• Engineered an automated warehouse structure validation platform using C#/.NET, React/Redux, and Docker/Kubernetes, validating structure parts to ensure installation readiness and reduce manual commissioning effort.

• Improved system scalability through asynchronous batch processing with Threading Channels, consolidating large volumes of Elasticsearch write operations into efficient batched calls.

• Provided production support for live site deployments, diagnosing and resolving structure validation issues using UNIX tools, shell scripting, and Elasticsearch log analysis to maintain commissioning quality and reduce downtime.

• Developed a configurable warehouse simulation framework in C#/.NET with JSON-driven presets, automating capacity testing, streamlining test setup, and enabling early identification of infrastructure bottlenecks.

• Developed an alerting system for the in-house Playback Tool using C# and WPF, improving issue detection through automated analysis of bot-generated ion logs.

• Built a C#/.NET Core CLI application for automated Kafka report testing, streamlining QA workflows and supporting continuous integration for real-time data pipelines.

• Engineered a high-performance log processing pipeline with comprehensive test coverage, ensuring data integrity across distributed warehouse automation systems

• Designed and deployed MVP of ”Quggle DRI” using Angular (Material UI).

• Backend implemented in Node.js and database used was Elasticsearch.

• Built an advanced E-Commerce website named 'Retail Demo' which was demonstrated at

AI Summit London.

• Developed mobile banking application ”Cymbal” with a user-friendly Frontend via Flutter and Dart

technology using Agile methodology.

• Incorporated Google Firebase for secure authorization and two-step authentication.

• Utilized Git for version controlling and collaboration

• Executed efficient web scraping of multiple E-commerce websites to gather valuable information, including Table of Contents (TOC), summary, title, tables, and publisher name, using Python.

• Automated web scraping process using Python libraries Selenium and Beautiful Soup.

• Deployed bot on AWS EC2 interface