Pindi Krishna Chandra Prasad
SDESDE | IIIT Hyderabad | NIT Durgapur
Bengaluru
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
SDE | IIIT Hyderabad | NIT Durgapur
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
House_Selling_Price_Prediction
August 1, 2022 – August 14, 2022
Kaggle Competition https://www.kaggle.com/competitions/home-data-for-ml-course/submissions
View ProjectML-and-DL-Notes
June 9, 2022 – March 19, 2023
My Machine Learning, Deep Learning and Computer Vision notes written from various blogs, books and YouTube lectures. In this notes, I will dump all the concepts I learn in this space over time.
View ProjectBrain-Image-Segmentation
June 1, 2022 – August 22, 2022
Brain-Image-Segmentation — GitHub repository
View ProjectClassification-and-Interpretation-of-ASD
April 14, 2022 – July 14, 2023
Code of my paper titled "Deep Learning approach for classification and interpretation of Autism Spectrum Disorder". https://ieeexplore.ieee.org/document/9892350
View ProjectLung-Segmentation
August 3, 2020 – August 7, 2020
Reimplementation of the proposed Architecture of paper "CE-Net: Context Encoder Network for 2D Medical Image Segmentation" and evaluating on Luna grand challenge dataset.
View ProjectAutomated-Detection-of-Neuropsychiatric-Disorders
July 13, 2020 – February 4, 2022
Deep Learning for Automated Detection of Neuropsychiatric Disorders
View ProjectMultiple-Sclerosis-Lesion-Segmentation
February 17, 2020 – November 3, 2021
Implementation of my paper titled "A Light Weighted Deep Learning Framework for Multiple Sclerosis Lesion Segmentation" published in 2019 Fifth International Conference on Image Information Processing (ICIIP). https://ieeexplore.ieee.org/document/8985674
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on academic research and personal exploration in AI/ML. While demonstrating initiative, there is a lack of diversity in project types (e.g., no full-stack development, backend services, or large-scale system design projects). This narrow focus might indicate a specific interest area but could limit adaptability to broader SDE roles requiring diverse technical skills and collaborative project experience. The absence of team projects or open-source contributions makes it difficult to assess collaboration and broader cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.