
Python specialist with expertise in Deep Learning and ML-OPs platform design and deployment.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
snap2insight
Backend Engineer
June 16, 2026 – Present
optimized-vit-classifier
April 10, 2024 – April 10, 2024
A more Optimized Vision Transformer (ViT) - Image Classifier
View Projectyolov3_pytorch
March 7, 2019 – March 12, 2019
Realtime object detection using yolov3 implemented in PyTorch
View Projecthelper_scripts
December 26, 2018 – February 17, 2019
Helper scripts that are occasionally used for assistance in Image Processing or Computer Vision
View Projectcustom_image_classifier_pytorch
December 4, 2018 – January 21, 2020
PyTorch Based Image Classifier for image prediction and segregation https://medium.com/hardware-interfacing/custom-image-classifier-using-transfer-learning-in-pytorch-framework-c2f7f5155239
View Projectbackground_sub
August 19, 2018 – August 19, 2018
Code for background substraction by Gunjan
View ProjectFrankestein---Sumo
January 26, 2018 – January 26, 2018
Frankestein is a chhotu bot based on the Robotis Battledroid model
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in Computer Vision, Machine Learning, and Robotics, primarily using Python. While this demonstrates a strong interest in specific technical areas, the diversity of projects for a general 'Backend Engineer' role is limited. The current role as a Backend Engineer at snap2insight suggests some alignment, but the project history does not strongly reflect typical backend development skills (e.g., databases, distributed systems, API design beyond ML model serving). This narrow focus might indicate a less broad cultural fit for a general backend role, though it could be a strong fit for an ML-focused backend role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.