
MS(Research)@IIITH, Interests:Deep Learning, Computer Vision, Medical Image Analysis
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Qualcomm India R&D
Data Scientist
June 16, 2026 – Present
DAA-NeRF-Depth-Aware-Attention-NeRF
April 12, 2025 – April 12, 2025
A starter code base where I am exploring NERF, by exploiting learnable depths using group convs. Idea is to see if regular CNN based feature extraction can be used to approx end to end nerf.
View ProjectVanilla-Image-captioning
March 30, 2025 – March 30, 2025
A starter notebook showing a vanilla image captioning, with visual encoder, and a transformer decoder to predict the captions.
View Projectashishrmenon.github.io
March 24, 2025 – November 22, 2025
ashishrmenon.github.io — GitHub repository
View ProjectClip_based_fewshot
March 6, 2025 – March 6, 2025
A starter codebase for CLIP based few shot classification
View ProjectInteractive-Learning-for-Assisting-Whole-Slide-Image-Annotation
December 1, 2021 – October 28, 2023
This repo contains the implementation of an active learning strategy explored in the domain of Whole Slide Images. The proposed strategy achieves the state of the art results with limited amount of labelled data (5%). The proposed technique does this in an interactive setting without needing any labelled data upfront. We further show that the proposed technique is also useful in annotating tumorous regions of large sized WSIs with minimum expert involvement.
View ProjectGANs-Objective-implementation-application
September 2, 2020 – September 2, 2020
This repo aims at understanding GAN, provides a small derivation of Generator and Discriminator and provides some of the outputs of its use cases seen in pathology images and Context encoders (inpainting)
View ProjectExploring-histological-similarities-across-cancers-from-a-deep-learning-perspective
June 3, 2020 – December 4, 2022
Exploring-histological-similarities-across-cancers-from-a-deep-learning-perspective — GitHub repository
View ProjectCV-Project-2019
February 11, 2019 – April 4, 2019
Oriented Edge Forests for Boundary Detection
View ProjectContrast-Based-Filtering-for-Salient-Region-Detection
September 29, 2018 – November 29, 2018
This is an attempt to implement the research paper, Saliency Filters: Contrast Based Filtering for Salient Region Detection
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily concentrated on deep learning and computer vision, primarily within academic or research contexts. While this demonstrates deep technical expertise, the lack of diverse project types (e.g., data engineering, MLOps, traditional statistical modeling, business intelligence) suggests a potentially narrow focus for a general 'Data Scientist' role, which often requires broader skill sets. The candidate's current role as 'Data Scientist' at Qualcomm India R&D aligns with the target role, but the duration is not specified, and no specific skills are listed for this experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong technical focus and an ability to work on complex, research-oriented problems independently.