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Full Stack Engineer with less than a year in Python, Node.js, React.js, and Cloud.
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Assessing your cultural and operational fit
Motivated AI & Data Science student with hands-on experience in backend (Node.js, Python), frontend (React.js, Next.js), and cloud/DevOps fundamentals. Proficient in REST API development, relational and NoSQL databases (MySQL, PostgreSQL, MongoDB), and Git-based version control. Actively uses AI-assisted development tools (Co-pilot, Claude) and has foundational knowledge of prompt engineering and AI API integration. A self-starter and collaborative team player with a high sense of ownership, committed to building robust, maintainable, and well-documented solutions.
Chandigarh Group of Colleges
B.Tech · Artificial Intelligence and Data Science
August 1, 2023 – June 30, 2027
H.D. Sr. Sec Public School
X
N/A – May 31, 2021
H.D. Sr. Sec Public School
XII · Non-Medical Stream
N/A – May 31, 2023
PG Tech
Data Science Trainee
May 1, 2026 – June 1, 2026
Mohali, Punjab, India
Techlive Solutions
Java Full Stack Development Trainee
March 1, 2026 – June 1, 2026
Chandigarh, Chandigarh, India
AI Propensity Model for Farmer Technology Adoption
June 1, 2026 – Present
Developed an AI propensity model to predict farmers' likelihood of adopting modern agricultural technologies, converting complex socio-economic data into actionable business insights. Delivered Power BI dashboards to visualize adoption patterns and regional trends, enabling data-driven outreach decisions for stakeholders. Collaborated across teams to ensure the solution was robust, extensible, and aligned with real-world business goals.
View ProjectSmart Hospital Management System
June 1, 2026 – Present
Built a full-stack hospital management system with responsive UI using React.js and Bootstrap, and RESTful APIs via Node.js/Express.js — adhering to web and team standards for reusable, maintainable frontend components. Implemented role-based access control for admin, doctors, and patients; automated appointment scheduling to reduce manual overhead. Delivered with high ownership end-to-end from system design and coding to testing and deployment with no critical defects at release.
View ProjectIntelligent AI-Driven Heart Disease Risk Prediction System
June 1, 2026 – Present
Designed and developed an ML pipeline to predict heart disease risk from patient health data, applying strong DSA principles for efficient data processing. Performed feature engineering, algorithm comparison, and SQL-based data querying to improve prediction accuracy and support preventive healthcare decisions. Built a clean user interface to present complex model outputs clearly to non-technical stakeholders.
View ProjectGen AI-Powered Data Analyst Job Simulation
TATA
June 1, 2026 – Present
Java Full Stack Development
Techlive Solutions
June 1, 2026 – Present
Data Analyst Job Simulation
Deloitte
June 1, 2026 – Present
Neural Networks and Deep Learning
Coursera (DeepLearning.AI)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in AI/ML applications alongside full-stack development. The 'Smart Hospital Management System' project shows a practical application of full-stack skills, while the AI-driven projects indicate an analytical and problem-solving mindset. The internships, though short, show initiative in both Java Full Stack and Data Science. This breadth of interest and willingness to learn new domains suggests a good cultural fit for dynamic, innovation-driven teams. However, the experience level is very low, which might impact immediate cultural integration into a senior role.
Soft Skills & Operational Fit
The candidate highlights problem-solving, analytical thinking, ownership mindset, team collaboration, adaptability, leadership, and communication as soft skills. Project descriptions emphasize collaboration, adherence to standards, and end-to-end ownership, suggesting a good operational fit for team environments and a commitment to quality.