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Piyush Modi
Intern Software Engineer specializing in backend systems, cloud infrastructure, and ML/LLM tooling
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About
Infrastructure-leaning engineer who has built real-time ML systems end-to-end: a Jetson-deployed adaptive Whisper ASR service (Flask + WebSockets, React/TS UI) and a high-throughput Postgres schema for live transcription. Also delivered customer-facing AI billing/OCR improvements for a dental startup (Dentite), boosting OCR performance by 38%, and has experience instrumenting open-source ML deployment stacks to add infrastructure visibility.
Experience
Education
Key Strengths
- Built prototype for ML infrastructure visibility by instrumenting open-source deployment tooling without modifying upstream packages
- Infrastructure-focused backend engineering (60%) across distributed microservices (Go, gRPC, Kubernetes, Kafka) improving reliability/performance
- End-to-end AI product work: designed insurance data extraction inference pipeline and prompt iterations; improved OCR accuracy by 38%
- Designed and built production-style Python backend for real-time ASR on edge hardware (NVIDIA Jetson) with REST + WebSocket streaming
- Applied performance optimizations for constrained devices (BitsandBytes quantization, batch sizing, reused model instances)
- Designed high-throughput PostgreSQL schema with partitioning/indexing achieving sub-50ms query latency for live transcripts at scale
- Deployed and operated AWS workloads (EC2/S3/Lambda) with CI/CD (GitHub), monitoring (CloudWatch), and auto-scaling
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