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Senior Machine Learning Engineer
Senior AI/ML Engineer at Bloomreach who cut p95 reranking latency from 140 ms to 85 ms.
United StatesSenior Machine Learning Engineer at Bloomreach
Developed product discovery services with Elasticsearch-based retrieval and learning-to-rank models, improving ecommerce search relevance. Built offline evaluation datasets and reduced p95 reranking latency from 140 ms to 85 ms.
ElasticsearchLearning To RankLightGBMPyTorchOpenCVRAGNDCG@KMRRInterleavingPythonAWS
Developed ranking features and recommendation models for ecommerce search, addressing sparse behavioral data and cold-start scenarios. Reduced p95 recommendation response time by 22% through profiling and caching.
PythonNodeJSRecommendation SystemsCollaborative FilteringFeature EngineeringCachingProfilingElasticsearch
Developed Python and SQL pipelines to normalize product data for catalog search, reducing indexing failures. Experimented with text similarity and classification models for category suggestion and duplicate detection.
PythonSQLElasticsearchscikit learnData PipelinesSemantic SimilarityClassification
Maintained Python and SQL jobs for ecommerce shipment data, adding deduplication and timestamp checks. Supported feature preparation and evaluation for shipment-status prediction experiments.
PythonSQLscikit learnData PipelinesDeduplicationLogging
Bachelor of Science in Computer Science with a focus on Software Engineering, completed in December 2017.
Bachelor of Science in Computer Science with a focus on Software Engineering, completed in December 2017.
Profile sourced from Himalayas.