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Software Engineer | MakeMyTrip
Software Engineer
June 15, 2026 – Present
hateXplain-metrics-calculation
March 14, 2023 – November 22, 2024
hateXplain-metrics-calculation — GitHub repository
View ProjectLayerwise-Relevance-Backpropagation
June 17, 2022 – July 16, 2022
A research project to implement Relevance Back Propagation to explain the predictions of a hate speech detection model built on fine tuning XLM-roberta from Hugging-Face.
View ProjectNeural-Collaborative-Filtering
June 17, 2022 – June 30, 2022
Implementation of a WWW'17 conference's research paper "Neural Collaborative Filtering", which proposed use of deep-learning to fix the incompetence of traditional Matrix Factorization for a recommender-system!
View Projectdeep-face-detection
May 30, 2022 – August 22, 2022
deep-face-detection — GitHub repository
View ProjectMLOPs
May 17, 2022 – August 1, 2022
This repository contains all of my codes and materials that I'm creating while following MLOps Zoomcamp course by Alexey Grigorev from DataTalks.Club .
View Projectis-duplicate-question-pair
May 14, 2022 – May 25, 2022
This is a NLP project to solve kaggle competition on 'Qoura's duplicate question' by qoura
View Projectmovie-recommendation-system
December 1, 2021 – April 4, 2022
movie-recommendation-system — GitHub repository
View ProjectSIGN_Language_Detection
November 26, 2021 – December 20, 2021
ML Project on American sign language detection.
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on personal initiatives in Machine Learning and NLP, which aligns with a Data Scientist role. However, the listed experience as 'Software Engineer | MakeMyTrip' starting in 2026 suggests a future role or a typo, making current professional experience unclear. The diversity of projects indicates a proactive learning attitude. The lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess cultural fit beyond individual technical contributions.
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 in a team setting.