Ritika Mishra

Software Engineer

Delhi, India1 yr 8 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in building scalable, AI-driven web applications.
  • Proven track record in real-time data processing and visualization.
  • Strong ownership of product lifecycle from design to deployment.
Stackforce AI infers this person is a Full-Stack Engineer specializing in Healthcare technology with a focus on AI-driven systems.

Contact

Skills

Core Skills

Full-stack EngineeringApplied Machine LearningReal-time ProcessingFull-stack Development

Other Skills

AI EngineeringAI PromptingAPI DevelopmentArtificial Intelligence (AI)BLE/Serial APIsBackend EngineeringBootstrapBrand AwarenessC (Programming Language)C++Canvas/WebGLCascading Style Sheets (CSS)Cloud ComputingDigital MarketingDocker

About

I’m Ritika Mishra a Software Developer with 2+ years of experience building scalable, web applications and AI-driven systems. I specialize in owning products end-to-end from idea and architecture to development, optimization, and deployment.Currently, I work as a Software Developer at Upside Down Lab, where I lead full application development, designing real-time platforms that integrate modern web stacks, hardware, and applied AI. I thrive in roles that demand strong engineering ownership, performance optimization, and real-world impact.💡 What I Do BestBuild high-performance MERN & Next.js applications with clean architectureDevelop Applied AI systems for time-series data, real-time inference & automationDesign low-latency, scalable full-stack platformsTake complete ownership of product lifecycle — idea → design → implementation → deployment🛠 Tech StackFrontend: React, Next.js, TypeScript, Tailwind CSSBackend: Node.js, Express, MongoDB, REST APIs, JWT AuthApplied AI: TensorFlow.js, ML Pipelines, Time-Series Modeling, Signal Processing, LLM SystemsSystems: Web Workers, IndexedDB, WebGL, Real-time Data Pipelines🚀 Professional ImpactAt Upside Down Lab, I:Owned application development of real-time bio-signal visualization platformsBuilt high-frequency data pipelines handling EEG / ECG / EMG streamsDesigned persistent client-side architectures for long-running monitoring sessionsDeveloped low-latency Applied AI pipelines for motion detection & biomedical signal analysis🏗 Key ProjectsChords – Real-time bio-potential streaming & visualization platformCortEx – EEG-based neurofeedback meditation systemProperty Listing Platform – Secure MERN app with authentication, filters & advanced searchRpeak – Real-time ECG ML analysis with <50ms inference🎯 Target RolesFull-Stack Engineer (MERN / Next.js) | Applied AI Engineer | AI 🧠 MissionTo build intelligent, scalable, and human-centric products by blending Full-Stack Engineering + Applied AI into real-world systems.📩 Open to impactful opportunities:Email: ritikamishra8081@gmail.comGitHub: github.com/Ritika8081

Experience

Upside down labs

Software Engineer

Jul 2024Present · 1 yr 8 mos · Delhi, India · On-site

  • Software Engineer at Upside Down Labs, building full-stack, AI-powered web systems for Human–Computer Interaction (HCI), Brain–Computer Interfaces (BCI), and neuroscience-driven applications.
  • I work across software, applied machine learning, and hardware, quickly learning and integrating new technologies to ship real-time systems.
  • Key Contributions & Projects:
  • Software Development
  • Designed and deployed end-to-end applications using Next.js, React, TypeScript, and Tailwind CSS.
  • Built scalable UIs for real-time data visualization and ML-driven interactions.
  • Rpeak – Open Source Real-Time ECG AI Analysis
  • Developed live ECG acquisition, visualization, and session recording.
  • Trained and deployed a 1D CNN for heartbeat classification (AAMI EC57) using the MIT-BIH Arrhythmia Dataset.
  • Implemented low-latency, in-browser ML inference with TensorFlow.js.
  • Gyroscop – Edge AI Motion Classification
  • Built a rotation-invariant motion classifier for BLE sensor data.
  • Achieved <10 ms inference latency with 95%+ accuracy.
  • CortEx – Open Source Neurofeedback & BCI
  • Developed a high-performance frontend for EEG/ECG-based neurofeedback systems.
  • Implemented Web Workers, Canvas/WebGL plotting, offline support, and data export.
  • Chords – Open-Source Bio-Potential signal Platform
  • Built and maintain Chords, an open-source platform for real-time biopotential signal streaming and visualization.
  • Hardware & Embedded Systems:
  • Hands-on experience with Arduino (Uno, Nano), Raspberry Pi, ESP32, and STM32 for signal acquisition, sensor interfacing, BLE communication, and real-time data streaming into web.
  • Core Strengths:
  • HCI & BCI • Real-Time Processing • Applied ML for Time-Series Data • Full-Stack Engineering • Fast learner with proven ability to adapt and deliver across domains.
  • Tech Stack:
  • Next.js • React • TypeScript • JavaScript • Node.js • Tailwind CSS • TensorFlow.js • WebGL • Backend • Web Workers • BLE/Serial APIs
Next.jsReactTypeScriptTailwind CSSTensorFlow.jsWebGL+5

Fynd (shopsense retail technologies ltd.)

Full Stack Engineer

Sep 2023Dec 2023 · 3 mos · Remote

  • Property Listing Application – MongoDB, Express, React, Redux, Node.js
  • Developed secure, scalable applications, integrating authentication (email/password, Google login) and user profile management with MongoDB.
  • Enhanced user experience with advanced search, sorting, and discount features.
  • Collaborated in cross-functional teams, applying problem-solving skills to real-world industry challenges.
MongoDBExpressReactReduxNode.jsFull-Stack Development

Education

Dr. A.P.J. Abdul Kalam Technical University

Bachelor of Technology - BTech — Computer Science

Jan 2020Jan 2024

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