Aj F
Loss Consultant (Outside Sales) Restoration Division
Roseville, California, United States
Summary
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Rockstar🎓
Top SchoolAj F is a results-driven outside sales leader with 15 years of cross-industry experience scaling revenue and building teams from the ground up, most recently driving full-cycle restoration sales across Northern California and closing $700K–$1.5M contracts with a 25% conversion rate. He founded Epic Energy’s Restoration division and grew it to $14M by designing the sales playbook, pipeline, and B2B partnerships while reporting to the CEO. A former Navy operations manager who oversaw $1.5B in aircraft, Aj brings calm, operational discipline to high-pressure, emotionally charged customer engagements and emergency after-hours work. He pairs consultative field selling and sales enablement—evidenced by lifting conversion from 22% to 75% in 90 days—with hands-on technical curiosity, contributing VAD improvements to NVIDIA/NeMo on GitHub. Comfortable self-generating pipeline and managing complex projects end-to-end, he’s seeking B2B SaaS or solutions sales roles where performance and ownership are rewarded.
8 years of coding experience
18 years of employment as a software developer
Master of Fine Arts - MFA Visual Communications Photography, Master of Fine Arts - MFA Visual Communications Photography at San José State University
Github Skills (4)
machine-learning10
python10
pytorch9
speech-recognition8
Programming languages (2)
Github contributions (5)
NVIDIA/NeMo
Jun 2020 - Jan 2023
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Role in this project:
ML Engineer
ML EngineerContributions:342 reviews, 280 commits, 192 PRs in 2 years 7 months
Contributions summary:Aj primarily contributed to the development and improvement of a Voice Activity Detection (VAD) system within the NeMo framework. Their work involved the implementation of VAD scripts, tests, tutorials, and demonstrations of both offline and online microphone-based inference. Specifically, the user modified the code for incorporating posterior processing, threshold tuning, and integration with the overall ASR pipeline. The user also updated VAD, fixed and maintained scripts.
asrspeech-recognitionnatural-language-processingttsspeaker-diarization
fayejf/edge2styleCat
Dec 2019 - Dec 2019
Contributions:6 commits, 5 pushes, 1 branch in 1 day
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