Siddharth Patni
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AI & Autonomous Systems Engineer pursuing M.Sc. in Digital Technologies. Building intelligent systems with LLM pipelines, computer vision, and production-grade MLOps infrastructure.
AI & Autonomous Systems Engineer pursuing M.Sc. in Digital Technologies. Building intelligent systems with LLM pipelines, computer vision, and production-grade MLOps infrastructure.
LLMs, RAG Pipelines, Computer Vision, LangChain — Designing and deploying intelligent autonomous systems at production scale
MLflow, DVC, Docker, Kubernetes — Building reproducible ML pipelines and deploying models with CI/CD automation
React, FastAPI, Node.js, PostgreSQL — Building production-grade web applications from frontend to backend
Docker, Kubernetes, Jenkins, GitHub Actions — Orchestrating CI/CD pipelines and cloud infrastructure
I'm an AI & Autonomous Systems Engineer focused on building production-grade intelligent systems — from LLM-powered applications and RAG pipelines to computer vision systems for real-world autonomous decision-making.
Currently pursuing my M.Sc. in Digital Technologies at TU Clausthal & Ostfalia University, I combine deep ML knowledge with applied engineering. My projects span AI-driven safety systems, intelligent chatbots, and automated content pipelines — each built with proper MLOps practices, containerization, and CI/CD.
I don't just train models — I architect end-to-end AI solutions, from data ingestion to production deployment, with a strong focus on reproducibility, scalability, and real-world impact.
Braunschweig, Germany
Lower Saxony
Germany
Specializing in Information & Communication Technologies with focus on MLOps, AI infrastructure, and advanced automation systems.
India
India
India
India
Open-source educational platform focusing on engineering decisions for AI models under real constraints. Features asynchronous backend, task queues, and streaming LLM responses.
AI-powered driver safety system integrating deep learning models to enhance road safety with real-time traffic sign recognition, pedestrian detection, and driver monitoring.
End-to-end data-processing web app with model-driven inference. Reduced processing time from ~30 minutes to seconds through pipeline optimization.
Interactive Skills Proficiency Map
I'm always open to discussing new opportunities, collaborations, or just chatting about AI, DevOps, and technology.