Edge Infrastructure and Performance @ LinkedIn • Web • Cloud Computing • AI-Automation
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Software Engineer
June 15, 2026 – Present
Smart-Afforestation
December 7, 2019 – May 1, 2023
Genetic Algorithm based AI agent for suggesting a smart mix of trees to be planted based on factors such as Air Quality Index, Area, Cost, Population, etc.
View ProjectAccident-Prediction
November 30, 2019 – December 29, 2019
Accident prediction using Naive Bayes
View ProjectAnimoji-Animate
March 19, 2019 – March 22, 2019
Facial-Landmarks Detection based animating application similar to Apple-AnimojiTM
View ProjectImage-Colorization
January 4, 2019 – April 29, 2020
Automatic Image Colorization using a Convolutional Network (U-Net)
View ProjectPyCaption
December 19, 2018 – February 1, 2020
A telegram bot that receives an image from the user and returns a caption generated for it through chat over telegram using Telegram API.
View ProjectGenerating-Image-Captions
December 10, 2018 – December 8, 2022
using a combination of CNN and RNN for generating captions for images
View ProjectText-Sentiment-Classification
October 9, 2018 – February 4, 2019
A web application with Python backend which predicts the sentiment/mood (positive or negative) associated with input text.
View ProjectOnlineShop
September 21, 2018 – June 13, 2024
An E-Commerce Website using Flask(Python) Backend
View ProjectDigit-Recognition-MLP
July 13, 2018 – November 13, 2018
A python program which uses a model trained on MNIST dataset for digit recognition.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on personal, academic-style AI/ML projects, with limited exposure to collaborative, large-scale software engineering practices or diverse team environments. The single listed professional experience at LinkedIn is current and lacks details, making it difficult to assess alignment with typical software engineering team dynamics and cultural values. The target role is 'Software Engineer', but the projects lean more towards data science/ML research, which might indicate a potential mismatch if the role is not specifically ML-focused.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.