Cybrent
- Terverifikasi
- Level Zinner 1
Seasoned Digital Technology Leader in Program Delivery Governance & Execution, Product Strategy, and AI Transformation & Governance with more than twenty years across regulated sectors including banking, healthcare, public-sector, MSME and enterprise SaaS. Skilled in scaling Project Portfolios, designing emotionally safe AI systems, strengthening enterprise product strategy and elevating Agile delivery maturity across distributed teams in India and global regions. Recognized for large-scale transformation impact including a statewide Educational Linux OS, AI emotional safety systems that reduced harmful exposure by 40 to 50 percent, and organizational delivery models that improved predictability and ROI.
SPESIALISASI & KUMPULAN KETERAMPILAN INTI
· Tata Kelola Program & Pengiriman - Manajemen Program, Transformasi Digital, Tata Kelola Pengiriman, Pengiriman Agile, Perencanaan PI, Tata Kelola Backlog, Manajemen Risiko, Kepemimpinan Lintas Fungsional
· Strategi & Pertumbuhan Produk - Strategi Produk, Pemetaan Jalan, Manajemen Portofolio, Penemuan, Strategi GTM, MVP, Analisis ROI, OKR dan KPI
· AI Transformation & Governance – Model Behaviour Tunning, AI Governance, Emotional Safety Design, Safety Protocols, AI Operations, LLM Tuning, Ethical AI Modulation, Interaction Safety Modelling
· Fundamental & Teknis - Pengambilan Keputusan Berbasis Data, Optimasi Proses, Rekayasa Konten Perusahaan, JIRA dan Confluence, PMP, SAFe, ITIL
Services I provide:
1. End to end product management consultation
2. UX Strategy and Design Thinking workshops
3. Agile Delivery Transformation and Coaching
4. Building COEs and Teams from ground-up
5. Trainings and workshops around User Centered Product Innovation, AI for Non-IT teams
6. Setting up LLM and tool agnostic AI Infrastructure for Non-IT organizations
7. Ethical AI Transformation and Governance Enablement
8. AI Protocols for AI Builders
Sesi ini benar-benar mengubah perspektif saya tentang bagaimana AI dapat bergerak melampaui sekadar alat dan menjadi mitra berpikir dalam pengambilan keputusan, pembinaan, dan strategi bisnis.
✨ Pembelajaran utama meliputi:
🔹 Memahami perbedaan operasional antara berbagai LLM
🔹 Bagaimana chatbot menafsirkan dan menanggapi masukan pengguna
🔹 Konsep AI Whispering vs Prompt Engineering
🔹 Menerapkan pagar pembatas AI yang etis melalui protokol terstruktur
Terima kasih banyak kepada Pravin karena telah menyederhanakan konsep AI yang kompleks dan membuat pembelajaran menjadi sangat praktis, relevan, dan siap menghadapi masa depan.