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espressif
Data Scientist
June 21, 2026 – Present
esp-idf-faster-device-state-restoration-example
July 3, 2025 – July 4, 2025
Demo application to demonstrate the reduction in device's state restoration time
View Projectesp-idf-security-example
March 12, 2024 – March 12, 2024
An example that is used to demonstrate all the security features of ESP-IDF for the following blog:
View ProjectASCI-C-STL-Session
January 23, 2022 – January 23, 2022
ASCI-C-STL-Session — GitHub repository
View Projectidf-extra-components
November 16, 2021 – Present
Additional components for ESP-IDF, maintained by Espressif
View ProjectSahayak
September 23, 2021 – September 23, 2021
The purpose of this Mobile application is to recognize all the alphabets (A-Z) and digits (0-9) of Indian sign language using a Convolutional Neural Network model and convert them into text and speech. It includes a dual-mode of communication in which the word is to be taken as input and the corresponding sign images would be shown.
View Projectxv6-Kernel-Threads
August 16, 2021 – August 16, 2021
Implemented kernel-level threading in MIT's xv6 OS. Also added a userland threading library with one-to-one mapping, based on the new kernel feature. Provided a synchronization mechanism - the mutex lock, for said threads to use
View ProjectText-Summarization
March 27, 2021 – March 27, 2021
Text-Summarization — GitHub repository
View ProjectTorrentClient
January 6, 2021 – January 6, 2021
A command-line Python BitTorrent client supporting concurrent peer connections and multiple simultaneous torrent downloads. Managed the peer network connections using Threads, with a separate thread for each connection.
View ProjectCollabEdit
July 3, 2020 – October 6, 2021
An collaborative full-stack writing tool, built using MongoDB, Express, React, and Node.js. The application enables multiple users to collaborate on the same document at the same time. Used Socket.io for establishing real-time communication and implemented a Quill.js rich-text editor.
View Projectesp-idf
August 17, 2016 – Present
Espressif IoT Development Framework. Official development framework for Espressif SoCs.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal, self-driven projects, indicating initiative and a passion for technology. However, the projects are heavily skewed towards embedded systems, OS development, and general software engineering, with only two projects directly related to Data Science ('Sahayak' and 'Text-Summarization'). While these two projects demonstrate relevant skills (CNN, NLP, Python), the overall breadth of data science specific projects is limited for a senior role. The current role as 'Data Scientist' at Espressif is a positive indicator, but without details on responsibilities or achievements, it's hard to fully assess alignment with a senior Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.