Experience & Impact
Measuring success through system efficiency, performance optimization, and architectural reliability.
Software Development Engineer
Architected an event-driven WebSocket pipeline backed by Redis Pub/Sub, replacing legacy API polling and cutting P99 booking latency from 6s to 0.8s across multiple stateless server instances.
Designed an asynchronous execution model using Kafka to decouple critical paths, cutting workflow latency from 8s to 0.7s. Enforced at-least-once semantics with idempotency keys to prevent duplicate processing.
Engineered a robust state machine utilizing MySQL row-level locking (SELECT FOR UPDATE) and optimistic versioning to enforce lifecycle constraints, eliminating 90% of invalid data states.
Optimized critical database access paths in MySQL via composite indexing and query execution plan restructuring, reducing P95 read latency by 25% across tables exceeding 1M+ rows.
Built an LLM-integrated orchestration service to dynamically route interdependent workflows across 20+ microservices, maintaining deterministic execution guarantees.
Decoupled tightly bound legacy workflows into independent service-layer abstractions, reducing regression issues by 30% and establishing clear domain boundaries.
Implemented comprehensive system observability and failure surfacing mechanisms, reducing Mean Time To Resolution (MTTR) for production incidents by 60%.
Machine Learning Engineer Intern
Designed and deployed production RAG pipelines, integrating LLM inference with vector-based retrieval systems to improve semantic search relevance.
Optimized model inference pipelines through caching and batching strategies, reducing end-to-end response latency by 30%.
Integrated speech processing models into asynchronous backend workflows for automated large-scale audio transcription.