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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"

    SIDDHANT GADAMSETTI

    AI Engineer • Digital Health Researcher

    At a Glance

    AI Engineer at Hasso Plattner Institute (openHPI)
    Best Paper Award, eTELEMED 2024
    7+ years spanning hardware → biosignals → AI
    Python, TypeScript, Three.js, LLMs, Knowledge Graphs

    Multidisciplinary engineer bridging hardware design, psychophysiological research, and AI automation. Currently building developer tooling at openHPI using knowledge graphs to improve team productivity and DORA metrics.

    Background: Designed production PCBs at Wipro, built biosignal platforms for award-winning research at HPI, now architecting AI systems that amplify human capability.

    Research: Led StreamSense multi-sensor platform development, demonstrating measurable stress reduction through yoga intervention (Best Paper, eTELEMED 2024).

    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 • 2024 – Present

    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

    Internal Developer Platform for openHPI

    AI EngineeringSystems ThinkingDesign Thinking

    Knowledge Graph-Powered Developer Tooling

    Hasso Plattner Institute • 2024 – Present

    Built an Internal Developer Platform (IDP) using knowledge graphs to accelerate developer onboarding and improve DORA metrics at openHPI. Mapped 900+ Ruby on Rails components using novel multi-run AI consensus methodology with 0.8+ confidence thresholds. Developers can now query codebase semantics, trace dependencies, and understand architectural patterns through interactive D3.js visualizations.

    Impact

    • ▹900+ components mapped with 68% source code coverage
    • ▹33 functional clusters across 7 categories identified
    • ▹138 component relationships documented
    • ▹New developers productive in 1 week vs 2-3 weeks (50% faster onboarding)
    • ▹Novel multi-run AI consensus methodology (0.8+ confidence)
    • ▹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 demonstrating measurable stress reduction through yoga intervention (n=10, 50 sessions). 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
    • ▹Alpha power increased 107% above stressed baseline 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

    Building developer tooling and exploring AI automation for Europe's largest MOOC platform.

    • ▹Built Internal Developer Platform mapping 900+ codebase components with 68% source code coverage
    • ▹Achieved 50% faster developer onboarding (1 week vs 2-3 weeks) through knowledge graph tooling
    • ▹Developed novel multi-run AI consensus methodology with 0.8+ confidence threshold
    • ▹Created interactive D3.js visualizations for codebase navigation and dependency tracing
    • ▹Prototyped RAG/CAG pipelines and explored AI content automation approaches
    • ▹Documented 138 component relationships across 33 functional clusters

    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.

    Get in Touch
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