Summary
Salih S is a Senior LLM Platform Engineer with 11 years of experience building production-grade AI systems, currently focused on LLM performance, distributed fine-tuning, and cloud-native ML orchestration. He has repeatedly cut training costs and latency—most recently architecting pipelines that reduced training time and cost by ~70% using dynamic batching, mixed precision, FSDP sharding and LoRA/QLoRA. Equally fluent in research and product delivery, he has shipped RAG, multimodal chatbots, autonomous agents and recommendation engines across companies like NexGen Cloud, StudySmarter, JustWatch and holi.social. He bridges deep learning (transformers, RL, CV) with solid MLOps and backend skills (Kubernetes, FastAPI, Terraform, PostgreSQL), enabling real-time evaluation and multi-GPU inference at scale. Based in Berlin with an M.Sc. in AI from TU Freiburg, he’s notable for turning research ideas—actor-critic recommenders and embedding-based cold-start solutions—into measurable product KPIs. Salih combines hands-on system design with an eye for operational reliability, often automating evaluation and deployment to shorten the path from model experiment to enterprise usage.
11 years of coding experience
10 years of employment as a software developer
Master of Science (MS) Computer Science (Cognitive Technical Systems), Master of Science (MS) Computer Science (Cognitive Technical Systems) at The University of Freiburg
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at National University of Computer and Emerging Sciences
Urdu, German, English, Punjabi