Anjana Haridas
@anjanaharidas1
I build scalable GenAI platforms, agentic workflows, and real-time backend systems.
What I'm looking for
At JP Morgan Chase, I build agentic AI workflows with Google ADK and Claude on AWS Bedrock, reducing manual campaign-review effort by 40%. I’ve also developed RAG retrieval using OpenSearch, embeddings, semantic search, and PostgreSQL-backed agent memory for persistent multi-turn context.
As a founding engineer for a campaign platform serving 800+ daily active users, I’ve built React and TypeScript microfrontends, FastAPI services, Redis caching that reduced API latency by 35%, and Kafka/SSE real-time notifications. I enjoy making architecture tradeoffs across latency, reliability, cost, scalability, and maintainability while mentoring engineers and improving frontend and backend test coverage.
Experience
Work history, roles, and key accomplishments
Designed agentic AI workflows using Google ADK and Claude via AWS Bedrock, reducing manual review effort by 40%. Built sub-agent architectures and a RAG-based retrieval layer, and developed React microfrontends for a campaign platform.
Education
Degrees, certifications, and relevant coursework
VIT Bhopal University
Bachelor of Technology, Computer Science and Engineering
2019 - 2023
Grade: 8.97
Pursued a Bachelor of Technology in Computer Science and Engineering, graduating with a GPA of 8.97.
Availability
Location
Authorized to work in
Job categories
Skills
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