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Software Engineer with less than a year in MERN Stack, AI & Cloud DevOps
As a Software Engineer specializing in the intersection of Scalable Web Apps and Applied AI, I architect full-stack solutions using MERN Stack with a primary focus on moving ML and DL models into production. My technical expertise spans Backend Systems (Flask, MongoDB, MySQL), AI Domains (Computer Vision, NLP), and Cloud DevOps (Docker, K8s, AWS). I complement this technical toolkit with a collaborative, Agile-driven approach, leveraging analytical problem-solving and adaptability to turn complex data challenges into seamless user experiences. I am a dependable communicator committed to building efficient, intelligent software that bridges the gap between data-driven insights and real-world scalability.
National University of Computer and Emerging Sciences (FAST)
Bachelor of Software Engineering · Software Engineering
August 1, 2022 – June 30, 2026
Fazaia Degree College
Intermediate · Pre-Engineering
June 1, 2019 – May 31, 2021
CHI Technologies
Student Intern - Project Management
November 1, 2025 – December 31, 2025
India
NCRA UAV Dependability Lab
Student Intern – Data Engineering
June 1, 2025 – August 31, 2025
India
AI-based Virtual Try-on System
June 25, 2026 – Present
Built an AI-based virtual try-on system for apparel visualization on images and 3D models.
Movie Recommendation System
June 25, 2026 – Present
Developed a movie recommendation system using machine learning techniques.
Healthcare Website
June 25, 2026 – Present
Designed and delivered a healthcare website for a client with user-focused features.
AI-based System for Cement Floor Defect Detection
June 25, 2026 – Present
Implemented an AI-based system to detect strength and permeability in cement floor images.
Machine Learning A-Z (AI with Python)
Unknown
June 1, 2026 – Present
100 Days of Code - Python Bootcamp
Unknown
June 1, 2026 – Present
Web Development Bootcamp Dr. Angela Yu
Unknown
June 1, 2026 – Present
Agile Project Management and Agile Delivery
Unknown
June 1, 2026 – Present
Amazon Web Services
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity (AI, web development, freelance) and stated interest in 'bridging the gap between data-driven insights and real-world scalability' suggest a proactive and adaptable mindset. The internships, though short, show an eagerness to gain practical experience. The breadth of skills listed (languages, frameworks, tools) indicates a willingness to learn and adapt to different technologies, which is positive for cultural fit in a dynamic environment. However, the experience level is very junior, which might not align with a senior role's expectations for independent leadership and mentorship.
Soft Skills & Operational Fit
The candidate's resume highlights an 'Agile-driven approach' and being a 'dependable communicator' committed to 'building efficient, intelligent software'. The project management internship also indicates exposure to planning and tracking tasks, suggesting an understanding of operational workflows. However, without direct assessment, these remain self-reported.