LinkedIn Content Strategy & Writing Style
Executive Director @ Vets Who Code | AI Engineer | USAF Veteran
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Jerome Hardaway positions himself as a high-level technical architect and mission-driven leader who bridges the gap between veteran advocacy and cutting-edge AI engineering. His content strategy centers on the practical application of LLMs and computer vision, moving beyond theoretical hype to demonstrate how standardized prompt engineering and custom image classifiers solve real-world problems. What makes Jerome notable is his commitment to radical transparency in technical leadership, where he openly shares insights on everything from token cost optimization to the psychological friction of ultrawide monitors. He operates at a unique intersection of mentorship and systems architecture, frequently highlighting how he delegates staff-level engineering tasks to alumni to foster a high-growth, supportive ecosystem for the veteran community.
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5.3
10
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Finally updated and added every board member to the website. Thank you for upporting our work Addy Osmani, Brian Holt, Alex Reyes, MBA, Jarrad Turner Sr., Natalia Bailey, Emily Freeman, Christina Mor…
I've just finalized the detailed plan for "Securing a Software Engineering Position in the AI Age," but it's still too lengthy to present. The combination of tools I'm developing—like dashboards, form…
Grokking Alogrithms is one of my favorite books, so when I saw that they had one for AI algos I had to get my hands on it. So far Grokking Artificial Intellingence Algorithms is a fun read:
I delved into computer vision by creating a project that genuinely interested me. Rather than relying on a generic dataset, I developed a Military Ribbon Rack Identifier utilizing images of U.S. Army…
Reducing the cost of using large language models involves more than just selecting different models—it’s about leveraging Prompt Engineering effectively. By standardizing prompt generators throughout…
Huge shout out to Vets Who Code alum Brad Hankee for working together to add this Google Gemini imagen implementation for our blogs. Now both the image and the audio overview are generated with AI bas…
5.3 posts/week
Posts / Week
1.5 days
Days Between Posts
1
Total Posts Analyzed
HIGH
Posting Frequency
6.2%
Avg Engagement Rate
STABLE
Performance Trend
55
Avg Length (Words)
MEDIUM
Depth Level
INTERMEDIATE
Expertise Level
0.72/10
Uniqueness Score
NO
Question Usage
0.05%
Response Rate
Writing style breakdown
<start of post>
Optimizing the developer experience often requires looking beyond the code and focusing on the friction within the environment itself. Recently, I spent time auditing our CI/CD pipelines for the Vets Who Code platform to identify where our contributors were losing the most time. I discovered that our automated test suites were redundant in several areas, leading to a 15-minute delay for every pull request. By refactoring our GitHub Actions to utilize parallel execution and caching dependencies more aggressively, I reduced the build time to under four minutes. This change isn't just about speed; it's about maintaining the flow state for our developers. When a veteran is learning to contribute to open source, a 15-minute wait is an obstacle to growth. Reducing that friction ensures they stay engaged and productive. In any engineering organization, developer velocity is a direct reflection of how much you value your team's time. Don't let inefficient tooling become your biggest bottleneck.
<end of post>
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