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    Siddhant Gadamsetti

    SIDDHANT GADAMSETTI

    AI Engineer • Digital Health Researcher

    "Like atoms forming molecules, I transform fundamental skills into solutions for any challenge"
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    SIDDHANT GADAMSETTI

    AI Engineer • Digital Health Researcher

    Multidisciplinary AI engineer with 7+ years bridging hardware design, psychophysiological research, and intelligent automation. Currently architecting AI-powered content pipelines and knowledge graphs at openHPI, serving 1M+ learners. Proven track record from designing production PCBs for IoT appliances at Wipro to deploying enterprise RAG/CAG systems with MCP orchestration.

    Unique expertise in synchronized biosignal acquisition; designed and validated StreamSense multi-sensor platform through controlled stress-yoga intervention study with 10 participants, proving measurable stress reduction.

    Combines deep technical skills (Python, TypeScript, Three.js, Next.js) with specialized knowledge in EEG analysis, generative AI, and learning analytics. Deliberately moved between domains: hardware → test automation → biosignals → AI systems; avoiding Knowledge Entrenchment while building a foundation that spans from electronics to informatics to consciousness to AI.

    Passionate about technology that amplifies human capability rather than replaces it - from brain-computer interfaces to contemplative neuroscience.

    Featured Projects

    Select categories to explore interdisciplinary projects • Multiple selections supported

    Resonant Self: Dual-Narrative Portfolio

    AI EngineeringDesign Thinking

    Three.js Particle Systems & Philosophical Web Experience

    Personal Project • October 2025

    Interactive portfolio website featuring dual narrative paths (Atman/Atom), Matrix-inspired landing, and 20,000-particle Three.js systems. Built with Next.js 15, TypeScript, and custom particle physics implementing four dynamic formations (Scholar, Builder, Cosmic, Grid). Demonstrates full-stack capabilities, 3D graphics programming, and philosophical design thinking.

    Impact

    • ▹20,000 real-time particles with curl noise physics
    • ▹Four cycling formations with smooth interpolation
    • ▹Matrix rain with 2,000 falling katakana glyphs
    • ▹Dual-narrative system (professional/philosophical)
    • ▹Audio-reactive particle behavior (optional microphone)
    • ▹Scroll-based opacity transitions and content reveals
    • ▹Mobile-responsive with adaptive particle counts
    • ▹GSAP animation choreography for transitions

    Tech Stack

    Next.js 15TypeScriptThree.js r168ReactGSAPTailwind CSSshadcn/uiWebGLTurbopackFirebase App HostingGoogle Genkit

    openHPI AI Automation Platform

    AI EngineeringSystems ThinkingDesign Thinking

    Context-Aware Knowledge Systems

    Hasso Plattner Institute • July 2024 – Present

    Leading AI automation initiatives for one of Europe's largest MOOC platforms, serving 1M+ learners globally. Architected enterprise RAG/CAG pipelines aiming for a 60% reduction in content processing time and $180K/year operational savings. Built knowledge graphs connecting 1,000+ courses with semantic relationships using Neo4j and Pinecone. Deployed MCP agent orchestration for complex multi-step workflows with 94% content accuracy. Developed 4 production automation pipelines: media generation, automated data analytics, content research, and material ingestion.

    Impact

    • ▹Architected enterprise RAG/CAG pipelines aiming at 60% reduction in content processing time
    • ▹$180K/year operational savings target through automation
    • ▹Built knowledge graphs connecting 1,000+ courses using Neo4j and Pinecone
    • ▹Deployed MCP agent orchestration achieving 94% content accuracy
    • ▹Developed 4 production automation pipelines (media generation, data analytics, content research, material ingestion)

    Tech Stack

    Next.js 15TypeScriptGoogle GenkitGemini 2.5 FlashNeo4jPineconePostgreSQLGCP Cloud RunGraphQL

    AI Workflow Portal

    AI EngineeringSystems ThinkingDesign Thinking

    Agentic Workflows & Resource Development

    Hasso Plattner Institute • 2024 – Present

    Comprehensive documentation portal for openHPI codebase analysis and AI-powered agentic workflows. Includes 5 automation pipelines: media generation, course overview reports, content research, and material ingestion. Novel multi-run consensus methodology mapping 900+ components across 33 functional clusters with DORA-informed framework.

