Ebad Rahman

Software Engineer

Malappuram, Kerala, India5 yrs 9 mos experience

Key Highlights

Passionate about tackling complex software challenges.
Experienced in developing microservices for payment systems.
Strong background in energy consumption analysis and predictive modeling.

Stackforce AI infers this person is a Backend-focused Software Engineer with experience in Fintech and Energy Management.

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Skills

Core Skills

Go (programming Language)Amazon Web Services (aws)MicroservicesJavaMachine LearningPython (programming Language)Game DevelopmentC#

Other Skills

DatadogSpring Boot.NET FrameworkPaymentsC++Artificial Neural NetworksUnityCommunicationProblem SolvingComputer EngineeringC (Programming Language)EngineeringEnglish

About

Embracing my roots as a software enthusiast, I find joy in unraveling complex challenges and navigating the ever-evolving landscape of technology. Much like the thrill of exploration, I approach each problem with an insatiable curiosity, akin to setting foot in uncharted territory. In my journey through the vast world of technology, I've come to appreciate the power of risk-taking, understanding that it often leads to the most innovative solutions. While my formal education and experience may not perfectly align with the conventional paths of a software engineer, I've learned to leverage this unique perspective to my advantage. My penchant for tackling big problems has driven me to continually seek opportunities to contribute to the dynamic technology field. I thrive on the excitement of embracing challenges head-on, and my passion extends beyond mere problem-solving. I believe in the transformative potential of technology to shape a better future. Whether exploring cutting-edge solutions, experimenting with emerging trends, or delving into uncharted territories, I am always eager to push boundaries. In the realm of technology, I see not just a profession but a canvas where risks, creativity, and exploration converge. Let's connect and explore the vast possibilities of the world of technology. Together, we can embark on a journey of innovation and contribute to making the tech landscape even more vibrant and dynamic.

Experience

5 yrs 9 mos

Total Experience

1 yr 4 mos

Average Tenure

7 mos

Current Experience

Blinkit

Software Developer

Oct 2025 – Present · 7 mos · Gurugram, Haryana, India · On-site

Go (Programming Language)Amazon Web Services (AWS)Datadog

Pine labs

Software Developer

Jul 2024 – Sep 2025 · 1 yr 2 mos · Noida, Uttar Pradesh, India · On-site

Developing microservices architecture for payment systems. Working on Java-Spring boot services, C++ and .NET framework.

MicroservicesSpring BootJava.NET FrameworkPaymentsC+++1

Iit madras research park (iitmrp)

Data Analyst

Jun 2023 – Jul 2023 · 1 mo · Chennai, Tamil Nadu, India · On-site

During my internship at IIT Madras Research Park, I served as a data analyst, primarily focusing on analyzing the energy consumption patterns at the IIT Madras Research Park. My responsibilities encompassed conducting a comprehensive analysis of the entire energy consumption landscape within the Research Park. This involved scrutinizing data from various sources and identifying patterns, trends, and anomalies.
One significant aspect of my role was implementing anomaly detection techniques to identify irregularities or deviations in energy consumption patterns. This not only required a deep understanding of the data but also the application of advanced analytical methods to ensure accurate anomaly identification.
Furthermore, I was actively involved in predicting future energy consumption based on historical data and incorporating insights derived from the growth and changes in the number of companies and organizations operating within the Research Park. This predictive analysis aimed to assist in strategic planning and resource allocation, providing valuable insights for sustainable energy management.
In summary, my internship role as a data analyst involved a multifaceted approach, including in-depth analysis of energy consumption, anomaly detection, predictive modeling, and Network management. Through these efforts, I contributed to a better understanding of energy dynamics at the IIT Madras Research Park and the companies working there, enabling the company to make informed decisions for sustainable energy practices and overall operational efficiency.

Artificial Neural NetworksPython (Programming Language)Machine Learning