website User Experience (UX) Evaluation and Application Usability
- Participates in task-based usability studies to evaluate websites, web applications, and digital user experiences.
- Executes navigation, search, account management, and transaction workflows to assess functionality, usability, and ease of use.
- Identifies usability barriers, navigation challenges, confusing interface elements, and workflow inefficiencies that impact task completion.
- Provides structured feedback supporting user experience optimization, interface improvements, information architecture, and customer satisfaction initiatives.
