• 🎯 AI Product Manager with 9+ years across product strategy, data platforms, and applied AI
• 🛠️ I don't just spec products — I build them: production RAG systems, agentic workflows, ML pipelines
• 🧠 Shipped LLM applications end-to-end: retrieval architecture → evaluation → deployment → monitoring
• ⚙️ Bridging Product Strategy + Distributed Systems + AI Engineering
• ☁️ Hands-on across AWS, Azure, GCP — from architecture decisions to working code

Keywords that describe my work: AI Product Management · Generative AI · LLM Applications · Agentic AI · Multi-Agent Systems · Retrieval-Augmented Generation (RAG) · Vector Search · AI Evaluation · MLOps · Data Engineering · Data Products · Python · FastAPI · LangChain

Most PMs write requirements and hand off. I define the product strategy and work through the architecture with engineering — because I've been the engineer.

As a PM, I own: product vision, discovery, roadmaps, prioritization, experimentation strategy, go-to-market, and the metrics that prove it worked.

As a builder, I ship: RAG & LLM systems, agentic workflows, data pipelines, APIs, and the observability to keep them running in production.

• Production-grade RAG & LLM applications (hybrid retrieval, evaluation pipelines, guardrails)
• Agentic AI systems — multi-agent orchestration, tool-calling, MCP-based workflows
• AI-powered data products — batch + streaming pipelines, feature engineering, analytics
• Distributed data pipelines & real-time analytics systems
• Developer-facing APIs & platform tooling
• Causal ML for decision systems (policy-level impact)

LLMs RAG Agentic AI Multi-Agent Orchestration LangChain Causal ML (EconML) Evaluation Pipelines pgvector

Apache Spark Apache Kafka ETL / ELT Feature Pipelines Data Modeling Batch + Streaming Pipelines

GCP (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer) — GCP Professional Data Engineer, in progress AWS (S3, EKS, SageMaker, Bedrock) Azure AI (Azure ML, AI Studio)

Docker Kubernetes MLflow Terraform CI/CD (GitHub Actions)

Python FastAPI SQL REST APIs Redis PostgreSQL

🔗 https://github.com/SyedTahaAbbas/causal-ml-for-electricity-access

• End-to-end causal ML pipeline — data ingestion to decision-ready insights
• Estimated treatment effects using EconML, validated via robustness & sensitivity analysis
• Turning model outputs into allocation decisions policymakers can act on

• An AI-native multimodal retrieval platform — hybrid embeddings, agentic workflows, sub-second semantic search at scale (FastAPI · PostgreSQL · pgvector · Redis · Ollama)
• Exploring advanced RAG architectures, evaluation systems, and LLM production patterns
• Deepening GCP data engineering — BigQuery, Dataflow, and streaming pipeline patterns

AI Product Manager · Senior Product Manager · Founding PM roles — startups and scale-ups across Europe (Berlin · Amsterdam · Munich · San Francisco · Boston · Singapore · Remote).

Especially interested in early-stage teams building agentic AI, LLM products, or AI-native platforms.