Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I am an AI Software Engineer focused on shipping reliable, latency-aware AI products. I enjoy building end-to-end systems that blend RAG pipelines, fine-tuning, and robust ML inference into real-world applications. I’m passionate about creating AI that is functional, ethical, and trustworthy, and I love collaborating across teams to translate complex requirements into scalable solutions.…

DANIEL JEBAKUMAR IMMANUEL

AI Engineer, AI Developer, Data Scientist, +2





I am an AI Software Engineer focused on shipping reliable, latency-aware AI products. I enjoy building end-to-end systems that blend RAG pipelines, fine-tuning, and robust ML inference into real-world applications. I’m passionate about creating AI that is functional, ethical, and trustworthy, and I love collaborating across teams to translate complex requirements into scalable solutions.…

Available to hire

I am an AI Software Engineer focused on shipping reliable, latency-aware AI products. I enjoy building end-to-end systems that blend RAG pipelines, fine-tuning, and robust ML inference into real-world applications. I’m passionate about creating AI that is functional, ethical, and trustworthy, and I love collaborating across teams to translate complex requirements into scalable solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Javanese

Advanced

Afar

Intermediate

Work Experience

Software Engineer at Ernst & Young

January 1, 2022 - December 1, 2023

Implemented a real-time financial analytics platform by integrating XGBoost-based predictive models with live market data streams, reducing manual analyst workflows by approximately 35%. Built a labeled dataset and an LSTM-based anomaly detector to flag irregular trades, cutting actionable data latency to 5 minutes. Implemented model drift detection with user-facing alerts and optimized feature retrieval with caching and precomputed aggregations, reducing latency from 800ms to 480ms and enabling 4 client-facing dashboards.

Software Engineer at Xpheno

July 1, 2021 - January 1, 2022

Improved F1-score by 14% for a Transformer-based toxic comment classifier via targeted data augmentation for multilingual and adversarial inputs. Integrated ML inference into a production Django backend with zero API regression and reduced out-of-distribution failures by 18% through threshold tuning and input normalization.

Computer Vision Intern at Zion Global Technologies

February 1, 2021 - April 1, 2021

Built a real-time logo detection pipeline for live sports broadcasts using CNNs, achieving 25+ FPS by optimizing confidence thresholds for reliable brand placement tracking.