PhD@IITD | CSE'23@NITS | Exploring the fields of research on CS specifically the domain of NLP, specially Language understanding for Mental Health.
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IIT Delhi
Data Scientist
June 13, 2026 – Present
automotive-issue-summarization-agent
January 17, 2025 – January 17, 2025
An LLM based summarization agent that summarizes an automotive issue. Input to the agent comes in the form of a json object. The agent should retrieve the relevant documents in the dataset and summarize the issue using those documents.
View ProjectBrokenEyes
November 27, 2024 – December 2, 2024
In this work, a computational framework was developed using the BrokenEyes system to simulate five common eye disorders: Age-related macular degeneration, cataract, glaucoma, refractive errors, and diabetic retinopathy and analyze their effects on neural-like feature representations in deep learning models.
View ProjectELL409-2401
July 19, 2024 – January 20, 2025
Introductory course on Machine Learning (ML) that is offered to undergraduate students at IIT Delhi.
View ProjectELL881-AIL821-2401
July 5, 2024 – January 9, 2025
An advanced course on LLMs offered at IIT Delhi by Prof. Tanmoy Chakraborty
View ProjectMenstBot
March 19, 2024 – October 1, 2024
A Llama-2 Based chatbot for Menstrual Health Education
View Projectbeamer-googleslides
October 9, 2023 – October 9, 2023
Beamer-Styled PowerPoint Presentation Theme Repository
View Projectcomp-mt
March 6, 2023 – March 26, 2023
An automatic & human evaluation tool for Machine Translated Files
View Projectmoses-smt
February 8, 2023 – February 10, 2023
MosesSMT: User Guide and hands-on video tutorial.
View ProjectNITS-LAN-Hacks
October 22, 2021 – December 15, 2023
In this repo I'll store short useful hacks to make computing easier.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration in AI/ML. The 'Data Scientist' role at IIT Delhi, though current, lacks detailed responsibilities, making it difficult to fully assess alignment with a typical industry data scientist role. Project diversity is good within the AI/ML domain, but the technologies used in some projects (e.g., SCSS, HTML, Ruby for ML courses) seem misaligned or are not core to data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.