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Results-driven AI Engineer with 1+ year of experience and a strong foundation in Mathematics, proven in architecting production-grade ML systems. Expert in deploying high-throughput LLM/RAG pipelines, multi-agent AI systems, and API development (FastAPI). Adept at transforming complex POCs into scalable, real-time architectures utilizing Docker, CI/CD (GitHub Actions), and GPU infrastructure. Fast learner with a track record of optimizing AI solutions for performance and cost, recognized as Best Final Project and MVP across top national AI bootcamps.…Results-driven AI Engineer with 1+ year of experience and a strong foundation in Mathematics, proven in architecting production-grade ML systems. Expert in deploying high-throughput LLM/RAG pipelines, multi-agent AI systems, and API development (FastAPI). Adept at transforming complex POCs into scalable, real-time architectures utilizing Docker, CI/CD (GitHub Actions), and GPU infrastructure. Fast learner with a track record of optimizing AI solutions for performance and cost, recognized as Best Final Project and MVP across top national AI bootcamps.

Sri Lutfiya Dwiyeni

AI Engineer, Data Scientist, Software Engineer, +2

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Results-driven AI Engineer with 1+ year of experience and a strong foundation in Mathematics, proven in architecting production-grade ML systems. Expert in deploying high-throughput LLM/RAG pipelines, multi-agent AI systems, and API development (FastAPI). Adept at transforming complex POCs into scalable, real-time architectures utilizing Docker, CI/CD (GitHub Actions), and GPU infrastructure. Fast learner with a track record of optimizing AI solutions for performance and cost, recognized as Best Final Project and MVP across top national AI bootcamps.…Results-driven AI Engineer with 1+ year of experience and a strong foundation in Mathematics, proven in architecting production-grade ML systems. Expert in deploying high-throughput LLM/RAG pipelines, multi-agent AI systems, and API development (FastAPI). Adept at transforming complex POCs into scalable, real-time architectures utilizing Docker, CI/CD (GitHub Actions), and GPU infrastructure. Fast learner with a track record of optimizing AI solutions for performance and cost, recognized as Best Final Project and MVP across top national AI bootcamps.

Available to hire

Results-driven AI Engineer with 1+ year of experience and a strong foundation in Mathematics, proven in architecting production-grade ML systems. Expert in deploying high-throughput LLM/RAG pipelines, multi-agent AI systems, and API development (FastAPI).

Adept at transforming complex POCs into scalable, real-time architectures utilizing Docker, CI/CD (GitHub Actions), and GPU infrastructure. Fast learner with a track record of optimizing AI solutions for performance and cost, recognized as Best Final Project and MVP across top national AI bootcamps.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Indonesian

Fluent

English

Intermediate

Work Experience

Data Scientist (Project-Based) at NoLimit Indonesia

March 1, 2026 - June 30, 2026

Architected a 4-agent dual-LLM pipeline (GPT-4o-mini & local Qwen) to generate zero-touch intelligence reports via python-pptx and SendGrid, reducing manual compilation time from 24 hours to under 60 minutes. Redesigned data ingestion for AI summarization microservices using asynchronous processing to cut external API fetching time by 88% and halve inference latency. Evaluated and deployed LLM quantization frameworks (AWQ, GPTQ) and FP8 KV Cache on NVIDIA L40S GPUs, achieving 4.9x compression and improved instruction-following via QLoRA. Built scalable Elasticsearch async ETL pipelines processing 100K+ daily posts with GPU-accelerated BERTopic clustering, Leiden community detection, and RAG chatbots for enterprise clients. Partnered with DevOps to deploy agentic AI systems with FastAPI, Airflow, Redis, PostgreSQL, MinIO, and automated CI/CD via GitHub Actions. Maintained and improved a LangGraph-based chatbot using LangSmith observability and robust date extraction for higher accuracy.

Data Analyst Intern at Badan Pusat Statistik (BPS) Cirebon

January 1, 2024 - February 29, 2024

Completed a 1-month internship contributing to data analysis and visualization. Produced 12 published infographics for the organization’s website and supported accurate payroll and asset reporting for 24 employees and 35 fixed assets using Excel. Performed comprehensive reporting and visualization on real-world government datasets to support informed decision-making.