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Titus M
@titus_tinch
Academic Editor Research Writing Specialist
Kenia
Engels
Over mij
I am a professional B2B writer, researcher, and tech specialist
with a background in academic research, coding, and content strategy.
I help businesses turn client wins into compelling case studies,
literature reviews, white papers, and technical documents that
attract leads, build trust, and close deals.
My edge: I understand both the technical and business side —
writing content that speaks to your audience with accuracy.
SaaS startup, consultant, or growing business — I deliver
publish-ready content on time, every time.
Let's make your expertise impossible to ignore.
Skills
Titus M
offline •
Gemiddelde reactietijd: 1 uur
Bekijk mijn diensten
Bewerken en herschrijven
I will expertly proofread and polish your thesis, dissertation, or research paper
Casestudy's
I will write a compelling b2b case study that converts leads into clients
Portfolio
Werkervaring
Freelance AI/ML Evaluator & Language SME
Fiverr • Freelance
Jan 2023 - Present • 3 yrs 4 mos
Served as Senior SME for adversarial LLM evaluation, conducting red-teaming of complex language reasoning chains to expose logical flaws and edge-case failures in large-scale language models. Performed Ground Truth Verification and Chain-of-Thought (CoT) auditing to measure step-by-step reasoning fidelity in bilingual and biomedical AI outputs. Provided structured human feedback for RLHF, Supervised Fine-Tuning (SFT), and Direct Preference Optimization (DPO) pipelines, improving model alignment in safety-critical domains.
Freelance AI/ML Evaluator & Language SME
Freelancer.com • Freelance
Jan 2023 - Present • 3 yrs 4 mos
Served as Senior SME for adversarial LLM evaluation, conducting red-teaming of complex language reasoning chains to expose logical flaws and edge-case failures in large-scale language models. Performed Ground Truth Verification and Chain-of-Thought (CoT) auditing to measure step-by-step reasoning fidelity in bilingual and biomedical AI outputs. Provided structured human feedback for RLHF, Supervised Fine-Tuning (SFT), and Direct Preference Optimization (DPO) pipelines, improving model alignment in safety-critical domains.
