Generative AI Multi-Agent Systems
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Summary
Designed and implemented advanced multi-agent systems to orchestrate complex, end-to-end workflows for content generation and data processing pipelines.
Multidisciplinary AI engineer with 7+ years of experience integrating hardware design, psychophysiological research, and intelligent automation to deliver high-impact solutions. Currently architecting AI-powered content pipelines and knowledge graphs at openHPI, serving over 1 million learners, with a proven track record in deploying enterprise RAG/CAG/GraphRAG systems. Possessing unique expertise in synchronized biosignal acquisition, evidenced by the validated StreamSense platform and a study proving 107% alpha power recovery, I combine deep technical skills (Python, TypeScript, Next.js) with specialized knowledge in EEG analysis, generative AI, and learning analytics, driven by a passion for technology that amplifies human capability.
Content IT Manager & AI Engineer
Potsdam, Brandenburg, Germany
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Summary
Led AI automation initiatives for openHPI, Europe's largest MOOC platform, directly impacting 1M+ global learners through advanced content pipelines and knowledge graph development.
Highlights
Architected and implemented enterprise RAG/CAG pipelines, projected to reduce content processing time by 60% and achieve $180K/year in operational savings for 1M+ learners.
Developed comprehensive knowledge graphs using Neo4j and Pinecone, semantically linking over 1,000 courses to enhance content discoverability and learning pathways.
Deployed MCP agent orchestration systems for complex multi-step workflows, achieving a 94% content accuracy rate across various automated processes.
Spearheaded the development and deployment of 4 production automation pipelines, streamlining media generation, data analytics, content research, and material ingestion.
Research Associate & Master's Student
Potsdam, Brandenburg, Germany
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Summary
Led psychophysiological research and advanced biosignal platform development, culminating in a Best Paper Award at eTELEMED 2024 for innovative contributions.
Highlights
Designed and validated StreamSense, a multi-sensor platform achieving sub-50ms synchronization accuracy across EEG, ECG, EDA, and respiration biosignal modalities.
Directed a human intervention study with 10 participants and 50 recordings, demonstrating a 107% alpha power recovery through a novel yoga intervention protocol.
Developed a sophisticated cognitive load induction platform utilizing a dual-task paradigm (N-back + Stroop) for precise psychophysiological research.
Authored and implemented the ProSense toolkit, providing professional-grade solutions for biosignal analysis and visualization, enhancing research capabilities.
Test Automation Engineer
Bangalore, Karnataka, India
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Summary
Engineered robust test automation solutions that significantly reduced validation cycles and optimized firmware performance for critical product development.
Highlights
Implemented comprehensive test automation strategies that reduced validation cycles by 40% and optimized firmware response times by 25%.
Developed custom Data Acquisition (DAQ) integrations and automated power measurement systems, leveraging NI LabVIEW for enhanced testing efficiency.
Hardware Design Engineer
Bangalore, Karnataka, India
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Summary
Designed and delivered production-ready 6-layer PCBs for a range of IoT devices, ensuring high performance and cost efficiency.
Highlights
Successfully designed and delivered 6-layer Printed Circuit Boards (PCBs) for production IoT devices, including Bluetooth speakers and smart appliances.
Achieved zero-defect hardware manufacturing and reduced Bill of Materials (BOM) costs by 15% through optimized design and rigorous EMI-EMC compliance testing.
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Master of Science
Digital Health
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Bachelor of Technology
Electronics & Instrumentation Engineering
Awarded By
eTELEMED
Awarded for groundbreaking research on stress induction classification and yoga's effectiveness in reducing stress levels, presented at the eTELEMED 2024 conference.
Production LLM Deployment, Gemini, GPT, RAG/CAG Architecture, Knowledge Graphs, Neo4j, Vector Databases, Pinecone, MCP Orchestration.
Next.js 15, React, TypeScript, Python, NumPy, Pandas, SciPy, Three.js, WebGL, Google Genkit, GraphQL/REST APIs.
EEG Analysis, Heart Rate Variability, Signal Synchronization, Spectral Analysis.
Google Cloud Platform, Docker/Kubernetes, CI/CD Pipelines, Firebase, AWS Services.
PCB Design, Altium, KiCad, Sensor Integration, NI LabVIEW Automation, ARM Cortex-M, EMI-EMC Testing.
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Summary
Designed and implemented advanced multi-agent systems to orchestrate complex, end-to-end workflows for content generation and data processing pipelines.
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Summary
Developed a dual-narrative interactive portfolio website featuring 20,000-particle Three.js systems, a Matrix-inspired landing page, and philosophical design elements. Incorporated audio-reactive behaviors and mobile-responsive adaptive particle counts for a dynamic user experience.