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MLE @ExxonMobil | Indian Statistical Institute | IIITian | Mathematics Enthusiast | Visiting Researcher IIT Patna.
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ExxonMobil
Software Engineer
June 21, 2026 – Present
query_product_rank
September 1, 2023 – September 1, 2023
query_product_rank — GitHub repository
View ProjectastroX
July 5, 2020 – July 11, 2020
An AI chatbot designed for astronomy and space enthusiast using Rasa
View ProjectFew-Shot
May 18, 2020 – June 7, 2023
A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.
View ProjectFIRE-Twitter-Classification
November 19, 2019 – November 20, 2019
Forum for Information Retrieval (FIRE): Implementation of the statistical machine learning model for analysis of tweets for discriminant task
View Projectstock_movement_prediction
June 10, 2019 – June 7, 2023
Predictive Model for Future Stock Price Movement using TensorFlow and Keras
View ProjectImproved-Optimization-Techniques-for-Super-Resoultion-in-Images
June 9, 2019 – September 8, 2019
Optimzation Methods for Super Resoultion in Images
View Projectsummarization
June 4, 2019 – August 2, 2020
A stacked LSTM based Network for Text Summarization Using Keras
View ProjectNews-headline-Classification-based-on-Genres
December 9, 2018 – November 9, 2019
Deep Learning technique for news headlines classification
View Projectsimple-ml-algorithms-implementation
August 5, 2017 – June 2, 2019
Implementation of Different ML Algorithms including: 1)Linear Regression 2)Support Vector Machine 3)Neural Networks 4) Decision Tree 5)k-Mean Algorithm 6) Naive Bayes
View ProjectMusic-Classification-by-Genres
May 20, 2017 – April 21, 2020
Music Classification by Genres
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in Machine Learning and AI, primarily using Python. While this shows depth in a specific area, the lack of diversity in technologies (e.g., web development, databases, cloud platforms) and project types (all personal) suggests a narrow focus. This might limit adaptability to broader software engineering roles requiring diverse skill sets. The single professional experience is very recent, offering limited insight into collaborative work or broader engineering practices.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insights.