Career Highlight
A summary of my key contributions and impact across backend systems, AI, and cloud-based applications.
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Improved system performance and reduced latency by up to 25% in high-traffic applications.
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Built scalable backend systems using Python, Flask, Java, Spring Boot, and Node.js
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Designed event-driven architectures using Kafka, improving processing efficiency by 25%.
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Developed an agentic AI system to automate contract discovery using Python and NLP.
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Implemented cloud-based solutions and CI/CD pipelines using Docker and cloud platforms.
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Optimized data pipelines and databases (PostgreSQL, MySQL, Cassandra) to improve reliability by 30%.

Software Engineer | Python, Java, C#, Node.js | Cloud & AI
Experienced in building distributed systems, microservices, and AI-driven applications with a focus on performance, scalability, and reliability.
Vision
My vision is to design and lead the development of high-performance, scalable systems that combine Artificial Intelligence, distributed computing, and cloud technologies. I aim to push the boundaries of modern software engineering by building systems that are not only efficient and reliable but also intelligent and adaptive.
My Story
I am a Software Engineer with over 3 years of experience and a Master’s degree in Computer Science. My expertise spans backend development, distributed systems, and Artificial Intelligence.
I have built scalable systems using Java, Spring Boot, Node.js, and cloud platforms, and developed AI-powered applications using Python. My work focuses on designing reliable, high-performance systems that handle large-scale data and real-world challenges.
Currently, I am developing an agentic AI system that automates the discovery and analysis of government contract opportunities using Python, NLP techniques, and cloud-based architectures.
Mission
My mission is to build intelligent, scalable systems that combine Artificial Intelligence, automation, and distributed computing to solve complex real-world problems and deliver meaningful insights.