Mohammedparvez S.

With 12+ years of experience in data platforms, real-time streaming, cloud architecture, and AI/LLM systems, I help companies modernize legacy systems and build scalable, production-grade platforms that handle high throughput, low latency, and strict reliability requirements. I specialize in designing and delivering end-to-end architectures across industries including fintech, healthcare, cybersecurity, IoT logistics, and utilities—covering everything from ingestion pipelines and stream processing to knowledge graph reasoning and agentic AI assistance inside products. Core Expertise: Real-Time Data Streaming & Processing ● Apache Kafka / Confluent Kafka, Kafka Streams, Kafka Connect ● Apache Flink, Spark, AWS Glue, Kinesis ● Event-driven microservices, schema governance, partitioning, exactly-once semantics Cloud & Platform Architecture ● AWS and Oracle Cloud Infrastructure (OCI) ● Kubernetes, Terraform, Helm, CI/CD automation ● High-throughput multi-tenant architectures, DR failover, observability Databases & Storage ● Cassandra, DynamoDB, Redis ● Snowflake, S3 data lakes, Redshift, Athena, Iceberg ● Performance tuning, cost optimization, retention strategies AI/LLM, RAG & Knowledge Graph Systems ● LLM-based reasoning, intent classification, orchestration and routing ● GraphRAG + hybrid retrieval (dense/sparse fusion) ● Neo4j-based enterprise knowledge graphs ● Evaluation frameworks (ground truth, component scoring, end-to-end quality) ● Explainability, confidence scoring, auditability and governance Selected Project Experience ● Built AI-driven contextual product assistance using LLMs + GraphRAG, enabling accurate in-product answers and proactive user support inside complex workflows. ● Architected an enterprise-scale Knowledge Graph platform using Neo4j + AWS Step Functions/Lambda, ingesting PDFs/web/JSON, chunking/embedding content, deduplicating entities, and applying confidence scoring + governance trails. ● Designed and modernized cloud-native healthcare printing/fax ecosystems on OCI using Kafka (OCI Streaming), Kubernetes, and tenant-aware orchestration supporting 5K+/sec throughput with 99.99% SLA. ● Delivered cybersecurity anomaly detection and observability pipelines using OpenSearch + Cassandra + Kafka, processing high-volume telemetry and improving detection accuracy while reducing false positives. ● Built IoT fleet telematics and event ingestion systems integrating edge devices with AWS IoT Core + MQTT + Kafka/Flink, supporting large-scale tracking, monitoring, and alerting. ● Migrated legacy mainframe systems into Kafka-centered event-driven architectures using Java/.NET microservices, enabling real-time operational + analytical integration with Snowflake. What You Get When You Work With Me ● Senior-level architecture ownership (not just coding) ● Clear design documentation + implementation-ready plans ● Production-focused delivery: reliability, scalability, cost, observability ● Strong execution across multiple domains with clean communication If you're building a streaming platform, migrating legacy systems, scaling Kafka/Flink pipelines, or implementing LLM/RAG/GraphRAG for enterprise search and automation or anything else I can help you architect and ship it.