India
Lead Software Engineer specializing in distributed systems, high-performance Java architecture, and generative AI integrations. I approach complex engineering challenges from first principles, focusing on scalable schema design and resolving deep-rooted performance bottlenecks to drive measurable impact š Quick Highlights: Enterprise AI & Scale: Architected AI platforms and implemented vector search (RAG) for 50+ enterprise clients at MongoDB. Distributed Data Systems: Engineered high-throughput MongoDB sharded clusters and built low-latency REST APIs to process massive 3 billion+ row datasets. Core Engineering: Resolved complex JVM memory leaks and built highly concurrent, fault-tolerant microservices across multiple enterprise environments. Tech Stack: Java (Spring Boot), MongoDB, SQL, Vector Search, AI/LLMs, and Cloud (AWS, Azure, GCP). Community Contribution: Creator of the GitHub Coding Matrix YouTube channel, producing deep-dive content on System Design, AI, and the fundamental physics/math behind software engineering.
ā¢ Architected AI-native data platforms for over 50+ enterprise clients, enhancing data retrieval capabilities. ā¢ Engineered high-throughput, sharded MongoDB clusters, ensuring robust performance in distributed environments. ā¢ Proactively resolved system bottlenecks, significantly reducing latency through advanced performance tuning. ā¢ Executed secure migrations to MongoDB Enterprise, implementing stringent security protocols for high availability.
ā¢ Architected highly concurrent Java backend systems and secure microservices for major enterprise clients like DataMi (Airtel TV) and Cisco. ā¢ Led backend environment migrations to ensure high availability and resolved JVM memory leaks, improving system latency. ā¢ Designed secure Java REST APIs for Cisco NCS1K/NCS2K devices, enhancing data export functionalities. ā¢ Championed agile engineering practices, fostering a culture of rigorous code reviews and comprehensive documentation.
ā¢ Engineered a high-performance Java (JAX-RS) OData REST API layer for querying a 3 billion+ row dataset. ā¢ Optimized systems by addressing performance bottlenecks and implementing structural design patterns. ā¢ Developed R package wrappers for real-time data analysis and business intelligence integration. ā¢ Led the full software development lifecycle for multiple data-intensive projects, ensuring comprehensive documentation.
ā¢ Engineered a custom JavaFX desktop IDE with real-time telemetry and metadata tracking. ā¢ Captured granular developer metrics to assess code quality and user performance effectively. ā¢ Architected optimized solutions for over 200 complex algorithmic challenges focusing on advanced Data Structures and Graph Theory. ā¢ Developed dynamic code visualization tools to enhance developer comprehension and streamline debugging processes.
ā¢ Engineered robust automated testing scripts and frameworks using Java (J2EE) and Python, enhancing test coverage. ā¢ Debugged and optimized complex SQL queries, ensuring data accuracy and resolving discrepancies. ā¢ Transitioned legacy manual processes into streamlined automation pipelines, collaborating with development teams.