Open to opportunities

Pradeep Kumar

@pradeepkumar17

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Senior Software Engineer specializing in Java, Spring Boot & Azure.

India

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What I'm looking for

I am seeking a challenging role in a dynamic environment that fosters innovation and growth, where I can leverage my skills in software engineering and contribute to impactful projects.

As a Senior Software Engineer with a strong focus on Java, Spring Boot, and Azure, I have successfully led numerous projects that have significantly improved operational efficiency and product delivery. My experience at Optum has allowed me to spearhead initiatives that reached over 1.5 million members, showcasing my ability to manage high-impact campaigns and complex technical challenges.

Throughout my career, I have demonstrated a commitment to innovation and excellence. I developed a secure OAuth token generator that serves multiple applications, ensuring rapid access to critical resources. My work on optimizing data ingestion pipelines has resulted in a remarkable 300% increase in throughput, reflecting my dedication to leveraging technology for enhanced performance. I am passionate about mentoring and empowering my peers, fostering a collaborative environment that drives success.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Engineer, MarTech

Current

Optum (UnitedHealth Group)

Jun 2024 - Present (1 year 2 months)

Led the launch of 9 campaigns, reaching over 1.5 million members, by building event-driven data pipelines with serverless architecture. Implemented a DLQ-based retry pattern across 15+ microservices, publishing non-retryable failures for RCA and reconciliation.

Java Spring Boot Azure Kafka Microservices Redis Kubernetes Docker Git Linux

Software Engineer, Consumer Engagement Platform

Optum (UnitedHealth Group)

Jun 2022 - Jun 2024 (2 years)

Led an agile scrum team, taking ownership of 20+ microservices and ensuring smooth project delivery without delays. Rearchitected the ingestion pipeline from REST to Kafka pub-sub, improving throughput by 300% and reducing ingestion time for 2.5 billion+ records by 95%.

Java Kafka Microservices GitHub SQL BASH Agile Scrum REST

Junior Machine Learning Engineer

Omdena

Jul 2021 - Sep 2021 (2 months)

Participated in a collaborative project to explore exercise recommendation models for Nestre’s Android app. Supported coordination, maintained team roster, and contributed to discussions during research syncs.

Machine Learning Android Research Collaboration Data Analysis

Research Intern

Indian Institute of Technology, Patna

May 2021 - Aug 2021 (3 months)

Implemented and fine-tuned 1D-Convolutional Neural Networks (1D-CNNs) using Python, TensorFlow, and MATLAB. Achieved 99% accuracy in detecting ADHD from EEG signals.

Python TensorFlow Matlab Convolutional Neural Networks EEG Data Analysis

Education

Degrees, certifications, and relevant coursework

Shiv Nadar University

Minor, Computer Science Engineering

2019 - 2022

Pursued a minor in Computer Science Engineering, complementing the main degree with foundational knowledge in computer science. This included studies in programming, data structures, and algorithms.

Shiv Nadar University

B.Tech, Electronics and Communications Engineering

2018 - 2022

Completed a Bachelor of Technology in Electronics and Communications Engineering. The curriculum covered core concepts in electronics, communication systems, and related engineering principles.