About
Highly skilled Software Engineer and Data Scientist with a proven track record in developing scalable microservices, real-time data processing pipelines, and advanced machine learning solutions. Expert in Java, Python, Spring Boot, and deep learning frameworks, consistently delivering robust systems that enhance operational efficiency, reduce costs, and drive significant business impact through innovative technical solutions.
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Work
Capgemini
Software Engineer-1
MandelBulb Technologies
Data Scientist
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Education
Technology
Amity University
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Certificates
AWS Certified Cloud Practitioner
Amazon Web Services (AWS)
Microsoft AI Classroom Series
Microsoft
Team Management for the Six Sigma Belt
Six Sigma
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Skills
Languages
Java, Python, SQL, XML
Frameworks and Tools
Spring Boot, Hibernate, Microservices, MongoDB, Apache Kafka, Neo4j, PostgreSQL, Gradle, JPA, REST APIs, AI Agent Development, YOLOv8, OpenCV
Developer Tools
Git/GitHub, Linux, IntelliJ IDEA, Eclipse, Postman, Grafana, Jira, VS-Code, Nexus, OCP, Datadog, ELK Stack (Elasticsearch, Logstash, Kibana), Jenkins, OpenShift, Azure Data Factory, MsSql
Core Concepts
Data Structures and Algorithms, Database Management Systems, Object-Oriented Programming, Software Development Lifecycle, Agile Methodologies, Machine Learning, Deep Learning, Image Processing, API Gateway
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Projects
Sonar Data Classification
Designed and implemented a machine learning pipeline in Python to classify sonar signals, optimizing detection capabilities and workflow.
Graph Database Modeling
Built a graph-based data model using Neo4j to analyze complex disease-linked relationships and simulate real-world scenarios.
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