Ankita Singh

Project: Hive Platform Modernization. Contributed to Hive platform modernization, integrating 10+ enterprise products into a unified microservices ecosystem, improving cross-platform interoperability and data integration scalability. Built modular Node.js microservices enabling cross-platform integration across multiple enterprise platforms, improving service interoperability and reducing API response latency by ~35%. Streamlined real-time streaming pipelines using Kafka, Flink, Apache NiFi and other tools, enabling low-latency ingestion of telemetry data and processing 100+ GB/day log data across distributed systems. Designed telemetry ingestion pipelines supporting 5000+ network devices using SNMP and gNMI telemetry streams. Optimized database queries and indexing strategies for improving data retrieval performance and reducing query latency by ~30%.

Project: Data Collection & Analytics Platform. Worked on a project responsible for developing, and maintaining a scalable data collection system and providing Observability, Optimization and Management. Engineered a scalable data collection framework using Flask and Django, integrating 8+ heterogeneous data sources and reducing reporting latency for analytics workloads. Built end-to-end ML data pipelines integrating feature stores, data lakes, and automated model monitoring, improving model reliability and production observability. Containerized services using Docker and automated build, test, and deployment pipelines with CI/CD, reducing release cycles by ~25%.

Developed technical questions across core CS subjects (DSA, DBMS, OS, CN) using LaTeX and SQL-based test frameworks. Automated validation of solutions and test cases with Python scripting. Resolved technical issues in content delivery platforms, enhancing accessibility and user experience.