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Software Engineer Machine Learning

Location:
Normal, IL
Posted:
June 03, 2025

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Resume:

Vaibhav Dabhi

Normal, IL, USA +1-224-***-**** ****************@*****.*** LinkedIn

SUMMARY

Results-driven Software Engineer with 4+ years of experience building scalable web applications using Java, Spring Boot, and ReactJS. Proven ability to lead Agile teams, automate deployments using Docker and Kubernetes, and implement secure APIs and CI/CD pipelines. Experienced in cloud platforms like AWS and database optimization across SQL and NoSQL systems. Adept at translating business needs into technical solutions and driving performance improvements through data-driven development. EDUCATION

Master’s in Computer Science

Illinois State University, Normal, IL Aug 2024 – Present GPA: 3.75 Key Courses: Design and Analysis of Algorithms, Software Engineering, Machine Learning, Advanced Operating Systems, Introduction to AI, System Design

Bachelor’s in Information Technology

Gujarat Technological University, India May 2015 – May 2019 GPA: 3.41

TECHNICAL SKILLS

Languages: Java, Python, C, C++, JavaScript, SQL, TypeScript, HTML, CSS Frameworks/Tools/APIs: Spring Boot, Spring MVC, ReactJS, Quarkus, Bootstrap, Postman, REST, SOAP Cloud Platforms: AWS (Lambda, EC2, S3, IAM, VPC), Microsoft Azure (Fundamentals) DevOps & Version Control: Docker, Kubernetes, Git, GitHub, GitHub Actions, SVN, Jira Databases & Testing: MySQL, MongoDB, T-SQL, DBeaver, JUnit, Mockito ML/AI: TensorFlow, Scikit-learn, Pandas, Supervised and unsupervised machine learning EXPERIENCE

Software Engineer

Tatvasoft, Ahmedabad, India Nov 2023 – Jul 2024

• Led the full-stack development of an Interview Management System using React and Spring Boot, implementing JWT authentication and reducing hiring cycle time by 30%.

• Containerized services using Docker and managed deployments with Kubernetes, ensuring reliable CI/CD pipelines and zero- downtime releases.

• Managed a team of 5 developers: conducted peer code reviews, planned sprints, ran retrospectives, and communicated progress and challenges to stakeholders and senior leadership.

• Built dashboards for interview status tracking, improving HR decision-making with real-time data visualization.

• Optimized backend performance by enhancing SQL queries, reducing processing time by 30%.

• Collaborated across departments using JIRA, Git, and GitHub, contributing to system uptime and application stability. Consultant

Staunchsys IT Services Pvt. Ltd., Ahmedabad, India Jul 2021 – Oct 2023

• Built business workflows using OpenText AppWorks BPM, integrating SOAP APIs, custom Java code, and XML scripting, improving delivery speed by 40%.

• Developed full-stack solutions with Spring Boot, Spring MVC, and ReactJS, reducing frontend load times by 35% and improving user experience.

• Automated invoice workflows using UiPath, reducing manual effort by 60% while maintaining 98% data accuracy across thousands of transactions.

• Designed and managed AWS infrastructure to support high-volume applications processing 50,000+ secure transactions monthly.

• Enhanced payroll automation with T-SQL scripting in ADP, achieving full audit compliance and faster payroll execution.

• Acted as a client liaison, gathering requirements, converting them into technical tasks, and leading implementation; improved client satisfaction and onboarding by 25%.

Technical Support Engineer

Kepsure Solutions Pvt. Ltd., Ahmedabad, India Nov 2020 – May 2021

• Administered VPN configurations, firewall rules, and server infrastructure to maintain security and uptime.

• Gained hands-on experience in cloud and on-premises environments, ensuring robust network performance. IONIC Developer

MindTech Consultancy, Ahmedabad, India Aug 2019 – Dec 2019

• Built cross-platform mobile apps using IONIC and JavaScript, gaining hands-on experience in responsive UI development.

• Contributed to front-end codebases early in career, supporting my foundation in modern web development. PROJECTS

Interview Management System (IMS) – Full Stack Developer

• Architected and led development of a full-stack app for automating interview scheduling and feedback collection.

• Designed RESTful APIs with Spring Boot, secured using JWT, and built responsive UI with ReactJS.

• Collaborated with HR and product teams to align features with business needs, reducing hiring turnaround by 30%.

• Implemented CI/CD pipeline with GitHub Actions and performed unit testing to ensure code quality.

• Led a team of 5 developers; handled peer code reviews, sprint planning, and stakeholder demos. Network Device Detection via ML – Machine Learning Engineer

• Collaborated with faculty to design a supervised ML pipeline for classifying IoT devices based on Layer 2 (Data Link Layer) network features using Python, Scapy, and Pandas.

• Engineered data transformation scripts to extract MAC-based behavioral features from PCAP files, enabling spoofing detection and structured device classification.

• Trained a Random Forest classifier on features like Inter-Arrival Time, EtherType, and Frame Length, achieving near-perfect classification across multiple smart home IoT devices.

• Visualized model performance using confusion matrices and classification reports, laying the foundation for a scalable, real-time network anomaly detection system.

Workforce Software – SQL Developer

• Developed and optimized SQL procedures, triggers, and scripts to support high-volume payroll operations with accurate, scalable processing.

• Collaborated with clients to gather and translate payroll compliance requirements into technical specifications for development.

• Integrated backend solutions with HR and time-tracking platforms, ensuring legal compliance and seamless employee data flow.

• Delivered database enhancements that improved data integrity and increased payroll processing speed by 25%, reducing errors by 30% across thousands of employee records.

TOLOKA AI – AI Solution Developer

• Refactored AI model code and SQL queries, improving throughput and fault tolerance.

• Enhanced model execution by implementing efficient error and exception handling strategies. PRPO System – Full Stack Developer

• Developed a purchase requisition workflow with multi-level approval logic.

• Ensured compliance and visibility by integrating dynamic access control features. NPS Feedback Platform – Full Stack Developer

• Created a multilingual feedback collection tool used in 7+ languages.

• Improved customer insights and decision-making with real-time feedback analytics dashboards. CERTIFICATIONS

• AWS Certified Cloud Practitioner

• Atlassian Agile Project Management Professional Certificate



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