Aishik Rakshit

AI Research Engineer

https://www.opentalent.in/aishik-rakshit

AI Research Engineer @ Alphasense | Ex-MSFT | Kaggle Competitions Master

Alphasense

Key Strengths

Demonstrated experience in Machine Learning challenges, including competitive placements (4th, 14th, 84th, 96th place in various Amazon ML, Jigsaw, U.S. Patent, and Feedback Prize challenges).
Practical application of deep learning for computer vision tasks (e.g., Tailgating detection using Mask RCNN, Chinese MNIST using CNN).
Experience with Jupyter Notebook for ML experimentation and development.
Current role as an AI Research Engineer at Alphasense aligns directly with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project history shows a strong focus on competitive machine learning challenges, indicating a drive for problem-solving and performance. The diversity of ML problems tackled (NLP, computer vision, general ML) suggests adaptability. However, the projects are predominantly personal and competitive, with limited insight into collaborative team environments or broader software engineering practices beyond ML scripting. The current role as an AI Research Engineer at Alphasense suggests a professional alignment with research and development in AI.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The provided data primarily focuses on technical projects and a current role.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

DeepSoftDebias

February 1, 2024 – November 2, 2024

DeepSoftDebias — GitHub repository

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Amazon-ML-Challenge-2023-4th-Place

April 27, 2023 – July 19, 2024

4th Place Solution of Amazon ML Challenge 2023

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Jigsaw-Rate-Severity-of-Toxic-Comments-84th-Place

June 22, 2022 – June 22, 2022

Jigsaw-Rate-Severity-of-Toxic-Comments-84th-Place — GitHub repository

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U.S.-Patent-Phrase-to-Phrase-Matching-96th-Place

June 22, 2022 – June 22, 2022

U.S.-Patent-Phrase-to-Phrase-Matching-96th-Place — GitHub repository

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Feedback-Prize---Evaluating-Student-Writing-14th-Place

May 2, 2022 – May 2, 2022

Feedback-Prize---Evaluating-Student-Writing-14th-Place — GitHub repository

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aishik-rakshit

September 18, 2021 – April 5, 2025

aishik-rakshit — GitHub repository

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Amazon-ML-Challenge2021

August 7, 2021 – August 8, 2021

Scripts and Approach for Amazon ML Challenge

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Tailgating-Detection

May 23, 2021 – June 6, 2021

Tailgating detection using Instance Segmentation and bounding box tracking via a fine-tuned Mask RCNN model

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Bosch

March 11, 2021 – October 27, 2021

Bosch — GitHub repository

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Chinese-MNIST-using-CNN

October 19, 2020 – October 19, 2020

3 approches for chinese mnist using cnn

View Project

Key Strengths

Demonstrated experience in Machine Learning challenges, including competitive placements (4th, 14th, 84th, 96th place in various Amazon ML, Jigsaw, U.S. Patent, and Feedback Prize challenges).
Practical application of deep learning for computer vision tasks (e.g., Tailgating detection using Mask RCNN, Chinese MNIST using CNN).
Experience with Jupyter Notebook for ML experimentation and development.
Current role as an AI Research Engineer at Alphasense aligns directly with the target role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The provided data primarily focuses on technical projects and a current role.

Aishik Rakshit

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit