Abhishek Paghdal **************@*****.***
Software Engineer +91-769******* Vadodara, India
linkedin.com/in/abhishek-paghdal
SUMMARY
Software Engineer specializing in architecting and modernizing legacy industrial software into scalable, service-oriented platforms. Proven ability to translate complex engineering workflows into high-performance applications using C#, .NET, C++, and SQL Server. Demonstrated early ownership of critical manufacturing modules, delivering measurable operational improvements including a 27% reduction in material waste. Strong systems thinker focused on clean architecture, performance optimization, and building resilient production-grade software. EXPERIENCE
– Windowmaker Software Pvt. Ltd. Vadodara, India
Software Engineer Jul 2023 – Present
– Owned the architectural modernization of legacy manufacturing software by decomposing monolithic components into modular, UI-independent services (PlanningService, ProcessService). Defined service boundaries, improved inter-module data flow, and enabled cross-platform reuse across CLI and web environments, strengthening scalability and long-term maintainability.
– Engineered a production-grade optimization mechanism to virtually splice profile bars into unified assemblies. Re-architected machining workflows to support spliced components, increasing throughput and reducing material waste by 27%.
– Designed and delivered vendor-specific integration layers for CNC saws and welding stations by translating internal machining logic into machine-readable instructions, automating high-volume shop-floor processes and minimizing manual intervention.
– Diagnosed and resolved complex production issues impacting live deployments through deep root-cause analysis. Delivered stable fixes that improved operational reliability and reduced recurring defects across manufacturing workflows.
– Collaborated cross-functionally with QA, support, and senior engineering teams to deliver production-ready features, accelerate release cycles, and maintain high software quality standards.
– Rapidops Inc. Ahmedabad, India
Data Science Intern Jan 2023 – Jun 2023
– Developed classification and recommendation models using Python, Scikit-learn, and TensorFlow, applying NLP techniques to extract actionable insights from real-world datasets.
– Implemented end-to-end machine learning pipelines including data preprocessing, model training, evaluation, and deployment support for client-facing solutions.
KEY IMPACT
– Best Employee – Q2 2024: Recognized for delivering high-impact engineering contributions within the first year and demonstrating accelerated ownership of business-critical modules.
– Operational Efficiency: Led manufacturing optimization initiatives that significantly improved machining accuracy and reduced raw material waste by 27%.
TECHNICAL SKILLS
– Languages: C#, C++, Python, SQL
– Platforms & Frameworks: .NET /.NET Core, ADO.NET, LINQ, REST APIs, SQL Server
– Architecture: Service-Oriented Design, Modular Architecture, Legacy System Modernization
– Systems Expertise: Manufacturing Software, Industrial Automation Integrations, Data Flow Design
– Core Strengths: Performance Optimization, SOLID Principles, Production Reliability
– Tools: Visual Studio, SSMS, Git, Azure DevOps, GitHub Copilot, ChatGPT (AI-assisted development, debugging, and code optimization)
EDUCATION
– The Maharaja Sayajirao University of Baroda Vadodara, India B.E. in Computer Science and Engineering — 76.42% 2019 – 2023
– Shree Swaminarayan Gurukul (GSHSEB) Junagadh, India Higher Secondary Certificate — 92% 2018 – 2019