SAMEENA K

Hybrid Search Platforms

• Led design and implementation of a two-layer Hybrid Search Platform powering intelligent search across all Freshworks products.
• Developed an ingestion pipeline using unstructured for partitioning, BAAI/bge-m3 for chunking, and custom embedding models (e.g., SimCSE, E5) for vectorization, with indexing on OpenSearch.
• Built a querying layer with hybrid lexical-semantic search and re-ranking strategies, significantly improving search relevance.
• Tuned retrieval performance through relevance evaluations, user feedback, and precision/recall optimization.
• Enabled integration of vector search in customer-facing modules, improving self-service success rate and resolution time.

• Led platform initiatives for the Customer Data Platform (CDP) to unify customer data across multiple Freshworks products, significantly enhancing customer experience consistency.
• Architected and developed scalable storage solutions using Cassandra, SQL, and AWS OpenSearch, improving query latencies and search performance by 30%.
• Designed and implemented Kafka-based real-time event distribution systems across sub-products, ensuring high data integrity and scalability.
• Spearheaded live database migration from DynamoDB to Cassandra Serverless using ZDM/CDM tools with zero downtime, enhancing system scalability and operational cost efficiency.
• Built and managed Kubernetes Custom Resource Definitions (CRDs) for dynamic and efficient routing of customer data, increasing routing reliability.
• Deployed and managed AWS EKS clusters, implementing real-time monitoring, live metrics, and alerting systems, reducing downtime incidents by 20%.
• Partnered with cross-functional teams to ensure platform services are robust, scalable, and seamlessly integrated across all Freshworks products.
• Mentored junior engineers in best practices for platform engineering, distributed systems, and cloud-native application design.

• Published and received data from sensors, ensuring seamless communication and reliable operation of critical medical devices using AWS IoT Core.
• Automated cloud applications for biomedical instruments and life-saving IV devices, using AWS IoT Core.
• Proficient in Node.js, Jasmine, Protractor, REST API, Ruby, and Erlang.
• Committed to delivering high-quality, reliable solutions that enhance the functionality and efficiency of life-saving technologies.

• Developed a workflow for the ETL of old data from legacy systems to the cloud using Informatica.
• Validated the accuracy and completeness of data migration to ensure successful transitions.
• Developed automation tools for cloud applications using Selenium and Java.
• Built and implemented CI/CD pipelines to execute automated tests dynamically and on a scheduled basis.
• Ensured high reliability and efficiency of cloud applications through automated testing.