CSE Student IIIT Kota | AI/ML Enthusiast | Full Stack Dev | Former AI Intern @Infosys Springboard | Python, C family l, Cloud Computing | Open Source Contributo
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SamarthAI
March 16, 2025 – Present
AI-powered job matching platform that intelligently connects candidates with opportunities using advanced semantic matching and provides actionable feedback
View ProjectJoshScamappInnerve9
February 8, 2025 – February 8, 2025
JoshScamappInnerve9 — GitHub repository
View Projectpragatishala-skill-development
January 12, 2025 – November 7, 2025
An AI-powered skill development platform for Indian youth, providing personalized learning paths, real-time market analysis, and career guidance.
View ProjectAI-ML-Guide-For-Beginners
October 16, 2024 – October 16, 2024
A comprehensive guide and interactive notebook for beginners to explore Artificial Intelligence and Machine Learning, led by Pranam Srivastava, AI ML Lead at GDG IIIT Kota.
View Projectenergy-consumption-forecasting-system
September 8, 2024 – September 8, 2024
Energy Consumption Forecasting System - Infosys Springboard AI Internship Final Project
View ProjectInfosys-Interns-Projects
June 21, 2024 – October 9, 2024
Infosys-Interns-Projects — GitHub repository
View ProjectCultural Fit Analysis
The candidate's portfolio includes a variety of personal projects, many of which are AI/ML focused, alongside web development. This diversity suggests adaptability and a broad interest in technology. Projects like 'SamarthAI' and 'pragatishala-skill-development' indicate an interest in impactful, solution-oriented development, which aligns well with a culture that values innovation and problem-solving. The candidate's engagement in challenges and internships also points to a proactive and learning-oriented mindset.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on diverse projects, including AI/ML and web development. The nature of personal projects implies self-motivation and problem-solving skills. However, without formal assessment data (e.g., psychometric test results) or interview insights, it is difficult to definitively assess soft skills like teamwork, communication, or stress handling.