Anu Kumar — Senior AI Engineer
Senior AI Engineer working on LLM agents, retrieval pipelines, and the infrastructure that keeps them running.
Mohali, Punjab, India · anu2614kumar@gmail.com
Reasoning loops, tool-calling, confidence scoring, and human-approval checkpoints. The interesting problems are not the prompts. They are what happens when a tool call fails at three in the morning, when a model returns something plausible and wrong, and when a decision needs a person to sign off before it executes.
RAG pipelines that tie agent decisions to real company data instead of model memory. Chunking, embedding, ranking, and the evaluation loop that tells you whether retrieval is actually helping.
FastAPI and Node services, PostgreSQL and Redis, Docker and Kubernetes, CI/CD. Models are a component. The system around them is the product.
The agent and LLM layer of an enterprise agentic platform.
Core contributor to the agent runtime: reasoning and tool-calling workflows, confidence scoring on generated output, and human-approval checkpoints before an agent action commits. The retrieval side grounds those decisions in company data rather than model priors.
Python · FastAPI · LLM agents · RAG · Docker · Kubernetes
A CRM product for small and mid-size businesses across several industries.
Built and shipped end to end: the backend, the admin panel, and the customer-facing storefronts the businesses run on.
Node.js · React
Product and ad-campaign discovery for dropshippers, with an AI-assisted store search.
Full-stack build on React and Node with a FastAPI service alongside it. Integrated the OpenAI realtime API so users could interrogate the catalogue conversationally instead of filtering it.
React · Node.js · PostgreSQL · FastAPI · AWS · OpenAI
An SEO tool that uses LLM agents for audits, keyword research and content planning.
One workspace handles several unrelated sites.
Node.js · React · LLM agents
A convolutional model that classifies chest X-rays for COVID-19 positivity.
Trained end to end: dataset preparation, augmentation, architecture selection, and evaluation. The early project that made the case for everything after it.
Python · CNN · Computer vision · Deep learning
Every SaaS product decides where one customer's data stops and the next one's starts. The three common answers look alike on a good day and differ on a bad one. I wrote up how each one fails and how to choose.
Mar 2026 - Present
Designing agent and LLM systems for project intelligence, workflow automation, and decision support. Building RAG pipelines with confidence scoring and human-approval controls, wired into enterprise tools and databases, shipped through Docker, Kubernetes, and CI/CD.
Aug 2023 - Feb 2026
Built full-stack applications on React, Node.js, and PostgreSQL across DigitalOcean and AWS, with REST APIs for real-time data exchange. Engineered an AI-assisted interaction platform on React, FastAPI, the Twilio SDK, and the OpenAI APIs.
2023
Django and React applications with secure backends on the Django ORM, SQLite3, and AWS EC2.
2023
Java applications on JDBC and J2EE, plus SQL query optimisation that cut turnaround on the team's reporting work.
B.Tech, Computer Science and Engineering, I.K.G. Punjab Technical University, 2019 - 2023.
Open to senior AI engineering roles, and to problems where the model is the easy part. The fastest way to reach me is email.