Fiqry Revadiansyah
Transforming Data into Intelligence
Data & AI executive with 7+ years of experience, currently leading AI and data innovation at Paper.id. 25+ speaker & educator at multiple universities.
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Transforming Data into Intelligence
Data & AI executive with 7+ years of experience, currently leading AI and data innovation at Paper.id. 25+ speaker & educator at multiple universities.
Press Enter to send or click the arrow
A journey through speaking engagements, workshops, and professional milestones
2025 - Jakarta, Indonesia
Speaker at AWS Summit Jakarta 2025, sharing expertise on the multi-agents collaboration
2025 - Jakarta, Indonesia
Conducted training sessions, enhancing team skills in data analytics at Bank Syariah Indonesia.
2023 - Jakarta, Indonesia
Delivered insights on AI & data-driven decision making for property technology platforms.
2023 - Jakarta, Indonesia
Conducted workshop on data governance and deep dive into Indonesian Personal Data Protection Act (UU PDP 2022).
2023 - Jakarta, Indonesia
Presented the role of data scientist in the future.
2024 - Jakarta, Indonesia
Served as city judge, reviewing hackathon submissions for 'Financial Inclusion' topic at Grab HQ.
2024 - Tangerang, Indonesia
Delivered closing seminar on Paper.id's engineering culture in AI and automation.
2024 - Jakarta, Indonesia
Conducted training sessions, enhancing team skills in data analytics at IFG Tower.
2023 - Jakarta, Indonesia
Delivered offline workshop on introduction to data analysis with SQL at LKPP.
2023 - Pontianak, Indonesia
Delivered webinar on 'Actuary Science and Data Science in Industry 4.0 Era'.
2022 - Sumedang, Indonesia
Spoke about harnessing Big Data & AI for achieving SDGs at Universitas Padjadjaran.
2020 - Bandung, Indonesia
Engaged with R Community x ML ID at Bukalapak, sharing insights on Time Series Analysis.
2019 - Thessaloniki, Greece
Presented NLP research findings at the International Federation of Classification Societies.
A curated collection of projects across AI engineering, data platforms, and analytics — each solving real business problems at scale.
Multi-modal document processing system handling 100K+ documents monthly with 95%+ accuracy.
LLM-powered agent that automates HR workflows — from resume screening to onboarding.
Intelligent deployment pipeline with AI-driven test selection and rollback prediction.
Data Built Tool
Google BigQuery
Google Cloud Run
Google Gemini
OpenAI GPT
Anthropic Claude
ArangoDB
FastAPI
Google Cloud Build
Google Cloud Composer
Cloud Functions
Google Datastream
Google Document AI
Looker Studio
Google Pub/Sub
Google Vertex AI
Metabase
MongoDB
MySQL
Python
R
Airflow
Google Cloud Platform
GitHub
LangChain
LangSmith
Mistral AI
Neo4j
Ollama
PostgreSQL
Data Built Tool
Google BigQuery
Google Cloud Run
Google Gemini
OpenAI GPT
Anthropic Claude
ArangoDB
FastAPI
Google Cloud Build
Google Cloud Composer
Cloud Functions
Google Datastream
Google Document AI
Looker Studio
Google Pub/Sub
Google Vertex AI
Metabase
MongoDB
MySQL
Python
R
Airflow
Google Cloud Platform
GitHub
LangChain
LangSmith
Mistral AI
Neo4j
Ollama
PostgreSQL
Data Built Tool
Google BigQuery
Google Cloud Run
Google Gemini
OpenAI GPT
Anthropic Claude
ArangoDB
FastAPI
Google Cloud Build
Google Cloud Composer
Cloud Functions
Google Datastream
Google Document AI
Looker Studio
Google Pub/Sub
Google Vertex AI
Metabase
MongoDB
MySQL
Python
R
Airflow
Google Cloud Platform
GitHub
LangChain
LangSmith
Mistral AI
Neo4j
Ollama
PostgreSQL
Data Built Tool
Google BigQuery
Google Cloud Run
Google Gemini
OpenAI GPT
Anthropic Claude
ArangoDB
FastAPI
Google Cloud Build
Google Cloud Composer
Cloud Functions
Google Datastream
Google Document AI
Looker Studio
Google Pub/Sub
Google Vertex AI
Metabase
MongoDB
MySQL
Python
R
Airflow
Google Cloud Platform
GitHub
LangChain
LangSmith
Mistral AI
Neo4j
Ollama
PostgreSQL
Data Built Tool
Google BigQuery
Google Cloud Run
Google Gemini
OpenAI GPT
Anthropic Claude
ArangoDB
FastAPI
Google Cloud Build
Google Cloud Composer
Cloud Functions
Google Datastream
Google Document AI
Looker Studio
Google Pub/Sub
Google Vertex AI
Metabase
MongoDB
MySQL
Python
R
Airflow
Google Cloud Platform
GitHub
LangChain
LangSmith
Mistral AI
Neo4j
Ollama
PostgreSQL
Data Built Tool
Google BigQuery
Google Cloud Run
Google Gemini
OpenAI GPT
Anthropic Claude
ArangoDB
FastAPI
Google Cloud Build
Google Cloud Composer
Cloud Functions
Google Datastream
Google Document AI
Looker Studio
Google Pub/Sub
Google Vertex AI
Metabase
MongoDB
MySQL
Python
R
Airflow
Google Cloud Platform
GitHub
LangChain
LangSmith
Mistral AI
Neo4j
Ollama
PostgreSQL
Data Built Tool
Google BigQuery
Google Cloud Run
Google Gemini
OpenAI GPT
Anthropic Claude
ArangoDB
FastAPI
Google Cloud Build
Google Cloud Composer
Cloud Functions
Google Datastream
Google Document AI
Looker Studio
Google Pub/Sub
Google Vertex AI
Metabase
MongoDB
MySQL
Python
R
Airflow
Google Cloud Platform
GitHub
LangChain
LangSmith
Mistral AI
Neo4j
Ollama
PostgreSQL
Data Built Tool
Google BigQuery
Google Cloud Run
Google Gemini
OpenAI GPT
Anthropic Claude
ArangoDB
FastAPI
Google Cloud Build
Google Cloud Composer
Cloud Functions
Google Datastream
Google Document AI
Looker Studio
Google Pub/Sub
Google Vertex AI
Metabase
MongoDB
MySQL
Python
R
Airflow
Google Cloud Platform
GitHub
LangChain
LangSmith
Mistral AI
Neo4j
Ollama
PostgreSQL
My frontend programming language is English. I write everything as a prompt and pass it to AI models.