SENIOR ENGINEER · AI SYSTEMS · SOFTWARE · DATA · DEVOPS

I build AI, software & data systems end to end.

I'm Vikram Ramesh Babu, a senior engineer at Amazon. I design and deliver production systems across AI, software, data, cloud infrastructure, and DevOps.

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16+

Years of experience

99%

Reduction in data-ops turnaround

12×

Cohort scale — from 40 to 500+

Hours → seconds

Manual workflows automated

Skills

What I work with.

/ai

Agentic AI & LLM systems.

Production agent platforms using LangGraph, Amazon Bedrock AgentCore, RAG, hybrid retrieval, re-ranking, model routing, MCP, memory, observability, and human-in-the-loop workflows. Multiple agents are live and serving customers.

/architecture

Solutions architecture.

Designing reliable systems from requirements through architecture, service boundaries, data models, security, infrastructure, deployment, and operational ownership. Experienced across distributed systems, serverless platforms, event-driven workflows, and cloud-native applications.

/fullstack

Full-stack & DevOps.

React, TypeScript, Next.js, Python, FastAPI, PostgreSQL, AWS, CI/CD, CloudFormation, CDK, CloudWatch, ECS, Lambda, and containerized services. Comfortable moving between application code, platform engineering, infrastructure, and production operations.

/data

Data engineering & visualization.

Data platforms, analytical warehouses, ETL and ELT pipelines, data modeling, operational reporting, real-time dashboards, D3 visualizations, and data products built across heterogeneous sources.

TypeScript·Python·React·Next.js·FastAPI·Node.js·Tailwind CSS·AG Grid·AG Charts·Cloudscape·LangGraph·Amazon Bedrock·RAG·Anthropic Claude·Groq·AWS Lambda·Step Functions·ECS·AWS CDK·CloudFormation·DynamoDB·S3·Aurora·PostgreSQL·Amazon Redshift·Supabase·Neon·pgvector·Drizzle·D3·Recharts·Globe.gl·Tableau·React Native·Expo·GitHub Actions·Vercel·CloudWatch·

Experience

Impact over years.

Dec 2023 – Present

Senior Data Engineer

Amazon· Seattle, WA

Agentic AI Execution Platform — led the design and delivery of a production platform built on LangGraph and Amazon Bedrock AgentCore (Runtime, Gateway, Memory, OpenTelemetry). Supports interactive, autonomous, and supervised human-in-the-loop agents, with multiple agents live and serving customers. Showcased at internal Tech Summit and DevCon.
B2B Sales Planning Platform — designed the application architecture, DevOps, platform engineering, and full-stack implementation for an internal sales-planning system. Delivered with a cross-functional team from requirements and architecture through production operations.
Self-Service Data Operations Platform — designed and built a full-stack, event-driven platform that reduced data-operations turnaround by 99%, from 2–3 days to under 15 minutes. React and Cloudscape frontend; Python serverless backend; Step Functions orchestration; DynamoDB configuration store.
Cohort Provisioning Platform — designed and built a serverless API gateway, Python SDK/CLI, and AWS infrastructure stack that reduced provisioning effort from approximately 8 hours to seconds and enabled growth from 40 to more than 500 cohorts. Implemented OAuth2, multi-region routing, circuit breakers, canary deployments, and three global stacks.

Solutions Architecture, Agentic AI, Distributed Systems, Full-Stack Engineering, Serverless Architecture, Data Integration & ETL, IaC, CI/CD

▸Agentic AI Execution Platform— Enterprise platform for building, orchestrating and observing AI agents.Showcased

A production platform for building and operating AI agents with LangGraph and Amazon Bedrock AgentCore (Runtime, Gateway, Memory, and OpenTelemetry). It supports interactive, autonomous, and supervised human-in-the-loop agents, with multiple agents live and serving customers. Showcased at internal Tech Summit and DevCon.

