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AI Engineer with 2+ years in Machine Learning & Full-Stack Development
B.Tech AI & ML student (Batch 2027) at Chandigarh Engineering College with strong foundations in Python, Java, Data Structures & Algorithms, and full-stack software development. Experienced in building end-to-end software solutions — from ML pipelines and REST API backends to full-stack web applications — with a consistent focus on clean code, scalability, and maintainability. Hands-on with automation scripting, data analytics, debugging, unit testing, and version control in real-world settings. Collaborative team player with strong communication skills and a structured, problem-solving approach to software engineering and technology challenges.
Chandigarh Engineering College
Bachelor of Technology · Artificial Intelligence and Machine Learning
August 1, 2023 – September 1, 2027
Star Way Senior Secondary School
Higher Secondary Education
March 1, 2010 – March 1, 2023
CGC University
Social Media & Digital Solutions Intern
May 1, 2024 – Present
Patiala, Punjab, India
Chandigarh Engineering College
Webmaster
April 1, 2024 – August 1, 2024
India
Connectify
January 1, 2024 – December 31, 2024
Designing and developing a full-stack creator marketplace platform with a React + Vite frontend and a Node.js/Express.js backend, following MVC architecture and RESTful API design principles. Implementing JWT-based authentication and authorization system with secure registration, login, and session management flows. Building reusable, modular React components with clean code practices; managing state and routing for a multi-page single-page application. Integrating MongoDB for persistent data storage; designing schema-driven models for users, profiles, and marketplace listings. Maintaining version control with Git; following structured commit practices, feature branching, and code review workflows throughout development.
Crop Yield Prediction Tool
January 1, 2024 – December 31, 2024
Designed and implemented an end-to-end ML pipeline, including data preprocessing, feature engineering, model training, and evaluation, achieving ~85% prediction accuracy. Built modular and reusable Python components following clean code practices and structured project architecture for scalability. Performed exploratory data analysis (EDA) and optimized model performance through hyperparameter tuning and algorithm selection (Random Forest, XGBoost). Implemented unit testing (pytest) and validation checks to ensure data integrity and model reliability before deployment. Debugged and optimized data pipelines; maintained thorough documentation, version control (Git), and participated in code reviews to ensure maintainability and collaboration.
Generative AI Certification – Professional AI/ML Training Platform
Unknown
June 1, 2026 – Present
Deloitte Australia – Technology, Data Analytics & Cyber Security Job Simulations
Deloitte Australia
June 1, 2026 – Present
Python Programming Certification – Recognized Programming Course
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects (Crop Yield Prediction Tool, Connectify) and internships (Social Media & Digital Solutions Intern, Webmaster) showcase a diverse skill set spanning AI/ML, full-stack development, and web management. The involvement in club activities and internships indicates a collaborative mindset and willingness to engage in different roles. The pursuit of certifications in Generative AI and Python further demonstrates a commitment to continuous learning and alignment with an AI Engineer role.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, analytical thinking, communication, and teamwork skills through project descriptions and internship roles. The ability to automate content creation and analyze social media metrics indicates a proactive and results-oriented approach. The focus on clean code, scalability, and maintainability aligns with good operational practices.