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Sragvi Vadali
Junior Software Engineer specializing in AI/ML and real-time systems
Engineer2 years experienceJuniorVideo GamesArtificial IntelligenceMachine Learning
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About
Backend/AI engineer who built a real-time vector database system for high-frequency financial data using Kafka/Flink on Kubernetes, achieving sub-100ms similarity search at 10k+ concurrent load and resolving tricky duplication issues with idempotency/versioning. Also shipped an end-to-end LLM-based travel itinerary feature (profiling + prompt workflows + APIs) with a focus on quality consistency and low latency.
Experience
EngineerUSC Game "All Good Things"
Research AssistantUniversity of California, Los Angeles (UCLA) NESL Lab
Fullstack InternHyperlink
Education
University of Southern Californiamaster, Computer Science (2027)
University of California, Los Angelesbachelor, Computer Science & Linguistics (2025)
Key Strengths
- Built real-time vector-search backend with Kafka/Flink and Kubernetes
- Scaled system to 10,000+ concurrent inputs with sub-100ms query latency
- Debugged and fixed large-scale data duplication via idempotency, deterministic event IDs, versioning, and checkpoint alignment
- Shipped LLM-powered travel itinerary feature end-to-end (profiling, prompts, backend, deployment) with <3s latency target
- Strong production Python practices: DI, typing (pyright), async timeouts, dependency pinning, unit tests
- Improved PostgreSQL query performance (cut query times in half)
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