Vikramjeet Singh

Led the Vikings team of 10+ developers, achieving 20+ project milestones and enhancing code quality by 25% through agile methodologies. Spearheaded the engineering of a scalable graph visualization framework with JanusGraph, efficiently managing 10+ million nodes and 1+ billion edges. Improved API performance by a factor of 10x using various indexing techniques and code optimizations.

Optimized complex Spark jobs for model prediction, achieving a 500% performance improvement and saving over $5000 per month in S3 costs by resolving Spark partitioning issues. Orchestrated the seamless transition of Python REST APIs to AWS AppSync, cutting infrastructure costs by 25% and boosting API performance. Developed an application monitoring framework using CloudWatch, New Relic, Humio, and

Designed and executed large-scale data pipelines, processing over 10 TB of logs daily and boosting processing efficiency by 70%. Upgraded the entire Python codebase from version 2.7 to 3.7, ensuring compatibility with existing ML models. Managed the migration from Spark 2.x to 3.x, enhancing processing performance by 35% and reducing job execution time by 20%.

Reduced React application load time from ~50 seconds to ~1 second through optimization techniques. Integrated Google Safe Browsing into the ML pipeline, enhancing malicious domain detection accuracy by 20% and minimizing false positives by 80%. Converted a multi-page application to a single-page application, decreasing page load times by 40% and improving user engagement by 30%.

Studied Computer Science and Engineering at Bharati Vidyapeeth's College of Engineering (GGSIPU) from 2011 to 2015. Gained foundational knowledge and practical skills in various aspects of computer science.

Completed Senior Secondary education at Delhi Public School, Noida. Focused on core subjects to prepare for higher education.