Hello! I'm Shashwat
I am a Computer Science graduate student at the University of Texas, Arlington, and I am scheduled to graduate in May 2024. I have developed proficiency in languages like Java, Python, and C/C++, SQL along with expertise in various web technologies line Rest API, HTML/CSS, Javascript, React-Native, databases like PostgreSQL, Oracle, Redis, and frameworks like Spring, Spring Boot, and Hibernate. I bring hands-on expertise in software development, database management, and full-stack implementation. My project portfolio showcases hands-on experience in diverse technologies, including leading a plant seedling classification project and engineering user-friendly Android applications. Recognized with the Manhattan Associates Shining Star 2019 and Unsung Hero 2020 awards, I am eager to contribute my skills and enthusiasm to a dynamic Software Development Engineer position.
EDUCATION
2022-2024
Master's Degree
University of Texas at Arlington
Design & Analysis of Algorithms, Data Analysis and Modelling techniques, Database Systems, Cloud computing, Software Engineering, Computer Networks, Web Development, Mobile Development, Machine Learning, Artificial Intelligence]
2013-2017
Bachelor's Degree
Heritage Institute of Technology
Bachelor's in Computer Science & Engineering
8.1/10.0 GPA
SKILLS
Programming Languages : Java, Python, C/C++, YAML, Pig, Hive, R, SQL, Pl-SQL
Web Technologies : HTML5, CSS, JavaScript, PHP, Flask, React-Native, JSON, XML, REST API
Tools and Databases: Git/GitHub, SVN, Bitbucket, Oracle, MYSQL, PostgreSQL, MongoDB, Firebase, Redis, Junit, Maven, Excel.
Platforms & Frameworks: AWS, Jenkins, Spring Boot, Spring, Hibernate, Docker, Linux, Android, Kafka, Docker, Hadoop, RabbitMQ, TensorFlow, PyTorch
Domains: Software Engineering, Agile Methodology, Data structures and Algorithms, Object-oriented programming, Web Application Development.
July 2024- Present
Software Engineer
Goldman Sachs
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Transformed complex business requirements into innovative technical designs, ensuring alignment with goals and industry standards.
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Engineered entitlement features with DropWizard and Gradle, boosting efficiency by 15% through role-based access functionality.
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Devised an automated testing suite with Selenium and TestNG, reducing bugs by 25% and enhancing backend software quality.
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​Enhanced application speed and reliability with Executor and synchronized multithreading mechanisms, achieving a 10% uplift.
August 2021 - July 2022
Software Engineer
Oracle
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Developed REST APIs to integrate pricing strategies, enabling real-time adjustments based on market and dynamic business factors.
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Streamlined product filtering in a Demand Management app, boosting efficiency by 32% using pivot tables and PL-SQL optimizations.
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Excelled in on-call support in go-live events, ensuring rapid issue resolution with a response time of under 12 hours using the ELK stack.
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Led 18 sprint cycles and 10 planning sessions in Agile Scrum, promoting continuous improvement to meet customer needs.
September 2019 - August 2021
Software Engineer
Manhattan Associates
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Engineered Cycle Counting functionality using Java 11, Oracle as database and Apache Kafka leading to a 10% increase in productivity.
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Integrated the Transport Management System (TMS) with WMOS using REST APIs and React, downscaling operating expenses by 30%.
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Collaborated with cross-functional development teams to analyze evolving client requirements and system solutions for end-to-end.
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Continuous Integration/Deployment Pipeline Integration, pull requests, code reviews, AWS Functions, unit/integration/e2e testing.
August 2017 - August 2019
Tata Consultancy System
Software Engineer
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Spearheaded Cash Management Module integration with Angular, Spring, Java, OAuth, API Gateway, and Redis with 98% JUnit coverage.
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Revamped POS return functionality using Executor framework and design patterns, ensuring 2-second SLA and cutting delays by 74%.
