Portfolio — 2026
Siddharth Patni
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Agentic AI & Full-Stack Engineer pursuing M.Sc. in Digital Technologies. Building autonomous LLM pipelines, observability platforms, and cloud-connected systems with Python, FastAPI, and Playwright.
Portfolio — 2026
Agentic AI & Full-Stack Engineer pursuing M.Sc. in Digital Technologies. Building autonomous LLM pipelines, observability platforms, and cloud-connected systems with Python, FastAPI, and Playwright.
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
Braunschweig, Germany
India
India
Selected work across agentic AI, LLM infrastructure and full-stack systems.
Drop-in proxy infrastructure for OpenAI and Anthropic models with full execution traces, evaluation layers and smart routing — built for production LLM workloads.
Adaptive learning platform powered by LLM-generated content pipelines. Personalizes study paths based on user progress and identified knowledge gaps.
Node-based visual workflow editor for building multi-step automations with production-scale support for conditional branching and REST API integrations.
AI-powered shopping assistant with natural-language product search. Integrates LLM reasoning with structured product data for Pepper and Temi service robots.
Automated captioning, media retrieval and GPU-accelerated rendering pipeline. Reduced production turnaround from 6 hours down to 20 minutes.
End-to-end diagnostic pipeline with ~85% accuracy; reduced per-case processing time from 30 minutes to under 10 seconds.
Interactive Skills Proficiency Map
I'm always open to discussing new opportunities, collaborations, or just chatting about AI, DevOps, and technology.