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Research Scholar @ IISc, Bengaluru
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IISc
Software Engineer
June 15, 2026 – Present
DataContamination_SLMs
March 18, 2026 – Present
Framework to evaluate the robustness and sensitivity of Small Language Models (SLMs) to fine-tuning data contamination across various transformation patterns.
View Projectda-225o-deep-learning
May 30, 2025 – November 10, 2025
The GitHub repository for the course contains all tutorial notebooks, reference code, and implementation material.
View ProjectSLMs-Physics-Contextual-ReasoningCapabilities
May 18, 2025 – May 18, 2025
SLMs-Physics-Contextual-ReasoningCapabilities — GitHub repository
View ProjectAEQG-MCQ-Distractors-Physics
January 25, 2025 – May 9, 2025
A system for generating physics multiple choice questions using LLM, RAG, and Concept Map based approaches.
View ProjectEvalYaks
August 21, 2024 – August 29, 2024
EvalYaks refers to a family of six distinct models created to automatically evaluate and score CEFR B2 speaking assessments.
View ProjectLearn-Unlearn-Relearn-Noise-SLMs
August 21, 2024 – January 30, 2025
Website of the paper "Can Small Language Models Learn, Unlearn and Retain Noise Patterns?"
View ProjectVideo-Dubbing-with-Lip-Synchronization
March 14, 2024 – April 27, 2024
Video Dubbing with ML-driven Emotional Expression and Lip Synchronization
View ProjectAEQG_Blooms_Evaluation_LLMs
February 1, 2024 – November 14, 2024
This is an analysis of the ability of large language models to generate and evaluate high quality questions corresponding to different coginitive levels based on Bloom's taxonomy.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards academic and research-oriented tasks, primarily in NLP and LLMs. While this aligns well with a Data Scientist role focused on advanced AI, the lack of diverse project types (e.g., data engineering, MLOps, business intelligence) might indicate a narrower scope of interest or experience. The single listed professional experience as a 'Software Engineer' at IISc, with a future start date, provides limited insight into past professional cultural fit. The projects are all personal, which shows initiative but doesn't provide insight into team collaboration in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a strong inclination towards research and problem-solving in the AI/ML domain. The nature of personal projects indicates self-motivation and an ability to work independently on complex technical challenges. However, without psychometric test results or interview data, it's difficult to assess collaboration, stress handling, or work attitude.