Ankur – Python, RAG, Microsoft Azure, experts in Lemon.io

Ankur

From Canada (UTC-4)flag

AI Engineer
AI Agent Architect
AI Automation Architect
Back-end Web Developer
Tech lead
DevOps
Architect

Ankur – Python, RAG, Microsoft Azure

Ankur is a senior applied AI engineer with 16 years of experience, specializing in retrieval-augmented generation (RAG) and cloud architecture. He has led end-to-end design and deployment of production RAG systems, with strengths in pipeline design, metadata enrichment, and cost-aware architecture across AWS, Azure, and GCP. His experience spans enterprise document ingestion, search quality, and agent tooling, with verified expertise in prompt engineering and applied AI integration. Communication, proactivity, and client-focused delivery are confirmed strengths.

16 years of commercial experience in
Accounting
AI
Architecture
Banking
Fintech
Chatbots
Platforms
AI platform
Agentic automation
Main technologies
Python
1 year
RAG
4.5 years
Microsoft Azure
4.5 years
AWS
4.5 years
Additional skills
LangChain
React
Azure Functions
Kafka
GraphQL
Databricks
Node.js
JavaScript
Amazon ECS
DevOps
Jenkins
Docker
Adobe
Apache
Apache Tomcat
AI agent development
OpenAI
LLM
Chat bots
NLP
Azure DevOps
Direct hire
Possible
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Experience Highlights

Agentic AI product Development (Founder)
Apr 2026 - Ongoing5 months
Project Overview

A technology company providing agentic AI and business process automation services powered by generative AI, delivering AI-powered workflows and intelligent automation solutions.

Responsibilities:
  • Founded and served as sole engineer of The Filing Fool, a web and iOS platform (Next.js, React Native, Node.js on Google Cloud) that ingests SEC and government disclosure data and turns it into insider-, fund-, and Congress-trading signals, live on the App Store with a freemium subscription model.
  • Founded Akurion AI, an enterprise knowledge platform that lets teams ask questions of their own documents and get cited answers.
  • Built the platform end to end: a Python/Flask backend on Google Cloud Run (~18 containerized services), a React/Wasp web app, and Terraform-managed infrastructure.
  • Designed retrieval combining vector search with automatic metadata extraction and a knowledge graph, exposed as four answer modes (Fast, Research, Agentic, Enhanced) that trade speed against depth.
  • Added "bring your own model" and "bring your own vector index" support, enabling customers to run answers on their own OpenAI, Anthropic, AWS Bedrock, or Google Vertex account and store vectors in their own Pinecone index; tested Claude on Amazon Bedrock end to end against a live account.
  • Shipped a developer platform including a REST API and MCP tools, workspace and project API keys, SSO, roles, and per-key credit budgets and rate limits.
Project Tech stack:
RAG
Python
GCP
React
PostgreSQL
Cloud Firestore
Anthropic
AI
AI chatbot development
AI agent development
AI-assisted coding
iOS
Chart.js
Vertex AI
Bedrock
Terraform
MCP Server
Docker
API Gateway
FastAPI
REST API
MCP
AI agent orchestration
Aiohttp
Containers
Tailwind CSS
Cloud Architecture
Microservices
Senior Software Engineer
Dec 2021 - Mar 20264 years 2 months
Project Overview

A global commercial real estate services and investment management company, powered by data and real estate expertise to help clients make informed decisions and execute with confidence.

Responsibilities:
  • Built large-scale microservices on Azure and AWS, processing millions of items.
  • Focused on cost optimization across cloud infrastructure and services.
  • Developed the UI in React.
  • Contributed to overall system reliability and scalability as the platform grew.
Project Tech stack:
AWS
Microsoft Azure
React
Node.js
JavaScript
Python
GraphQL
Kafka
Azure Functions
Databricks
RAG
Automation Engineer III
Sep 2020 - Dec 20211 year 3 months
Project Overview

A global software company empowering everyone to create, best known for its creative, marketing, and document software products.

Responsibilities:
  • Led a team of 4 in designing and developing a finance accruals web application with an AngularJS front-end and Node.js backend.
  • Built a centralized, hosted system enabling account managers to submit accrual details directly, replacing a time-consuming manual process previously handled over email.
  • Implemented on-demand calculation and report generation, allowing the accounting team to process accruals at a regular cadence.
Project Tech stack:
Amazon ECS
Angular.js
Node.js
Computer Scientist
Dec 2015 - Feb 20204 years 2 months
Project Overview

Multi chatbot platform (Advanced Transactional Bot):

Responsibilities:
  • Developed a Node.js chatbot platform with a router framework routing user queries to domain-specific child bots via NLP intent detection, integrated with Slack, Jabber, and HTTP WebApp channels.
  • Set up CI/CD pipelines across multiple development teams, enabling self-service build, operational, and release tasks via ACLs.
  • Managed infrastructure as code using Chef, Terraform, Ansible, and Packer.
  • Set up monitoring with Icinga and Nagios, and built a PoC for Prometheus-Grafana.
  • Provided on-call operations support for major incidents and critical service outages.
  • Handled releases for Adobe's legacy e-commerce platform (CXF) and Adobe.com (AWS) across 14 applications.
  • Automated Azure and Adobe IT cloud resource provisioning via an in-house platform ('mPaaS') using the Azure Node.js SDK and REST APIs.
  • Developed a PHP web app for searching and managing regex-based redirects and Apache rewrite rules on Adobe.com and Helpx.adobe.com, supporting both DevOps and web content management teams.
  • Maintained PCI and SOX compliance across required applications and environments.
Project Tech stack:
Node.js
DevOps
Docker
Jenkins
Node.red
AWS CloudFormation
Azure PaaS
NLP
API
AI chatbot development
PHP
Apache
Docker Compose
Middleware Engineer
Jan 2015 - Aug 20156 months
Project Overview

A global provider of business, legal, and financial services, offering corporate compliance, entity management, domain name and digital brand protection, and capital markets administration solutions to enterprises worldwide.

Responsibilities:
  • Maintained SLAs and implemented new projects.
  • Worked on multiple middleware technologies.
  • Trained junior team members.
  • Automated tasks with Unix shell scripting.
  • Coordinated with other teams.
  • Carried out routine tasks.
Project Tech stack:
Bash

Languages

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English
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