Pooja
Tumma
Building production-grade AI systems, agentic workflows, and scalable backend infrastructure. From multi-agent orchestration to distributed RAG pipelines — I ship intelligent systems that work reliably at scale.
Featured Projects
Production-grade AI systems, not hobby projects. Each one solves a real problem with measurable outcomes.
A parallel multi-agent orchestration system that runs specialized AI agents concurrently to deliver comprehensive intelligence reports in real time. Built with LangGraph StateGraph, distributed Redis caching, and Supabase-backed persistence — engineered for production reliability.
A Retrieval-Augmented Generation pipeline that dramatically reduces hallucinations through semantic chunk retrieval, reranking, and context-aware prompt engineering — with an interactive Gradio interface.
An NLP pipeline that processes 100+ news articles per minute using TextRank extractive summarization and VADER sentiment analysis. Published research, recognized in Top 1% at institute showcase.
Experience
2 years designing, shipping, and owning production systems — from AI agent workflows to distributed enterprise integrations.
AI & Software Engineer
Architected and deployed production Salesforce Agentforce AI agent workflows for enterprise CRM clients — translating ambiguous requirements into shipped AI features reducing manual process overhead by 40%.
Sole technical owner of 6 enterprise integration deployments using Node.js + AWS Lambda — processing high-volume async messaging workloads with fault-tolerant, zero-downtime operations.
Designed Apex Queueable/Batch async frameworks and event-driven pipelines eliminating 40% manual operational overhead — idempotent, resilient under partial failure.
Built payment and CTI integrations using RESTful APIs with strong encryption, retry mechanisms, and circuit-breaker patterns — stable under ambiguous edge cases and network partitions.
Contributed to enterprise document generation SaaS — shipped backend modules for distributed data processing serving multi-tenant enterprise clients at scale.
Tech Stack
A systems-first stack built around production AI: agent orchestration, vector retrieval, async backends, and cloud infrastructure.
Architecture
The systems I design go beyond LLM calls. Parallel execution, fault tolerance, distributed state — production patterns from day one.
LangGraph StateGraph with parallel ThreadPoolExecutor dispatch across 3 specialized agents
Achievements
Credentials, recognitions, and milestones across engineering, AI research, and leadership.
Agentforce Specialist
Data Cloud Consultant
Getting Started with Deep Learning
Introduction to Generative AI
AI-First Product Management
Outstanding Performance Award
Research Publication
B.E. AI/ML Honors · CGPA 9.65
Let's build something
intelligent together.
Open to AI Engineering, Applied AI, and GenAI opportunities.
Based in Mumbai · Open to remote