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Software Engineer with less than a year in DevOps, AI/ML, and cloud platforms with academic project
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Assessing your cultural and operational fit
Prabha Sinha is an aspiring Software Engineer with a specialization in DevOps and AI/ML. She possesses strong technical skills in C, Python, Java, AWS, Docker, Kubernetes, and machine learning pipelines. Her projects demonstrate practical experience in deploying web applications on AWS, building AI-driven image processing systems, and developing desktop applications using Java. Prabha is actively pursuing a B.Tech in Computer Science and is well-versed in core CS concepts like Data Structures & Algorithms and Operating Systems.
Chandigarh University
B.Tech · Computer Science
August 1, 2022 – June 30, 2026
Python-Based Web Application Deployment on AWS
June 16, 2026 – Present
Deployed a Python web application on AWS EC2 (Ubuntu); configured NGINX as a reverse proxy for HTTP(S) traffic, improving throughput and load distribution across cloud environments. Utilized AWS S3 for static asset storage and automated environment setup via Bash scripts, ensuring repeatable, zero-downtime deployments consistent with enterprise-grade CI/CD practices. Demonstrated production-level cloud deployment skills in infrastructure automation and DevOps delivery.
Object-Preserving Image Resizing via Segmentation-Guided Seam Carving
June 16, 2026 – Present
Developed a content-aware image resizing system that integrates semantic segmentation masks into the seam carving energy function to protect important objects from distortion during resizing. Designed a custom energy map pipeline that assigns high-cost weights to segmented object regions, guiding the seam selection algorithm to remove only background pixels and minimize object degradation. Demonstrated applied AI/ML and computer vision skills in digital media, intelligent automation, and AI-driven image processing.
Java Desktop Application Suite
June 16, 2026 – Present
Developed a multi-module desktop application using Java Swing integrating a Data Entry Management System (CRUD), Advanced Calculator (multi-operand expressions with brackets), Quiz Game with scoring logic, Multiplayer Tic-Tac-Toe using basic networking, and a Document Browser for file handling. Applied core OOP principles (Encapsulation, Inheritance, Polymorphism) with event-driven GUI programming; integrated file handling and database connectivity via JDBC with a modular, reusable code architecture designed for scalability. Built a modular, scalable desktop application suite showcasing end-to-end Java development - from GUI design and event handling to database integration and basic networking.
Cultural Fit Analysis
The candidate's academic projects demonstrate a diverse interest in web development, AI/ML, and desktop applications, which suggests adaptability and a willingness to explore different technical domains. The specialization in DevOps within their B.Tech degree aligns with modern software development practices. However, the lack of professional experience or extracurricular activities makes it challenging to fully assess cultural fit beyond technical alignment and project diversity.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted problems and a focus on practical application of technical skills. The academic projects suggest a proactive learning approach and an interest in diverse technical areas. However, without specific behavioral or psychometric test results, it is difficult to assess soft skills like teamwork, communication, or stress handling in an operational context.