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Gomathy Selvamuthiah
Junior Data/AI Engineer specializing in MLOps, real-time pipelines, and LLM applications
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About
Built an LLM-driven MLOps agent at SBD Technologies that automated an EV-charging prediction workflow end-to-end, integrating with real-time Kafka/FastAPI systems supporting 120K+ chargers at 99.99% event delivery. Addressed frequent schema drift by implementing SQLAlchemy/Flyway validation (60% reduction in drift issues) and deployed as Kubernetes microservices with GitHub Actions CI/CD; also has Airflow-based ingestion/crawling experience into Snowflake and stakeholder-facing delivery via a Fleetcharge PWA.
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Key Strengths
- Built and deployed an LLM-driven MLOps agent to production for EV-charging forecasting
- Integrated LLM/MLOps workflows with real-time Kafka + FastAPI infrastructure supporting 120K+ chargers and 99.99% event delivery
- Mitigated schema drift via SQLAlchemy + Flyway validation layer, reducing drift issues by 60%
- Production deployment via containerized microservices on Kubernetes with GitHub Actions CI/CD
- Orchestrated complex pipelines using Airflow (crawlers + PDF structuring into Snowflake) and LangChain/LangGraph (multi-step LLM workflows)
- Pragmatic model/retrieval selection based on latency/cost/complexity; experience with vector DBs (Milvus/Chroma) and hybrid retrieval
- Effective collaboration with non-technical product/ops stakeholders to translate metrics needs into ML features and app-ready APIs
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