Vishwa Kalyanaraman

Senior Software Engineer

Bangalore, IN.

Work

Reltio

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Senior Software Engineer

Bangalore, KA, India

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Summary

Currently leading initiatives in Master Data Management (MDM) within the data management vertical, focusing on building robust and scalable data solutions.

Highlights

Enhanced data quality and integration processes within the MDM platform, contributing to improved data accuracy and consistency.

Contributed to the development of high-performance data processing pipelines, optimizing throughput and reducing latency.

Collaborated with cross-functional teams to deliver critical data management features, ensuring alignment with product roadmap and business objectives.

Striim

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Software Engineer

Bangalore, KA, India

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Summary

Developed and optimized cloud-native infrastructure, distributed systems, and security solutions for a real-time data streaming platform.

Highlights

Overhauled Kubernetes persistent volume resizing code, reducing complexity by 70% and improving maintainability across GCP, Azure, and AWS using native Golang Kubernetes APIs.

Architected and implemented REST APIs for version-controlled patch application on Striim SaaS, collaborating with cross-functional teams to reduce delivery time from weeks to days.

Designed and implemented an internal Identity Access Management (IAM) system, ensuring federated permissions and bolstering security through double-encryption strategies.

Designed and deployed a high-throughput notification microservice in Golang, integrating SQL queries and leveraging Kubernetes orchestration via Helm.

Samsung Research Institute Bangalore

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Software Engineer Intern

Bangalore, KA, India

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Summary

Contributed to the development of advanced machine learning techniques for an AutoML platform, focusing on model optimization and data encoding.

Highlights

Developed and integrated, from scratch, stacking ensembles to enhance the current AutoML platform's predictive capabilities.

Co-authored a research paper on automated hyperparameter optimization techniques, leveraging Reinforcement Learning and Bayesian Optimization.

Wrote Python code to implement high-cardinality encoding techniques, including Gamma-Poisson and MinHash Encoding.

Education

Manipal Institute of Technology

Manipal, Karnataka, India
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B.Tech Computer Science and Engineering Grade: 8.10/10.00 CGPA

Courses

Machine Learning

Artificial Intelligence

Natural Language Processing

Social Network Analysis

Languages

English

Skills

Programming Languages

Golang, Python, C, SQL.

Technologies & Frameworks

Kubernetes, Docker, OpenTelemetry, Bitbucket, Pandas, Scikit-Learn, Uber-Cadence, AWS, GCP, Azure, Gin-Gonic, Git, Fluentd, REST APIs, Helm, Logz.io, Master Data Management (MDM).

Data Management & ML

AutoML, Hyperparameter Optimization, Reinforcement Learning, Bayesian Optimization, Categorical Encoding, Stack Ensembles, Convolutional Neural Networks (CNN).

Distributed Systems & Cloud

Microservices, Cloud Service Providers (CSPs), Unified Logging and Monitoring, Fault-Tolerant Applications, Identity Access Management (IAM).

Projects

ReImage

Summary

Developed a parallel algorithm to remove image noise.

Malaria Detector

Summary

Created a Convolutional Neural Network to classify blood cells.