Brunda A N
Development
Karnataka , India
Skills
Python
About
BRUNDA A N's skills align with Programmers (Information and Communication Technology). BRUNDA also has skills associated with IT R&D Professionals (Information and Communication Technology). BRUNDA A N appears to be an entry-level candidate, with 15 months of experience.
Work Experience
Software Engineer
Stellantis
October 2022 - January 2024
- Face id (April2023-jun2023): Face recognition is a method of identifying or verifying the identity of an individual using their face. Skills from face id: state of the art literature for facial recognition (skills about the best adaptive margin like arcface and adaface) to be used in the face id Responsibilities: Hands on experience in web scraper tools for scrapping images in web pages and websites Proficient in using the machine learning and python libraries like NumPy, Pandas, beautiful soup, selenium etc. And with deep learning frameworks like K.eras, TensorFlow, Pytorch, scikit-learn etc Diagnosed and resolved software issues through effective debugging and bug fixing. Demonstrated leadership by leading a training for the interns about the project advantages and their draw bags. Speaker id (jul2023-oct2023): the process of identifying the speaker from a given utterance by comparing the voice biometrics of the utterance with those utterance models stored beforehand. Skills from speaker id: worked with remote GPU on hesparides server for training n number of models, Training titanet model with librispeech and voxceleb1 dataset, Testing the model by using some tkinter application with different colleague voices and finding the accuracy. Object detection in car (Present): Skills from object detection: Worked with the web scrapping tools like octoparse, parsehub etc. Also hands on experience worked with the web scraping libraries like beautiful soup, selenium, scrapy etc. which can scrap google images, web pages like amazon, ebay etc. Responsibilities: Development of model with the agile practices to deliver on user stories. Worked with data scientists and data engineers to support data acquisition activities, data solution ideation, and implementation. Experience with machine learning algorithms and architectures, including CNN, and RNN/LSTM. Practical and innovative implementations of ML/AI automation and applications, for scale and efficiency.
Education
