Software Engineer
Building scalable backend systems, data platforms, and AI-powered applications at Bridgestone Americas.
Java, Python, TypeScript, C++, SQL
Spring Boot, FastAPI, Flask
PySpark, Spark, Databricks, Structured Streaming
AWS Kinesis, AWS SQS, AWS SNS, Apache Kafka, RabbitMQ
Terraform, Docker, Kubernetes, Jenkins, Argo CD, Nginx, Cloudflare, Reverse Proxies
PostgreSQL, MongoDB, DynamoDB, Redis, Qdrant, Apache Cassandra, Elasticsearch
JUnit 5, Mockito, Dynatrace, AWS CloudWatch, Prometheus, Grafana, PagerDuty
MCP Servers, Agent Orchestration, RAG Pipelines, OpenAI API, Prompt Engineering, LangChain, LangGraph, Vector Embeddings, Semantic Search, Spring AI
Engineered a production-grade progressive delivery platform featuring canary deployments, feature flags, automated health monitoring, traffic shifting, and intelligent rollback for safe, zero-downtime releases.
Built an enterprise-grade LLM platform featuring RAG, AI agents, model routing, vector search, observability, and automated evaluation pipelines, with a focus on scalability, reliability, and production deployment.
I'm Anup — building distributed systems by day and AI projects by night. At Bridgestone Americas, I work on backend platforms and big data infrastructure. In my spare time, I explore LLMs, build AI tools, and occasionally pick up my guitar or a good book.
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