Jasman User
@jasman_jasman
AI Engineer building production RAG, multi-agent LLM systems, and air-gapped on-prem deployments for regulated document intelligence.
What I'm looking for
I'm an AI Engineer with 4+ years of experience designing, building, and deploying production RAG pipelines and multi-agent LLM systems. I currently build a fully on-premise, air-gapped RAG platform for regulated document intelligence — hybrid retrieval (dense + BM25 + RRF), LangGraph multi-agent orchestration (router → tool-executor → responder), and LLM inference on constrained GPUs (llama.cpp, vLLM) with zero external API dependencies for data-sovereignty compliance.
My background spans FastAPI backend engineering (async PostgreSQL, Celery/Redis task queues, JWT auth, Docker), vector-DB migrations (ChromaDB → Milvus/Qdrant), and open-weight model selection for constrained hardware. Earlier in my career, I built AI-powered analytics dashboards and automation pipelines that cut manual processing time from hours to minutes, and led 35+ hardware development projects in TV R&D, building Python automation frameworks that reduced manual monitoring workload by 70%.
I collaborate closely with cross-functional teams to translate business and compliance requirements into reliable, production-grade AI systems — with a focus on retrieval quality, system reliability, and measurable operational impact.
Experience
Work history, roles, and key accomplishments
Ai Engineer
Aether Ai
Mar 2026 - Present (7 months)
AI Engineer at Opus Solutions / Aether AI, building a sovereign, air-gapped on-premise RAG platform for Indonesian legal document intelligence. Designed the FastAPI RAG backend (hybrid retrieval, async PostgreSQL, Celery/Redis), built LangGraph multi-agent systems, and led vector-DB and inference infrastructure for constrained on-prem GPU deployment.
Developed Streamlit AI/analytics dashboards and automated data acquisition workflows, reducing decision-making time by 40% and processing time from 3 hours to 5 minutes for factory datasets.
Automated TV hardware testing and built diagnostic systems that reduced manual monitoring workload by 70% and generated structured datasets for defect detection and ML experimentation.
Education
Degrees, certifications, and relevant coursework
Universitas Islam Indonesia
Bachelor of Electrical Engineering, Electrical Engineering
Grade: GPA: 3.61 / 4.00 — Cum Laude
Bachelor of Electrical Engineering degree completed with a cumulative GPA of 3.61/4.00 and awarded Cum Laude in July 2019.
Tech stack
Software and tools used professionally
Tableau
Google Cloud Platform
GitHub
Kubernetes
GitHub Actions
NumPy
Pandas
PostgreSQL
Microsoft SharePoint
Gmail
Google Analytics
Microsoft Teams
Redis
React
Python
HTML5
CSS 3
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Streamlit
HubSpot
FastAPI
Microsoft Office 365
ClickUp
Microsoft Excel
Visual Studio Code
Docker
Root Cause
Service Layers
Google BigQuery
Amazon Web Services (AWS)
Microsoft Power BI
SQL
Amazon SageMaker
XGBoost
Hugging Face
LightGBM
MinIO
LangChain
ChromaDB
Pinecone
OpenAI API
Score
Faiss
LangGraph
Apollo.io
Google Cloud Vertex AI Workbench
Clay
Claude Code
Factory
Availability
Location
Authorized to work in
Portfolio
jasman123.github.io/jasman-portfolioSalary expectations
Social media
Job categories
Skills
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