Pranav Sagar

Software Engineer

Bengaluru, Karnataka, India2 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Silver Medalist in B.Tech Computer Science.
Developed innovative solutions like a recommendation engine.
Active contributor to open-source projects.

Stackforce AI infers this person is a Software Engineer with expertise in Machine Learning and Back-End Development.

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Skills

Core Skills

Java DevelopmentBack-end Web DevelopmentMachine LearningData Science

Other Skills

Agile MethodologiesAlgorithmsAmazon Web Services (AWS)Apache KafkaArtificial Neural NetworksCC++CommunicationContent ModerationData AnalysisData StructuresDatabasesDockerEDAExploratory Data Analysis (EDA)

About

- Experienced Software Engineer at Glance, specializing in Java, JavaScript, and Python. - Developed innovative solutions like a recommendation engine and a government scholarship transfer system. - Silver Medalist in B.Tech Computer Science from Rajasthan Technical University. - Skilled in diverse technologies including Machine Learning, NLP, and Data Science. - Active contributor to open-source projects and engaged in continuous learning and professional development. - Recognized in national-level hackathons and coding competitions.

Experience

Glance

2 roles

SDE 1

Nov 2024 – Present · 1 yr 4 mos · Bengaluru, Karnataka, India

SDE

Sep 2023 – Nov 2024 · 1 yr 2 mos · Bengaluru, Karnataka, India

Worked on migration of auth. service from the legacy system, to the modernized service, reducing sign-in times and enhancing overall efficiency. Documented the setup and procedures service.
Automated secret-key management for clusters of different service, streamlining config file creation after pod restarts.
Optimized video feed memory management on Buzz (our short video sharing platform), reducing client-side load and resolving crashes.
Reduced vulnerabilities across multiple codebases, enabling ISO certification. Introduced a base Docker image for replication.
Developed a Content Moderation pipeline for Roposo (Video streaming with e-commerce app) for moderator, ensuring quality content publication and user engagement.
Automated backend support reports, enhancing report accessibility and sharing processes.
Improved UI on the Moderation page frontend, decreasing on-call reports and providing better user guidance during crashes.

KubernetesApache KafkaJavaPythonDockerContent Moderation+3

Celebal technologies

Machine Learning Intern

Jun 2022 – Aug 2022 · 2 mos · Jaipur, India

Achieved testing score of 99.1% while delivering a Regression Model to help the client understand Carbon Dioxide Emission.
Assisted in predicting customer churn using logistic regression initially, and later trained an Artificial Neural Network (ANN) model to enhance the efficiency of the churn prediction model, achieving an accuracy of 87.5%.
Performed EDA, Feature Engineering, and Clustering to analyze the target-specific market and improve customer satisfaction.
Developed a content-based recommendation system for movies by analyzing user behavior and historical data.

Machine LearningRegression ModelArtificial Neural NetworksExploratory Data Analysis (EDA)Data Science