AI Engineer with less than a year in Python programming and full-stack development.
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B.Tech Computer Science Engineering (AI & Data Science) student at CGC Jhanjeri with strong proficiency in Python programming, REST API development, and backend systems engineering. Experienced in building full-stack applications with Python, Node.js, React.js, MongoDB, and SQL, with hands-on exposure to Django-based workflows, API integration, and database management. Skilled in problem solving, Agile development practices, and delivering scalable backend solutions. Passionate about learning new technologies and contributing to real-world software projects through structured development and collaborative teamwork.
Chandigarh Group Colleges, Jhanjeri
Bachelor of Technology · Computer Science Engineering (AI & Data Science)
August 1, 2023 – June 30, 2027
Shri Guru Angad Dev Public School
Senior Secondary Education (12th) · Non-medical
June 1, 2022 – May 31, 2023
Jiya Lal Mittal Dav Public School
Senior Secondary Education (10th)
June 1, 2020 – May 31, 2021
Shop Sync (Major Project)
January 1, 2026 – June 1, 2026
Developed and consumed REST APIs using Java and Spring Boot, implementing JWT-based authentication, CRUD operations, and backend integration following industry-standard engineering practices. Built modular backend architecture for an e-commerce platform, handling authentication, product management, and order processing with structured database design across SQL and MongoDB. Implemented object-oriented design principles and modular architecture, following SDLC practices and Agile-based sprint planning across iterative development cycles. Tracked backend performance metrics and led optimization cycles, improving API response time by 35% through structured debugging and iterative testing workflows. Integrated SQL and MongoDB databases to support data-driven product decisions and efficient structured data retrieval across 8-9 product categories. Performed API testing using Postman across all backend endpoints, identifying and resolving 12-15 critical issues pre-launch and ensuring reliable system performance. Supported end-to-end deployment workflows and application optimization, contributing to scalable system execution and a 35% reduction in post-deployment issues. Implemented JWT Authentication for secure user session management and developed CRUD operations across core product and order management modules.
Terrafy (Smart Agriculture Platform)
January 1, 2026 – June 1, 2026
Built backend workflows and automation pipelines using Python and Node.js, implementing data processing logic for crop monitoring, weather API integration, and AI-based recommendation generation. Developed REST APIs for real-time weather data integration and automated insights generation, enabling seamless communication between frontend dashboards and backend ML models. Applied Python-based computer vision workflows using OpenCV for image analysis and crop health detection, integrating model outputs into the product's recommendation engine. Collaborated across engineering, data science, and design teams in an Agile workflow — participated in sprint planning, defined user stories, and managed feature backlogs across 7 development cycles. Integrated Generative AI and chatbot-based assistance modules to deliver intelligent, user-facing automation features across the platform. Solved real-world agricultural problems using emerging technologies including computer vision, weather data integration, and ML-based recommendations, winning 1st Prize at the Escape Da Vinci National-Level Hackathon. Optimized backend processing and workflow automation pipelines, improving system performance and execution efficiency by 38%. Developed and tested RESTful backend APIs using Python-based frameworks, implementing structured data handling, authentication workflows, and automated integration pipelines.
Won 1st Prize at Escape Da Vinci National-Level Hackathon
Escape Da Vinci National-Level Hackathon
June 1, 2026 – Present
CompTIA Data Certification
CompTIA
June 1, 2026 – Present
AWS Certification
AWS
June 1, 2026 – Present
Oracle Academy Certification
Oracle Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including an AI-powered agriculture platform and an e-commerce system, shows a broad interest in applying technology to different domains. Their active participation in a hackathon and willingness to learn new technologies align well with an innovative and growth-oriented culture. The target role of 'AI Engineer' is well-aligned with their academic background (AI & Data Science) and project experience in AI/ML, indicating a strong intrinsic motivation for the role.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, analytical thinking, and team collaboration skills through project descriptions. Their involvement in Agile workflows and cross-functional team collaboration indicates a good operational fit. The ability to optimize system performance and debug issues suggests a practical, results-oriented approach. However, as an early-career candidate, their experience in leading complex operational initiatives or handling high-pressure production environments is likely limited.