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Transformed a monolithic system into microservices with Spring Boot, Java, and MongoDB, slashing server downtime by 70%.
EXPERIENCE
TECHNICAL PROJECTS
August 2023-November 2023
(Python, Tensor Flow)
Plant-Seedlings-Detection-using-Deep-Learning
Led a plant seedling classification project using CNNs and ResNet152V2 models, achieving 84% accuracy in real time data testing.
August 2023-November 2023
(Python)
Game Developer
Designed 8-Puzzle and Red-Blue Nims using Iterative Deepening Search, Uniform Cost Search, Alpha-beta pruning, and
Backtracking AI algorithms.
August 2023-November 2023
Yelp Reviews Sentiment Analysis
(Python, Tensor Flow)
Built a Naive Bayesian model that classifies Yelp reviews into positive and negative based on words used and prior/posterior probabilities with Laplace smoothing and studied efficiency variation.
January 2023-April 2023
(Java, Firebase, Android Studio)
Chat Application for University's student
Engineered and launched MavsConnect, a user-friendly chatting application for college students; incorporated key features such as real-time messaging, group chats resulting in a highly engaging platform for seamless communication.
January 2023-April 2023
(React-Native, PHP, Android Studio, IOS)
ClearSpeak – RonsApp
Designed and launched a user-friendly pronunciation app called RonsApp, aimed at improving speech clarity and articulation. Created an interactive quiz feature that enables users to assess and track speech clarity enhancements.
August 2022-November 2022
(Python(flask), HTML/CSS, Oracle Database)
Store Management System
Developed a robust web application for Store Management to generate comprehensive reports that enhanced the company's store management capabilities resulting in a 15% improvement in inventory accuracy
August 2022-November 2022
(Java, Data Structures, Algorithms))
Sorting Algorithms Analysis
Analyzed sorting algorithm time complexity on random data of 20, 100, 1000, and 4000 rows with three numbers (1-99) a well on real inventory data. Adapted algorithms for sorting rows decreasingly by sum.
EXPERTISE
Full Stack Developer
As a seasoned Full Stack Developer, I bring a wealth of expertise spanning both front-end and back-end technologies. Holding a Master's degree in Computer Science from the University of Texas, Arlington, I have acquired a comprehensive skill set that includes proficiency in programming languages such as Java, Python, C/C++, and various web technologies like HTML5, CSS, React and JavaScript. My hands-on experience extends to the utilization of frameworks and platforms such as Spring Boot, React-Native, Docker, and AWS, showcasing my ability to architect scalable and efficient solutions. I have successfully contributed to diverse projects throughout my career, from enhancing user efficiency in demand management applications to seamlessly integrating features into warehouse management systems, resulting in substantial productivity gains. My commitment to innovation is evident in projects like database systems, cloud computing, and mobile development further underscores my capability to navigate the complexities of full-stack development. My track record includes recognition as a Shining Star and Unsung Hero at Manhattan Associates, reflecting my dedication and impact within the software engineering domain.
ML Engineer
My expertise lies at the intersection of advanced algorithms, data analysis, and innovative problem-solving. Armed with a Master's degree in Computer Science from the University of Texas, Arlington, my academic foundation is complemented by hands-on experience in developing and implementing machine learning models. Proficient in languages such as Python and R, I have successfully applied my skills to diverse domains, including plant seedling classification using CNNs and ResNet152V2 models with an 84% accuracy rate in real-time testing. My experience extends to the design and deployment of complex systems, such as the Medicare project, where I leveraged Pig, Hive, and Hadoop to analyze reimbursements and generate key metric reports. Additionally, my versatility is showcased in projects like MavsConnect, a user-friendly chatting application for college students, demonstrating my ability to bridge the gap between cutting-edge machine learning techniques and practical, user-centric applications. With a solid foundation in data structures, and algorithms, and a commitment to staying at the forefront of emerging technologies, I am equipped to tackle the challenges and drive innovation in the dynamic field of machine learning.