Sachin Mishra

Experience

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  KoiReader - Unlock Smart Operations

  Oct 2020 - Dec 2020

  Python Developer Intern

  Worked on optical code detection from invoice docs using OpenCV and bbox visualizations, testing APIs and analyzing their JSON responses, and optimizing python code using Numba and Cython resulting in saving cost, time, and human labor.

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  SafeHouse Technologies | GPCSSI 2021

  Jun 2021 - Jul 2021

  Cyber Security Analyst Intern

  Researched real-life cases of cybercrime, data breach, F2P, ESIM and AEPS scams, QRL Jacking, IDOR vulnerability, OSINT platforms, & theorized development of honeypot servers with payload for tracing IP of exploiters behind VPN/proxy servers.

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  Incentius

  Jan 2022 - Apr 2022

  Solutions Developer Intern

  Development of front-end UI using Vue.js and Quasar, user friendly interfaces for acoustic product websites and contributed to an Admin Console project, integrating Flask and MySQL database for efficient inventory data management.

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  Edvak Inc

  Apr 2022 - May 2022

  Data Science Intern

  Integrated on EHR product Darwin chatbot’s doctors recommendation algorithm using NLP models based on Hybrid(Collaborative + Content Based) recommendation system which led to increased user engagement by 18%.Wrote Function-as-a-Service script to provide solution of mathematical problems using Sympy & Handcalcs libraries.

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  Zoho

  Jul 2022 - now

  Software Developer

  Designed an e-KYC feature to capture user’s mobile, email, address, credit card details, face webcam selfie and a government issued ID document using AWS Rekognition reduced fraudulent accounts by 67% ensuring account security and preventing identity theft. Achieved 83% accuracy in face comparison from webcam captured selfie and face detected from document.Integrated HIPAA-compliant ChARM EHR with ChatGPT after PHI masking on the patient’s data, assisting doctors in writing referral request mail and analyzing lab order reports for abnormalities detection. Enhancing the usual workflow by 53%.Devised a patient demographic extraction feature using AWS Textract and ZLabs NER engine for effective data extraction from driving license barcodes. Reduced the manual work involved in filling the patients personal details in the form.Implemented DBSCAN algorithm of Clustering ML estimator, deep learning model Valx, Deep & Hidden Markov models for analyzing patient medical history, variations in Rx, Dx and procedure codes based on patient’s gender and anomaly in vitals. Show less