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Sarthak Gupta
Mid-level AI/ML Engineer specializing in LLMs, NLP, and real-time AI systems
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About
Backend engineer who built a real-time pipeline for recording, transcribing, and analyzing audio from 400+ news radio stations, scaling Whisper on an HPC cluster with 7 H100 GPUs. Has strong performance optimization experience (30% latency reduction via SQL/query design; 50% DB call reduction via Redis caching) and has implemented region-based data isolation and PII protections in a regulated environment (JP Morgan Chase).
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Key Strengths
- Built a 3-service architecture to record, transcribe, and analyze 400+ radio stations in near real-time
- Scaled Whisper transcription on an HPC cluster using 7 NVIDIA H100 GPUs to meet real-time throughput needs
- Architected monolith-to-services split to reduce wasted compute and improve scalability
- Reduced service latency by ~30% via data model design and nested SQL queries
- Implemented Redis read-through caching to cut database calls by ~50% in a high-throughput Java service
- Designed region-isolated database deployments (US/EMEA/Swiss) for regulatory and privacy requirements
- Implemented PII protections via log masking and encrypted storage for strict privacy regions
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