
Researcher working on LLM efficiency: GPU kernel optimization and memory-efficient training.
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Assessing your cultural and operational fit
gpu-kernel-research
May 30, 2026 – Present
GPU-kernel research directions beyond FGO: ranked plan + short-experiment validation on B200/H200 (S14/S4 lead; register-spill profiling elevates S5)
View ProjectKritarth384.github.io
August 26, 2025 – August 26, 2025
Kritarth384.github.io — GitHub repository
View ProjectInstitute-Chatbot-RAG
August 5, 2025 – October 14, 2025
A comprehensive Retrieval-Augmented Generation (RAG) chatbot system for Singapore Institute of Technology (SIT), featuring hybrid search capabilities with FAISS vector similarity and BM25 keyword matching, powered by OpenAI GPT and ElevenLabs voice integration.
View ProjectMultilingual-Mathematical-Reasoning
December 15, 2024 – December 26, 2024
Multilingual-Mathematical-Reasoning — GitHub repository
View ProjectMultiple-Images-boxFilter
July 13, 2024 – July 13, 2024
Multiple-Images-boxFilter — GitHub repository
View ProjectAssembler_and_Simulator
August 9, 2021 – April 24, 2023
A group project for Computer Organization assignment 2021.
View ProjectACM-IIIT-Delhi.github.io
January 25, 2021 – February 14, 2022
ACM-IIIT-Delhi.github.io — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, many of which are related to machine learning, natural language processing, and general software development. This indicates a self-starter who is passionate about technology. However, the lack of team-based projects (beyond one group assignment) and professional experience makes it difficult to fully assess cultural fit, especially regarding collaboration and professional work environments. The diversity of projects, from web development to GPU research, suggests a broad interest, but also a potential lack of deep specialization in core data science areas without further validation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no psychometric test results or interview notes provided.