I'm
Kush Jayesh Ahir
Software Developer, Web Developer, Front-End Developer, Backend Developer, Apps Developer
I am a software developer with a strong command over a diverse range of programming languages and technologies, including Python, Java, React, and various AWS services. My technical expertise is matched by my proficiency in front-end and back-end development, where I am committed to writing clean, efficient, and maintainable code. I excel in adapting to different software architectures and frameworks to ensure optimal performance and scalability across projects.
Alongside my technical abilities, I bring robust soft skills to every team I join. My effective communication, strategic planning, and conflict resolution skills enhance team dynamics and productivity. I employ agile methodologies to manage projects, fostering an environment of continuous improvement and collaboration. This blend of technical acumen and interpersonal skills allows me to lead initiatives and drive projects to successful completion in fast-paced and challenging tech environments.
Rochester Institute of Technology | 2023 - Present
GPA: 3.63/4.0
I am currently pursuing a Master of Science in Computer Software Engineering at Rochester Institute of Technology, with a minor in Data Science. Through this program, I am deepening my expertise in advanced software design and development, while also gaining valuable insights into data analysis, machine learning, and modern data-driven practices. This combination enhances my ability to engineer innovative software solutions and manage large-scale projects with a focus on intelligent systems and scalable architectures. The rigorous curriculum and collaborative projects are preparing me to excel in a dynamic and evolving tech landscape, strengthening my skills in both technical execution and strategic planning.
LJ Institute of Technology and Engineering | 2019 - 2023
CGPA: 8.52/10
I completed my Bachelor of Engineering in Electronics and Communication at Gujarat Technological University, gaining a robust understanding of core technical concepts and hands-on engineering skills. This program equipped me with critical analytical abilities and a deep appreciation for the interplay between hardware and software, setting the stage for my subsequent pursuits in software engineering. My studies focused on both theoretical knowledge and practical implementations, preparing me to tackle complex technical challenges effectively.
View CertificateRochester Institute of Technology | Aug 2024 - Present
As a Course Assistant at RIT, I have significantly improved student outcomes by providing targeted instruction in software processes and development tools. Through my mentorship, tool setup time was reduced by 25%, enhancing project success rates by 30%. Additionally, my critical feedback and personalized support led to an 18% improvement in class performance, contributing to a 90% pass rate.
Axisray Pvt Ltd | Jan - May 2023
At Axisray Pvt Ltd, I refined my Java skills, accelerating software delivery and enhancing system reliability. I developed machine learning models that improved the accuracy of the Indian College Recommendation System by 30%. Additionally, I streamlined Java and Python Flask data workflows, increasing efficiency by 25% while lowering operational costs. By upgrading Spring Boot for JSP applications, I enhanced data visualization and team collaboration. My cross-departmental coordination efforts also improved project timelines by 20%, ensuring stable delivery schedules.
Moon Technolabs Pvt Ltd | May - Oct 2022
During my internship at Moon Technolabs Pvt Ltd, I was selected from a pool of 40 candidates to lead a SaaS supply chain resiliency project, increasing operational efficiency by 30%. I took on multiple roles, enhancing HRMS and CRM systems, which resulted in a 25% improvement in process efficiency. My leadership and initiative in various projects contributed to significant improvements in product quality and operational cost management.
Expert in building scalable and high-performance web and mobile applications using React, Spring Boot, Flask, and PostgreSQL.
Specialized in AWS, Azure, Kubernetes, Docker, and CI/CD Pipelines for efficient deployment, scaling, and automation.
Proficient in designing and managing relational and NoSQL databases like MySQL, PostgreSQL, and MongoDB for optimized data handling.
Building cross-platform mobile applications with React Native and integrating cloud services for seamless performance.
Expertise in unit testing, integration testing, and test automation to ensure software reliability and performance.
A group expense-splitting app built with React Native and Flask. It features real-time balances, receipt uploads (Textract), and group settlements using AWS services.
Chat with AI-generated fictional characters you create! Users provide traits, backstory, and personality, and the app handles dynamic conversations using GPT integration.
A mobile app for comparing product prices across online retailers. Built with React Native, includes user login, product search, wishlist, and data parsing from APIs.
A financial analytics platform deployed on AWS with Docker scalability. It integrates predictive analytics, boosting decision-making by 25%.
An AI-powered college recommendation system improving student advisement accuracy by 30% using Java, Flask, and MySQL.
A MERN Stack-based Crime Data Detection system that processes Los Angeles crime data from 2020 onwards. Crime records are ingested into MongoDB, cleaned, and geospatially formatted. Google Street View images of crime locations are fetched via API and stored in GridFS, with optimized retrieval through a custom endpoint. Enhances data visualization and investigative insight using real-time geolocation and image association.
This research paper examines the 2017 Equifax data breach, a cybersecurity disaster that compromised the personal data of 147 million individuals. The study dissects the failure from a software architecture standpoint, identifying key issues such as an unpatched vulnerability in Apache Struts, poor security monitoring, and reliance on outdated legacy systems. The paper highlights how technical debt and inefficient security patching led to an extended period of unauthorized access. Proposed solutions include a shift to microservices, automated security patching, and Zero Trust architecture to mitigate future breaches. The case study serves as a cautionary tale for enterprises managing sensitive consumer data.
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This paper explores how legacy systems impact modern open-source development and proposes using design patterns to improve their maintainability, security, and scalability. The authors implement Factory, Observer, Strategy, and other patterns to reduce code complexity and enhance modularity. Empirical results using SonarQube and JaCoCo show measurable reductions in cyclomatic complexity across key modules of an online cab booking system.
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This review evaluates the DISTO metric introduced for assessing textual distractors in reading comprehension MCQs. The authors propose a novel approach using negative sampling strategies—such as answer replication, clustering, and BERT-based mask filling—combined with transformer-based models like DistilRoBERTa. The paper critiques traditional BLEU-like metrics and highlights DISTO's improved semantic sensitivity and human-aligned performance. Limitations around multilingual support, grammar validation, and computational scalability are discussed with future work directions.
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