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Schedule Interview NowMy name is Rohaan T. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Java, SQL, Mule, CI/CD, RESTful API, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: Inventory Sales Management Report, Middleware Solution for a Telecom Company, Integration of User and Publication Data from multiple systems, Newzealand Sales Analysis, Volume Tracker, etc.. I am based in Islamabad, Pakistan. I've successfully completed 7 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
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Techlogix
The report provides insights into the performance of products, sales trends, and inventory levels, allowing businesses to make informed decisions about inventory management and product ordering. The Power BI report for inventory sales management typically includes key metrics such as total sales, sales by product category, inventory levels, and product performance. The report may also include visualizations such as line charts, bar charts, and tables to help users visualize and understand the data.
The project involved using RedHat Fuse as the middleware to fetch, aggregate, map, and transform customer data from various systems. The goal was to create APIs with a single source of truth for various customer data that could be accessed by different applications. The project required a thorough understanding of the different systems that housed customer data, as well as the ability to write efficient code to extract and transform this data. The middleware needed to be scalable, as the amount of data being processed was quite large and would increase over time. We worked on creating a middleware layer that would pull data from the different systems, aggregate it, and transform it according to the data mapping document. The middleware was designed to handle both real-time data as well as batch data processing. The project was a success, with the middleware layer providing a single source of truth for customer data while maintaining a efficiency and keeping in check the response time for different APIs.
This Project was for a Medical Society, mostly focusing on one of their module/journal. Details are as follows; Problem: Client's data distributed in 3 different systems with no unified bridge or ESB to connect the three. Objective: Create active mapping between data using existing data labels. Provide an efficient solution for the Client to have all the data available through simple RESTful service. Solution: Mule based RESTfull APIs, over 30 different APIs were developed following Mule's three-layered structure. With System layer APIs connecting directly to the end systems and databases, Process APIs connecting different end systems (using System Layer APIs) with each other and Experience Layer APIs with data transformations and mappings according to client's need.
The report provides insights into customer behavior, sales trends, and product performance, allowing businesses to optimize their sales strategies and improve their bottom line. The Power Bi report for sales analysis in New Zealand typically includes key metrics such as total sales, sales by region, product performance, and customer demographics. The report may also include visualizations such as maps, charts, and tables to help users visualize and understand the data.
In a Power BI report for an oil company, sales and quantitative analysis would typically include data on oil production, sales, revenue, and expenses. This data is used to generate key performance indicators such as profit margins, return on investment, and market share. The report also features data visualizations, such as graphs and charts, to help stakeholders better understand the data and identify trends. The visualizations could highlight important metrics such as total barrels produced, average selling price per barrel, and revenue by customer. Additionally, the report also includes a detailed analysis of the company's sales performance over time, including information on seasonality and trends. This information is being used to optimize pricing strategies and production planning, helping the company increase profitability and market share.
Bachelor of Science (BS) in Computer engineering
2015-01-01-2019-01-01