
Student
AI is analyzing your overall score…
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Assessing your cultural and operational fit
aristo-ai-enabled-plugins
June 9, 2026 – Present
The tools and plugins which will be built for reducing cycle time using AI features will be part of this repository. The work is started by Interns Arjun and Aaryan on this.
View Projectoncology_extraction
April 21, 2026 – Present
AI powered REST API for automated pathology report parsing, extracting structured oncology data, and performing deterministic unit conversions
View Projectvernacular_translations
April 19, 2026 – Present
vernacular_translations — GitHub repository
View ProjectAI_PR_Review
April 2, 2026 – Present
Automated AI-powered PR review assistant using OpenCode, with Slack notifications
View Projectcuratech
October 1, 2025 – October 15, 2025
This project aims to enhance clinical decision-making and operational efficiency in hospital settings by leveraging predictive analytics and intelligent planning tools. The core objectives are to reduce patient Length of Stay (LOS), minimize 30-day readmissions, and optimize bed occupancy through data-driven, fair, and interpretable recommendations
View ProjectCME_Analysis
July 5, 2025 – July 10, 2025
Analyzing ISRO Aditya-L1's SWIS payload to detect and predict ICME (Interplanetary Coronal Mass Ejections). Successfully processing over 2 million records spanning 420 days of data and identifying several peaks in solar wind parameters that occurred around the time of CME events from various catalogues such as SOHO, CACTUS and HELCATS.
View ProjectPrediction-Website
January 31, 2024 – September 6, 2025
A real-time prediction game website achieving 4000+ visits in the first week
View Projectchatgpt-template-python
November 7, 2023 – November 7, 2023
python flask template utilizing openAI's GPT-3.5 API
View ProjectWindows-Assistant
March 26, 2023 – Present
Early attempt [March 2023] for integrating a gui assistant in windows based off OpenAI davinci and Google Gemini 1.5 Flash
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong inclination towards personal learning and exploration in AI/ML and data science. The diversity of projects, from scientific data analysis ('CME_Analysis') to AI-powered tools ('oncology_extraction', 'AI_PR_Review'), suggests a curious and experimental mindset. This aligns well with a culture that values innovation and continuous learning. However, without professional experience or team-based projects, it's difficult to assess collaboration style or adaptability within an organizational structure.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive approach to learning and applying new technologies, which could suggest self-motivation and problem-solving abilities. However, there is no direct evidence of teamwork, communication, or leadership in a professional setting.