Alishba.

About Me.

I'm a 16-year-old Blockchain and Machine Learning enthusiast and developer. I spend my time learning about technology, coding and building things to solve important problems in healthcare, finance and energy.

I've worked as an ML developer with top companies like TD Bank and Pngme. While, having the opportunity to consult organizations like Walmart and Google.


Currently.

-Leading a Machine Learning practice at SF startup Pngme which is a lending platform that captures and analyzes millions of data points from smartphones so that lenders can underwrite loans in emerging markets.

-Helping to build out an app for coronavirus cases and prevention in Africa. Basically there is not nearly enough information in Africa - including reporting. The goal is to help citizens have access to symptoms, preventions and GIS maps with real-time data. This will be live soon.

-With the support of Kindred.ai, I'm working on developing a robotic arm to improve the grasp and grip of the hand using CNNs. The goal is to deploy this on a robotic prosthetic arm.

-Diving deep into the energy storage market to better understand current methods and coming up with my own solution to tackle energy storage with renewables.

Machine Learning & Robotics Projects.

  • Improved Grasp of Mini-Robot Arm using Computer Vision and RL
  • Using TensorFlow object detection API and Deep Deterministic Policy Gradient (DDPG) for increased precision control grasp and grip. Currently working on: training against grasp positions and sending to a Nvidia Jetson GPU with arduino microcontroller to process images for Robotic Prosthetic Arm.

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  • Reinforcement Learning Pick and Place Robotic Arm Simulation
  • Using OpenAi's Robotics environment Fetch where I trained a robotic arm to lift, slide, move objects to defined targets using Deep Deterministic Policy Gradients (DDPG) and Hindsight Experience Replay (HER).

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  • Everva: patient portal system
  • Integratable EHR Patient Portal System for hospitals with Risk Scores, Preventative Measures using Naïve Bayes Classifier, and Data Visualizations using D3 and React.

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  • Pneumonia Detection from X-rays using CNNs
  • CNN trained on pre-trained Oxford VGG19 Network to detect whether a patient has pneumonia, both bacterial and viral, based on an X-ray image of their chest.

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  • Detecting epigenetic factors for Breast Cancer
  • Detecting biomarkers like methylation/acetylation among genes and histones heatmaps for breast cancer with a convolutional neural network.

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    Blockchain Projects.

  • Honestblocks: tracking medication in supply chain.
  • Using Hyperledger Fabric to track counterfeit medicine in a supply chain. For each patient and medicine, the manufacturer, ID number of a particular drug packet, timestamp, the current holder and location are noted in the ledger and cross-referenced with a QR code to authenticate.

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  • Real Estate DApp
  • Homeownership DApp to exchange and own properties using smart contracts on Ethereum.

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  • Real-Time Polling DApp
  • An Ethereum smart contract for voting between two people. Using Node.js & Mongoose to develop a client-side application that allows accounts to cast votes.

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  • Digital Identity on a Decentralized Network
  • Working with TD Bank, I helped develop a POC of a decentralized method to verify identity as a way to easily get access to the services and products through a plug-in with virtually many third parties.

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