Shiva Teja

About Shiva Teja

I build systems that scale — in performance, reliability, and impact.My work focuses on designing high-throughput APIs, distributed architectures, and production-grade AI integrations that move beyond prototypes into real-world deployment. I enjoy solving performance bottlenecks, reducing latency, and building infrastructure that supports rapid iteration without sacrificing stability.Across manufacturing and edtech platforms, I’ve led initiatives that improved margins, reduced system latency, and enabled daily production deployments. From event-driven architectures using Kafka and SQS to microfrontends and cloud-native backend services, I approach engineering with a systems mindset — optimizing not just code, but the entire lifecycle from development to observability.I’m particularly interested in intelligent systems and AI-enabled products. Whether building multi-agent retrieval pipelines, integrating LLM workflows, or designing scalable microservices, I focus on clean abstractions, measurable performance gains, and maintainable production architecture.Currently pursuing my MS in Computer Software Engineering at Northeastern University, I’m driven by opportunities where backend systems, cloud infrastructure, and AI intersect to power meaningful user experiences.I’m always open to collaborating on ambitious, technically challenging problems.

Experience

1. Software Engineer

   Rebecca Everlene Trust Company

   Aug 2025 — Present · Chicago, IL, US

   Developed and deployed a RAG chatbot using LangChain and Pinecone, reducing admin tickets by 45%. • Architected an MCP agent with Claude and 6 tool servers, minimizing scheduling overhead by 70%. • Built an AI recommendation engine with OpenAI embeddings and FAISS, increasing engagement by 40%.

Education

• Northeastern University

  Master's degree, Computer Software Engineering

• Visvesvaraya National Institute of Technology

  Bachelor of Technology - BTech

  2016 — 2020