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Shubham GoreSG
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Shubham Gore

@shubhamgore1

AI Engineer at Holiday Channel Inc who improved catalog retrieval Recall@5 by 22% with a hybrid RAG pipeline.

United States
Message

At Holiday Channel Inc, I deployed a production RAG service with intent-based query routing, citation-grounded responses, and confidence-gated abstention. I also improved Recall@5 by 22% with a hybrid retrieval pipeline for a 50K+ SKU catalog.

I engineered ETL ingestion pipelines using Auto Loader and distributed PySpark UDFs, maintaining data freshness with sub-1s latency.

At Avaya, I built and owned Node.js and Spring Boot microservices for a CCaaS platform supporting Kafka workloads in a distributed system processing 1M+ messages per day. I also improved service reliability and expanded CI pipelines with tests that raised coverage to 80% on critical modules.

On my CUDA-Accelerated VLM Fine-Tuning & Inference Engine project, I assembled and distributed a multimodal model across T4 GPUs. I authored fused C++ CUDA/Triton kernels and used INT8 quantization to achieve a 3x inference speedup.

Experience

Work history, roles, and key accomplishments

HI
Current

AI Engineer

Holiday Channel Inc

Apr 2026 - Present (6 months)

Deployed a production RAG service with intent-based query routing and citation-grounded responses, driving hallucination rate toward 0%. Improved Recall@5 by 22% with a hybrid retrieval pipeline over a 50K+ SKU catalog and engineered scalable ETL ingestion pipelines using PySpark.

CD

Machine Learning Intern

CDAC

Aug 2023 - Oct 2023 (2 months)

Accelerated training iteration time by 30% by containerizing workflows with Docker and CI/CD. Reduced telecom capacity-planning RMSE by 8% through model selection and hyperparameter optimization on a forecasting service.

AV

Software Development Engineer Intern

Avaya

Jan 2023 - Jun 2023 (5 months)

Built and owned Node.js and Spring Boot microservices for a CCaaS platform, supporting Kafka-based workloads processing 1M+ messages/day. Hardened service reliability and operationalized Datadog dashboards and alerts, expanding CI pipelines to raise coverage to 80%.

Education

Degrees, certifications, and relevant coursework

UC

University of Southern California

Master of Science, Computer Science

2024 - 2025

Pursued a Master of Science in Computer Science with coursework in Machine Learning, NLP, Distributed Systems, and Algorithms.

ST

SRM Institute of Science and Technology

B.Tech, Computer Science and Engineering

2019 - 2023

Earned a B.Tech in Computer Science and Engineering with coursework in AI/ML, Operating Systems, and Computer Architecture.

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