Applied AI/ML Engineer at Siemens Healthineers, MSc Data Science candidate at FAU Erlangen-Nürnberg, ex-Quant Developer at Citi.

I build backend systems, observability tooling, and LLM-powered applications — with a growing focus on healthcare AI, secure data infrastructure, and agentic workflows. I am a curious dev who likes to drive impact by taking things from "works on my laptop" to "runs reliably in production."

I enjoy building under pressure. Hackathons are where I'm most in my element. Outside work, I follow AI/ML research closely and like poking at the assumptions behind current approaches rather than just applying them.

Working across AI/ML Engineering, Backend Engineering, LLM/Generative AI systems, and Cloud-Native infrastructure — open to Software Engineer, AI Engineer, Founding Engineer, Forward Deployed Engineer(FDE) and Machine Learning Engineer roles.

📍 Erlangen, Germany  •  navneetkishan.me  •  LinkedIn  •  navneetkishan54@gmail.com

• Building production Python data pipelines for MRI diagnostic imaging @ Siemens Healthineers
• Specializing in AI/ML for my MSc Data Science @ FAU Erlangen-Nürnberg
• Exploring agentic workflows, RAG systems, and LLM cost/usage control
• Open to conversations, conferences, and hackathons across Europe

MedLedger — Full-stack, containerized EHR platform Python FastAPI Docker MongoDB HAPI FHIR FHIR-compliant, blockchain-auditable health record system with role-based access control and anomaly detection on workload behavior. Bachelor's thesis (Grade 1.0), special mention at the TDK Scientific Conference @ Siemens Mobility.

PaperLens — Cost-capped autonomous LLM agent Python Claude API Agentic Workflows Agentic pipeline that extracts claims from papers, provisions repositories, and self-corrects on failure via automated retries. Ships a real-time dashboard for run status, pass rates, and LLM spend — built with hard per-run cost caps and configurable model/backend selection.

Radiology Dx Agent — Agentic RAG for differential diagnosis Python RAG LLM APIs Evidence-based reasoning assistant for radiology differential diagnosis, combining retrieval-augmented generation with structured clinical evidence.

GNN-Based Path Planning — Research publication Python GNNs Search Algorithms Comparative analysis of data-driven GNN-based path planning against classical search algorithms.

Languages: Python · SQL · JavaScript · C# · Java

Platform & Infrastructure: Docker · Docker Compose · Linux · Git · CI/CD · AWS (fundamentals) · Infrastructure as Code · Microservices · Cloud-Native Architecture

Observability & Reliability: Application Monitoring · Logging & Log Analysis · Alerting · Incident Management · Root Cause Analysis · Debugging · Dashboards · Telemetry

AI / LLM: LLM APIs & Integration · LangChain · RAG · FAISS · Vector Databases · Agentic Workflows · LLM Cost Management · Token Budgeting · PyTorch · TensorFlow · MCP Servers

Backend & Security: FastAPI · REST APIs · Node.js · MongoDB · pytest · API Authentication · RBAC · Data Privacy

• Applied AI/ML Engineer, Siemens Healthineers (02/2026 – Present) — Production Python pipelines for MRI; cut end-to-end runtime by 30%
• Quantitative Developer, Citi (06/2024 – 03/2025) — Rebuilt internal monitoring/observability framework across a distributed production system
• Programming Instructor, ELTE (02/2025 – 06/2025) — Taught Python & OOP/Java to 140+ students
• Technical Lead, Google Developers Group on Campus (10/2024 – 06/2025) — Built automated evaluation frameworks for coding challenges