Microsoft, Redmond

• Shell and Services: Working on multiple surfaces in windows

Easely Dunn Productions, San Francisco

• Game Performance Optimization: Optimized game systems in Unity/C#, applying object pooling and microservices to boost performance and increase frame rates by 15%.
• CI/CD Implementation: Streamlined builds with CI/CD workflows via Jenkins and SVN, automating builds and deployments to cut deployment times by 20% and reduce integration errors.
• UI/Backend Leadership: Led UI/backend team responsible for delivering responsive, cross-platform UIs that improved user retention by 11%.
• Analytics Integration: Incorporated real-time analytics to understand player behavior, leveraging data-driven insights to enhance game features and user experience.

Cisco Systems, Bangalore

• Process Automation Tool: Collaborated with cross-functional teams to build "Virtual Engineer," a Python-based automation tool, saving over 4200 engineer hours in a 3-month pilot.
• NLP-Driven Network Issue Resolution: Integrated Natural Language Processing to understand network issues, triggering automated workflows for diagnostics, fixes, and reporting, reducing average resolution time by 45%.
• ML-powered Autoscaling and Analytics: Facilitated development of 3 machine learning tools for autoscaling and predictive analytics, decreasing downtime by 18% and improving network reliability.
• Network Operations Management: Managed monitoring, troubleshooting, and configuration for a 100-country bank network, collaborating with 150+ teams to ensure uninterrupted operations.
• Optimization and UX Enhancements: Revamped Splunk dashboards and internal APIs, reducing log fetch latency by 50% and improving data accessibility for enhanced user experience.

Cisco Systems, Bangalore

• Real-Time Outage Notification Pipeline: Architected a cloud-native SaaS workflow to ingest and process real-time outage data, enabling stakeholders to configure tailored notification preferences globally.
• Log Data Pipeline Optimization: Revamped Splunk dashboards and internal APIs, optimizing the log data ingestion pipeline, reducing fetch latency by 50% and improving data accessibility.
• Scalable Data Ingestion Framework: Developed a scalable data ingestion framework to handle high customer demand, seamlessly integrating diverse data sources and implementing real-time data processing workflows.

Ecotech IT Solutions, Pune

• Educational Toy Analytics and Optimization: Used RFID tags and Python to capture and analyze real-time toy usage data, enabling adaptive gameplay mechanics for cognitive development. Contributed over 1,000 lines of Python code to optimize algorithms and data structures, reducing the toy's cycle time by 11% and improving user experience.
• IoT Sensor Integration and Real-Time Data Processing: Developed a real-time data processing pipeline to analyze IoT sensor inputs from the toy, enabling interactive and personalized gameplay experiences.

University of Southern California

Analysis of Algorithms, Database Systems, Web Technologies, Machine Learning for Data Science, Information Retrieval and Web Search Engines, Advanced Mobile devices and Game consoles, Foundations of Artificial Intelligence.

Vellore Institute of Technology

Data Structures and Algorithms, Problem Solving and Object-oriented programming, Software Engineering, Computer Networks, Software testing, Data mining, Artificial Intelligence, Machine Learning.