Inderjit Singh C.

3X Certified — Anthropic · Google Cloud • Claude Certified Architect – Professional (Anthropic, 2026) • Google Certified Professional Machine Learning Engineer (recertified 2026) • Google Certified Associate Cloud Engineer AGENTIC AI & LLM ENGINEERING — WHAT I SOLVE Claude Certified Architect – Professional is Anthropic's credential for designing and leading production Claude deployments: agent architecture, tool and MCP integration, context engineering, and responsible-deployment governance. It sits on top of hands-on machine learning engineering since 2017. I currently build production agentic systems: multi-agent pipelines that classify business documents (contracts, invoices) and extract structured data from them, built on the Claude Agent SDK and OpenAI models, with MCP tool servers, deployed on Kubernetes (GKE / AKS). Bring me problems like: • AI agents & agentic workflows — design, build and harden autonomous and multi-agent systems (Claude Agent SDK, tool use, orchestration, human-in-the-loop) • MCP servers & tool integration — connect Claude / GPT to your APIs, databases and internal tools • LLM API integration (Claude, OpenAI / ChatGPT) — prompt engineering, structured JSON output, function calling, prompt caching, cost and latency tuning • RAG & document AI — retrieval, embeddings, extraction from PDFs, contracts and invoices • LLM reliability — evals, guardrails, hallucination reduction, context management for long-running agents • Claude Code for engineering teams — setup, custom skills, hooks, MCP and workflow automation • Shipping it — deploying LLM apps and agents on Google Cloud, AWS and Kubernetes, with monitoring ————————————— Contributed to Stanford Research (Echonet Dynamic) open source project for Interpretable AI for beat-to-beat cardiac function assessment. Successfully completed Stanford online certification in Machine learning with 97.3% grade. I love to work on challenging and state of the art cutting edge machine learning and artificial intelligence projects that push the edge or require the latest research in the field of machine learning and artificial intelligence. I have worked on attention mechanisms for improving the efficiency of existing models as well as creating new models from scratch that increase the capabilities for the model to solve the particular task much more effectively. I am able to implement "pytorch" "tensorflow" "keras" "octave" "tflearn" "sklearn" "pandas" "matplotlib" "nunmpy" "scipy" among others for any machine learning tasks, in the wide range of application spectrum. I am able to design front end back-end of the apps or a website etc. Can work on web-sockets servers google cloud platform hadoop reactjs image processing end to end models (including data prepossessing) I have successfully concluded a number of competition on kaggle with respectable positions on the leader-board. I am able to implement bhednau and Luong Attention mechanisms both in image (or video) classification, object detection or surveillance tasks, as well as in NLP (Natural Language Processing). NLP (implementation include:) Spacy Glove Vector Custom embeddings etc Can work with: Python reactjs c++ bash linux octave AWS Google cloud Terraform Ci/CD pipelines Kubernetes Tools: Prometheus Grafana Docker google cloud ml google ai-platform aws sagemaker google ml toolkit Azure Databricks Google AutomL Apart from the above interest, I also have always had the aspiration of being a writer.Starting of from the minor projects I am on my way to write a book, a semi-fictional psychoanalysis.I would love to write about new things and therefore add on to my own knowledge while doing that and earning at the very same time.