    Impact

    • ▹900+ components mapped with 68% source code coverage
    • ▹33 functional clusters across 7 categories identified
    • ▹138 component relationships documented
    • ▹Novel multi-run AI consensus methodology (0.8+ confidence)
    • ▹5 automated pipelines deployed to production
    • ▹Developer onboarding time reduced by 50%
    • ▹Custom knowledge graph engine for dependency mapping

    Tech Stack

    Next.jsTypeScriptGoogle Gemini 2.5 FlashD3.jsMCP ServersGitHub ActionsPythonMermaid.js

    Cognitive Load Induction Platform

    Digital Health ResearchDesign Thinking

    Online Psychophysiological Experiment

    Hasso Plattner Institute • 2022 – 2024

    Web-based experiment platform for inducing and measuring cognitive load using dual-task paradigm (N-back + Stroop). Part of master's thesis research on multimodal stress measurement. Won Best Paper Award at eTELEMED 2024.

    Impact

    • ▹🏆 Best Paper Award at eTELEMED 2024
    • ▹Validated cognitive load manipulation protocol
    • ▹Published in peer-reviewed conference
    • ▹Open-source experiment framework for researchers

    Tech Stack

    JavaScriptPsychoPyPavloviaPythonHTML5CSS3Statistical Analysis

    StreamSense

    Digital Health ResearchSensors & HardwareSystems Thinking

    Multi-Sensor Psychophysiological Research Platform

    Hasso Plattner Institute • 2022 – 2024

    Synchronized multi-sensor biosignal platform for psychophysiological research. Validated through human study proving measurable stress reduction through yoga intervention. Won Best Paper Award at eTELEMED 2024.

    Impact

    • ▹🏆 Best Paper Award at eTELEMED 2024
    • ▹275+ hours of validated research data
    • ▹10 participants, 50 sessions, zero technical failures
    • ▹107% alpha power recovery post-yoga
    • ▹<50ms synchronization accuracy across 4 modalities

    Tech Stack

    PythonLab Streaming LayerNumPyPandasSciPyPsychoPyMatplotlibHDF5MNE-Python

    ProSense

    Digital Health ResearchSensors & Hardware

    Professional Biosignal Analysis Toolkit

    Hasso Plattner Institute • 2022 – 2024

    Python toolkit for professional-grade biosignal analysis, preprocessing, and visualization. Designed for researchers working with EEG, ECG, EDA, and respiratory data. Part of award-winning thesis research.

    Impact

    • ▹🏆 Best Paper Award at eTELEMED 2024
    • ▹Automated artifact detection and removal
    • ▹Standardized preprocessing pipeline for 4 biosignal types
    • ▹Publication-ready visualization tools
    • ▹Open-source for research community

    Tech Stack

    PythonSciPyNumPyPandasMatplotlibMNE-PythonNeuroKit2Seaborn

    Hardware Engineering Portfolio

    Sensors & HardwareSystems Thinking

    PCB Design & Embedded Systems

    Wipro Limited & Intel Corporation • 2017 – 2020

    Production PCB design for consumer IoT products, test automation framework development, and embedded systems programming. Designed complete electronic/sensory suites for Bluetooth speakers, smart food processors, smart sous vide cookers, and variable DC power supplies from ground-up. Includes competitive teardown analysis, EMI-EMC testing, and PCB thermal optimization.

    Impact

    • ▹6-layer PCBs for production IoT devices (Bluetooth speakers, smart appliances)
    • ▹Complete product design: Bluetooth speakers, smart food processor, sous vide, DC power supply
    • ▹Competitive teardown analysis and reverse engineering
    • ▹EMI-EMC compliance testing and certification (FCC/CE/UL)
    • ▹PCB thermal analysis and optimization
    • ▹40% reduction in validation time through NI LabVIEW automation
    • ▹Zero-defect hardware deployments
    • ▹NI LabVIEW automation for Intel testbed power measurements

    Tech Stack

    Altium DesignerKiCadC/C++PythonNI LabVIEWMATLABARM Cortex-MEMI-EMC Testing

    Technical Skills

    AI/ML Engineering

    • ▹Production LLM Deployment
    • ▹RAG/CAG Architecture
    • ▹Prompt Engineering
    • ▹Vector Databases (Pinecone)
    • ▹Knowledge Graphs (Neo4j)
    • ▹MCP Orchestration

    Software Engineering

    • ▹Next.js 15 / React / TypeScript
    • ▹Python (NumPy, Pandas, SciPy)
    • ▹Three.js / WebGL
    • ▹Google Genkit
    • ▹Serverless Architecture
    • ▹GraphQL / REST

