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Roshan

AI/ML Lead Developer and Practitioner
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Location Porvorim, north Goa
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Total Views70
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Member since30+ Days ago
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Contact Details
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Candidate Information
  • User Experience
    Experience 3 Year
  • Cost
    Hourly Rate$5
  • availability
    AvailabilityImmediate
  • work from
    Work FromOffsite
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    CategoryInformation Technology & Services
  • back in time
    Last Active OnApril 17, 2024
Key Skills
gcp bucket gcp cloud run container registry pubsub docker containers tensorflow serving mongodb pandas luigi bonobo vertex ai ocr systems vision extraction nlp nlp intent classification
Summary

PROJECTS Medical OCR system ● Build a Smart OCR System to read a variety of medical forms ( printed and handwritten text ) and mediation prescription ● Developing Drug Drug interaction Model based on Drug catalog open sourced by FDA ● Early Disease Detection in herds by image classification via GoPro images based inside cattle ranches, directly correlated to cattle medication treatments AI Assistant for platform tour and actions ● Designing a chatbot interface to guide users through complicated web services platforms by navigation and interactive command prompts ● Building a chatbot interface based on NLU and NLG systems using a Bi-RNN model running inside a Sanic loop containerized serverlessly. ● Developing mongoDB knowledge base connections to the chatbot server to inherit dynamic Building Complex Imaging systems on TFS ● Building stateless python servers divided between microservices ● Constructure TensorFlowServing for stateless cloud build solutions, allowing complex tensor compilers Reddit Sentiment Analysis Examination conducted by Microsoft for validation of skills and industry presets required ● End-to-End Machine Learning with TensorFlow on GCP (08/2020) coursera.org/verify/7B M64VLTXCGH ● Reliable Google Cloud Infrastructure: Design and Process (07/2020) coursera.org/verify/JXT JTFR4WC2N ● ISRO - Satellite Photogrammetry and its Application (08/2020) 3a1d419578836522c28f a6f3a77b6cf1 ● The project uses Reddit's classifications (subreddits) and quantitative data ● compared, to provide a better collective understanding of large masses ● Using NLTK to target specific demographic and provide real time Sentiment from ● reddit users ● E-Comm Sentiment Analysis and Time Series ● Scrapping real time data from 50 E-Comm sites of products on a daily basis ● (Automation) ● Scrapping reviews and creating category wise sentiment break down (Sentiment ● Analysis) ● Searching for Time-series patterns and anomalies Facial Detection Attendance ● Facial Recognition for attendance calculation in Real Time via Online classes ● (Zoom/Google classroom) ● Processing student/employee faces and classification into selected emotions for ● proper post analysis of group mental and emotional status. ● Using Google Cloud to seamlessly integrate the various processes. ● Provide a data Visualization of the group in an interactive DashBoard via Tableau.

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