Thomas Chacko

WORK HISTORY

EDUCATION

SKILLS

ABOUT THOMAS CHACKO

Make it work, make it right, make it fast.Ex-Meta Senior Engineer with 13 years of experience building and scaling platforms for data, analytics, and AI/ML. I bridge the gap between Data, Backend, Full-Stack, AI, and Machine Learning; from high-throughput streaming pipelines to APIs that power applications. My deep engineering fundamentals make me adaptable across any technical environment.My engineering workflow is supercharged by modern AI-assisted tooling (Cursor IDE, Google Gemini, Anthropic Claude, Cline, Roo Code, etc.). I am an expert in leveraging these tools to significantly accelerate development and deliver high-quality, maintainable code with great velocity even across unfamiliar tech stacks.I thrive on complex engineering challenges—from architecting data platforms with Spark, to designing scalable backend services, to developing AI systems with RAG and multi-agent architectures. My expertise is in building robust, end-to-end solutions, covering everything from foundational data engineering, to AI/ML, to the full-stack infrastructure that ensures reliability and performance from the data layer to the user experience.Skills and Tools: Languages & Core Libraries - Python (PySpark, Pandas, FastAPI), SQL (Advanced Query Optimization), JavaScript (Node.js), TypeScript AI & Generative AI - MLOps, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Multi-Agent Systems, Knowledge Graphs, LangChain, CrewAI, Prompt Engineering, Context Engineering, Fine-Tuning, LoRA, NLP, OpenAI API, Hugging Face, Anthropic Claude, Google Gemini, Cursor IDE Software & Backend Engineering - Backend Development, Full-Stack Development, System Design, Distributed Systems, Microservices, API Development (REST, GraphQL), CI/CD, Git Big Data & Streaming - Apache Spark, Apache Airflow, Apache Kafka, Apache Flink, Real-Time & Batch Stream Processing Data Engineering - ETL/ELT, Data Pipelines, Data Architecture, Data Modeling (Star & Snowflake Schema), Data Warehousing, Data Lakes & Lakehouses Data Platforms - Snowflake, Databricks Cloud Platforms - AWS, GCP, Azure Databases - Relational (PostgreSQL), NoSQL (MongoDB), Vector Databases, Graph Databases Infrastructure & DevOps - Infrastructure-as-Code (IaC), Terraform, Docker, Kubernetes, DataOps, Observability (Prometheus, Grafana)My work spans Data Engineering, AI Engineering, ML Engineering, Backend Engineering, and Full-Stack Software Engineering. If you need a passionate engineer to build for the future, or just want to network, let\'s connect.