    Biosignal Processing

    • ▹EEG Analysis
    • ▹Heart Rate Variability
    • ▹Electrodermal Activity
    • ▹Signal Synchronization
    • ▹Artifact Detection
    • ▹Spectral Analysis

    DevOps & Cloud

    • ▹Google Cloud Platform
    • ▹CI/CD Pipelines
    • ▹Docker
    • ▹Observability & Monitoring
    • ▹Cost Optimization
    • ▹Firebase

    Experience

    Content IT Manager & AI Engineer

    Hasso Plattner Institute (openHPI)

    Potsdam, Germany • July 2024 – Present

    Leading AI automation initiatives for Europe's largest MOOC platform, serving 1M+ learners globally.

    • ▹Architected enterprise RAG/CAG pipelines reducing processing time by 60%
    • ▹Built knowledge graph connecting 1,000+ courses with semantic relationships
    • ▹Deployed MCP agent orchestration for complex multi-step workflows
    • ▹Developed 5 production automation pipelines (media generation, course reports, content research, material ingestion)
    • ▹Created comprehensive AI workflow documentation portal for team collaboration
    • ▹Achieved $180K/year operational savings through intelligent automation
    • ▹Maintained 94% AI content accuracy with zero policy violations
    • ▹Onboarded team members 50% faster with structured documentation

    Research Associate & Master's Student

    Hasso Plattner Institute

    Potsdam, Germany • October 2020 – July 2024

    Conducted psychophysiological research and developed biosignal platforms.

    • ▹Designed StreamSense with <50ms synchronization accuracy
    • ▹Led human study proving stress reduction biomarkers
    • ▹Published thesis on psychophysiological measurement
    • ▹Achieved 107% alpha power recovery through yoga intervention

    Test Automation Engineer

    Intel Corporation

    Bangalore, India • June 2018 – September 2019

    Developed automated test frameworks for semiconductor validation and biomedical sensor integration.

    • ▹Built automation reducing validation cycles by 40%
    • ▹Optimized firmware response times by 25%
    • ▹Designed custom test fixtures for signal integrity
    • ▹Automated power measurements for testbeds using NI LabVIEW
    • ▹Developed custom DAQ integrations for semiconductor test fixtures
    • ▹Applied biomedical sensor expertise from bachelor's project (EOG sensor-driven mouse cursor for assistive technology)

    Hardware Design Engineer

    Wipro Limited

    Bangalore, India • July 2017 – May 2018

    Designed electronic/sensory suites for consumer IoT products from ground-up, including Bluetooth speakers, smart food processors, smart sous vide cookers, and variable DC power supplies.

    • ▹Delivered 6-layer PCB designs for production IoT devices
    • ▹Designed complete electronic systems for Bluetooth speakers, smart food processors, smart sous vide cookers, and variable DC power supply from concept to production
    • ▹Achieved zero-defect hardware in manufacturing
    • ▹Reduced BOM cost by 15% through circuit optimization
    • ▹Conducted EMI-EMC compliance testing and certification for production hardware
    • ▹Performed technical reverse engineering through competitive product teardown and analysis
    • ▹Executed PCB thermal analysis and optimization for consumer appliances
    • ▹Established standard testing protocols for production hardware validation

    Education

    Master of Science

    Digital Health

    Hasso Plattner Institute • Potsdam, Germany (University of Potsdam) • 2019 – 2024

    Thesis: StreamSense – Synchronized Multi-Sensor Data Acquisition for Psychophysiological Research

    • ▹🏆 Best Paper Award – eTELEMED 2024
    • ▹Published thesis in peer-reviewed conference
    • ▹Distinction in Master's Thesis Defense
    • ▹Psychophysiological Research Methods
    • ▹Biosignal Processing & Analysis
    • ▹Machine Learning for Health Data
    • ▹Learning Analytics & Educational Technology
    • ▹Human-Computer Interaction
    • ▹Design Thinking & Innovation

    Bachelor of Technology

    Electronics & Instrumentation Engineering

    National Institute of Science & Technology • Berhampur, India • 2012 – 2016

    • ▹Embedded Systems Design
    • ▹Digital Signal Processing
    • ▹Analog & Digital Communication
    • ▹Microprocessors & Microcontrollers
    • ▹Control Systems
    • ▹Instrumentation & Measurement

    Let's Connect

    Open to opportunities in AI engineering, digital health research, and human-centered technology.

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