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4th Year at IIITD || B.Tech Computer Science & Artificial Intelligence Python • C • C++ • Java
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Idiom_Simplification
November 26, 2025 – Present
Idiom_Simplification — GitHub repository
View ProjectPerspective-aware-Healthcare-Answer-Summarization
March 24, 2025 – May 14, 2025
We benchmark zero-shot inference on SOTA LLMs like Gemini 2.0 Flash, Gemini 3 27B and GPT 4o-mini to establish a baseline. We propose our own solution using a fine-tuned Gemma2 model using Low-Rank Adaptation (LoRA). Additionally, we incorporate a span prediction mechanism to accurately identify and supply relevant input segments to the models
View ProjectCSE222-ADA-Algorithm_Design_Analysis
March 22, 2025 – March 22, 2025
The following repository provides solutions to the programming assignments in the course Algorithm Design and Analysis (CSE222) for the academic year 2024.
View ProjectCSE558-DSc-Data_Science
March 22, 2025 – March 22, 2025
The following repository provides solutions to the programming assignments in the course Data Science (CSE558) for the academic year 2024.
View ProjectCSE344-CV-Computer_Vision
February 20, 2025 – May 11, 2025
CSE344-CV-Computer_Vision — GitHub repository
View ProjectCSE556-NLP-Natural_Language_Processing
January 27, 2025 – May 13, 2025
The following repository provides solutions to the programming assignments in the course Natural Language Processing (CSE556) for the academic year 2025.
View ProjectMathInsight
January 11, 2025 – January 11, 2025
Machine Learning Project for Mathematical Character Recognition Model on CROHME dataset
View ProjectCSE232-CN-Computer_Networks
December 16, 2024 – December 16, 2024
The following repository provides solutions to the programming assignments in the course Computer Networks (CSE232) for the academic year 2024-25.
View ProjectCSE643-AI-Artificial_Intelligence
December 16, 2024 – December 16, 2024
The following repository provides solutions to the programming assignments in the course Machine Learning (CSE343) for the academic year 2024-25.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on academic coursework and personal exploration in various computer science sub-fields, which aligns well with the continuous learning and research aspects of a lecturer role. The diversity of projects (NLP, CV, AI, Algorithms) suggests a broad interest in teaching multiple subjects. However, the lack of professional experience or team-based projects limits the assessment of collaborative cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's projects are primarily academic assignments, which do not provide insight into collaboration, communication, or problem-solving in a team setting.