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A self taught AI Research Engineer, AI Educator, Content Creator, and Freelancer.
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Assessing your cultural and operational fit
Sr. AI Research Engineer - AI Practice & Innovation Labs @ Genpact
AI Research Engineer
June 13, 2026 – Present
Finetuning-Qwen2-7B-VQA-on-Radiology-Scans
January 9, 2025 – January 9, 2025
This repository is doing the finetuning of the Qwen2 7B VLM for performing VQA (Visual Question Answering) on various kinds of patient radiologies or medical scans.
View ProjectQnA-Langchain-VectorDB
September 10, 2023 – November 29, 2023
An implementation of Retrieval Augmented Generation (RAG) to enhance Large Language Models for Document Q&A and Information Retrieval.
View ProjectStatistical-Analysis-of-My-Medium-Articles
January 26, 2022 – January 27, 2022
This repository contains an exploratory data analysis of my writer data at Medium. I use it to carry out data analysis once in every 4 months to see audience and fan growth, and topics they love! You can check out the articles here👇
View ProjectAdvance-REST-APIs-with-Flask
September 10, 2021 – July 13, 2022
This repo is focused on developing RESTful APIs with Flask, SQLAlchemy, (de)/serializing with Marshmallow, advance email confirmations, image uploads, database migrations, third party login with OAuth, Incremental feature delivery and payments with Stripe. Read the API Documentation and play with the API in Postman here 👇
View ProjectDataCamp-Case-Studies
June 5, 2021 – August 30, 2021
This repository contains the codes and datasets of various data science projects completed by me. These project tasks are a part of DataCamp's "Data Scientist with Python" career track.
View ProjectDetecting-Contradictions-and-Entailment-in-Multilingual-Text
May 30, 2021 – September 30, 2021
A case study of NLI ( Natural Language Inferencing) with Transfer Learning. Kaggle Competition Rank - 18th (Global)
View ProjectDSA-and-ProblemSolving
April 26, 2021 – December 3, 2022
Trying to cover the most asked coding questions at PBCs along with DSA implementations. (Striver + NeetCode SDE Sheet ONGOING)
View ProjectML-DL-NLP-resource-notebooks
April 26, 2021 – October 15, 2022
This repository contains all resources and notebook implementations of Machine Learning, Deep Learning and Natural Language Processing concepts.
View ProjectText-Summarization-using-BERT-GPT2-XLNet
April 13, 2021 – April 13, 2021
This notebook leverages Transfer Learning Algorithms and standard NLP procedures to summarize a given paragraph meaningfully.
View ProjectCovid19-Detection-using-X-rays-Webapp
August 27, 2020 – July 29, 2022
In this repo, you will see how to automatically detect COVID-19 in a hand-created X-ray image dataset using Keras, TensorFlow, and Deep Learning.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest and alignment with an AI Research Engineer role, particularly in areas like NLP, computer vision, and deep learning. The diversity of projects, from medical imaging to text summarization and RAG implementations, shows a broad curiosity and willingness to tackle different problem domains within AI. The ongoing role as 'Sr. AI Research Engineer' at Genpact, although with a future start date, indicates a clear career trajectory and commitment to the field. The focus on personal projects and self-improvement (DSA, DataCamp) suggests a proactive and learning-oriented mindset, which is generally a good cultural fit for research-heavy roles. However, the lack of team-based projects or explicit collaboration mentions makes it difficult to fully assess collaborative cultural fit.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven individual, consistently engaging in personal projects to explore and apply advanced AI/ML concepts. The ongoing DSA practice suggests a dedication to continuous learning and problem-solving. However, without specific psychometric or English test results, it is difficult to assess communication clarity, work attitude, stress handling, or team collaboration directly. The project descriptions are clear and concise, suggesting good written communication.