Multiple agents are already live and serving customers in production.
Built three agent modalities — Interactive, Autonomous, and Supervised (human-in-the-loop) agents — on a single unified execution platform.
Production RAG with semantic chunking, hybrid retrieval, re-ranking and source attribution over S3-backed vector stores.
Multiple Model Context Protocol (MCP) servers for extensible, pluggable tool access across agents.
Full CI/CD pipelines and CloudFormation infrastructure-as-code throughout the delivery lifecycle.

Architecture & technology

Orchestration

LangGraph (stateful agent workflows, multi-agent coordination) · Strands

Runtime

Amazon Bedrock AgentCore — Runtime, Gateway, Memory, OpenTelemetry

Knowledge / RAG

Bedrock Knowledge Bases — S3 vector stores, semantic chunking, hybrid retrieval, re-ranking, source attribution

Observability

OpenTelemetry → CloudWatch GenAI — trace, latency, token usage and quality monitoring

Interfaces

AGUI Portal (frontend) · Slack integration · Amazon Quick integration

Extensibility

Multiple MCP (Model Context Protocol) servers

Delivery

Full CI/CD pipelines · CloudFormation (IaC)

Role — Lead architect & engineer

▸Sales Planning— In-house B2B sales planning platform, built end-to-end at Amazon.In production

An internal B2B sales-planning platform delivered for a sales organization. Led the application architecture, DevOps, platform engineering, and full-stack implementation with a cross-functional team from requirements through production operations.

Led the product — architecture, DevOps, platform engineering and full-stack development for a B2B sales org.
Designed hierarchical territory and quota planning with high-performance editable data grids (AG Grid) and interactive charts (AG Charts).
Serverless-first architecture with fully automated CI/CD and CloudFormation infrastructure-as-code.

Architecture & technology

Frontend

AWS CloudFront (CDN) · Cloudscape design system · React · TypeScript · AG Grid · AG Charts

Backend

Amazon ECS · Python · FastAPI (async REST services)

Database

Aurora PostgreSQL Serverless (RDS) — auto-scaling, connection pooling

Platform / Ops

Authorization (IAM) · CloudWatch observability · Amazon SES · full CI/CD · CloudFormation (IaC)

Role — Lead — architecture, platform engineering & full-stack

Jun 2022 – Nov 2023

Data Engineer

Amazon· Toronto, Canada

Architected and maintained the team’s core analytical data platform on Amazon Redshift, serving as the foundation for all analytics and reporting for the 3P Seller business.
Solely designed and launched a self-managed Tableau Server on AWS (EC2, EBS, VPC, ELB, Route53, SES) with enterprise SSO, DNS, and network security integration.
Built scalable ETL and automation pipelines to ingest, model, and persist data from multiple upstream sources; produced standardized metrics and data models distributed via Amazon’s internal data exchange platform.

Data Warehousing, Data Modeling, ETL Orchestration, BI & Visualization, AWS Infrastructure, Data Governance

Feb 2020 – Apr 2022

Data Engineer

Infosys Limited· Toronto, Canada

Led a large-scale cloud migration for a global food and beverage company, building data models and ELT pipelines to forecast product shipment logistics and consumption metrics for the Sales Operations supply chain planning team.

Data Modeling, ELT, Reporting & BI

Nov 2017 – Jan 2020

Senior Associate Consultant

Infosys Limited· Frankfurt, Germany

Built an enterprise-wide Data Lake on the cloud for Business and IT Services. Conducted data-to-value hackathons and internal training to drive platform adoption across the organization.

IT & Big Data Consulting, Data Visualization, ETL & Data Management, Agile

Apr 2015 – Oct 2017

Senior Associate Consultant

Infosys Limited· Bangalore, India

Built multiple B2C systems for customer engagement across customer-facing and sales-force channels. Led requirement gathering, user story elaboration, software testing, and ETL data management.

Requirements Engineering, Software Testing, ETL & Data Management

Dec 2010 – Aug 2013