Summary
Rajan Ambrish is an AI/ML engineer with 11 years of experience applying large-scale machine learning and data science to social media, robotics, and medical imaging problems. He builds and deploys state-of-the-art LLM and NLP solutions (Llama3/Llama2, T5, BERT/GPT4) and pairs them with RLHF, explainability, and association-rule/network analysis to surface actionable insights from noisy social data. His background spans privacy-preserving and federated learning, GPU-accelerated pipelines, and research-driven systems work such as neuron-centric databases and visual SLAM, showing comfort across both edge and cloud environments. At Artis International he focuses on topic-salient text generation, narrative and bot detection, and graph-based social analysis, while earlier research at ASU translated into practical federated face-recognition and storage/latency optimizations for constrained devices. He combines academic rigor from an MS in Computer Science with hands-on engineering, and a less obvious strength is his ability to move between low-level systems (CUDA, database storage) and high-level model design to deliver end-to-end ML solutions.
11 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Arizona State University
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Vellore Institute of Technology
French, Tamil, English