MarTech Solutions Architect | Customer Data Platforms • Data Engineering • AI Engineering | Bengaluru, India

Solutions Architect with more than a decade of work experience across IBM, Wipro, IPG Mediabrands, and others, designing and delivering enterprise-scale customer data, marketing technology, analytics, and AI-enabled solutions. Expertise in Customer Data Platforms (Adobe RT-CDP, Braze, mParticle, Segment CDP), event-driven architectures, cloud data platforms, customer journey orchestration, identity resolution, real-time activation, and data engineering on Google Cloud and Azure.

I build open-source Python libraries that solve the practical problems around running a Customer Data Platform in production — tag/analytics implementation, audience intelligence, reverse ETL, and the data-pipeline reliability that CDPs depend on. Outside of MarTech, I also build systems-level software for fun (an AI-native OS kernel written in Rust — the SHER OS family).

• 🔭 Current focus: Customer Data Platforms, marketing data pipelines, and the Python tooling that supports them
• 🤖 Exploring: Agentic AI for MarTech workflows, RAG architectures, MCP-based agent tooling
• 🎓 Background: MBA, Jansons School of Business · B.Com, Mar Ivanios College

MarTech & Customer Data Platforms Adobe RT-CDP, Braze, mParticle, Segment CDP, customer journey orchestration, identity resolution, real-time activation, Hightouch / Reverse ETL

Data Warehousing & Engineering BigQuery, Snowflake, Databricks (PySpark), Microsoft Fabric, Azure Data Factory, Airbyte / Fivetran, dbt, Apache Airflow, Apache Kafka, Apache Flink (PyFlink), InfluxDB, Telegraf, Datadog

Cloud & Data Platforms GCP, Azure, AWS · Google Cloud Storage, Azure Blob Storage / ADLS, Amazon S3, MinIO

AI — RAG & Application Development LangChain, LangGraph, LlamaIndex, Chainlit / OpenWebUI, LangSmith, DSPy, BM25 + vector similarity + reranking, Context Engineering, Ragas + DeepEval, Pinecone, Weaviate, ChromaDB, pgvector, Qdrant, Milvus

AI — Agent Automation Temporal, Langflow, n8n + Node.js, FastAPI, Firecrawl, Tavily, SerpAPI, Twilio, Claude Agent SDK, OpenAI Agent SDK, Google Agent SDK, Ollama, Scheduled & Background Agents

AI — Autonomous Code Generation Claude Code, Cursor, Replit, Codex, Hermes Agent, OpenCode, Loveable, OpenRouter

MCP & Model Platforms Model Context Protocol, Hugging Face, AWS Bedrock, Azure AI Foundry, GCP Vertex AI (Model Garden)

Infrastructure as Code & Containers Terraform, Docker, Docker Compose, Azure Kubernetes Service (AKS), NGINX Ingress

Identity & Security Entra ID / Azure AD, Azure Key Vault, Azure AI Search, incoming/outgoing guardrails

IoT, Messaging & Robotics Raspberry Pi 5, ESP32, MQTT (Eclipse / RabbitMQ), Node-RED, AWS IoT Core, AWS IoT SiteWise, CoAP, Edge Processing, Industrial IoT

Crawls a site, builds a semantic DOM graph, and exports ready-to-use tracking configs to GTM, GA4, Segment, Snowplow, Tealium, RudderStack, and Adobe Tags — no manual CSS-selector hunting.

RFM analysis, 6 clustering algorithms, CLV, churn detection, and lookalike modeling. Processes 1M+ customers in under a second.

Moves data to where it's needed with a full audit trail, lineage tracking, and compliance records — the activation counterpart to CDP ingestion.

Dependency intelligence and declarative data-quality validation (schema validation, drift detection, anomaly detection) for the Airflow/dbt pipelines that feed customer data platforms.

_{Also building outside the MarTech day job: SHER OS, an AI-native operating system kernel in Rust, and TinyBridge, a macOS-native Linux VM runtime — see the full index below.}

• 📧 mullassery@gmail.com
• 📍 Bengaluru, India
• 💼 LinkedIn
• 🚀 Product Hunt
• 🔗 github.com/Mullassery

Thanks for stopping by — always happy to talk CDPs, marketing data pipelines, or the Python tooling that makes them reliable.