Deepa A.

AI agents and MCP, large-scale web scraping, and production APIs on AWS, built by an architect with $2M+ earned and 100% Job Success.

Most of my clients need three things working together: AI agents that act on their real systems, scraping and data pipelines that feed those systems clean data, and APIs and cloud infrastructure that keep everything running. I build all three.

I'm an AWS Certified Solutions Architect with 15+ years building platforms that have to keep working: rate limits, retries, bad inputs, blocked requests, cost per call, and deploys that can't break production.

𝗦𝗢𝗠𝗘 𝗡𝗨𝗠𝗕𝗘𝗥𝗦
▪ $2M+ earned on Upwork, 100% Job Success, 5.0 from 49 reviews
▪ 60+ enterprise projects, 28,000+ hours
▪ Multi-year clients: one data platform from 2022 to 2026, a back-end engagement for 2.5+ years
▪ "Deepa is one of the best programmers I know." (client review)

𝗔𝗜 𝗔𝗚𝗘𝗡𝗧𝗦 𝗔𝗡𝗗 𝗠𝗖𝗣
▪ Custom Python MCP servers that let Claude, ChatGPT or your agents securely use your databases, APIs, Microsoft 365 email, SharePoint, Confluence, Google Docs, HubSpot and Slack
▪ Multi-agent LangGraph workflows with tool routing, persistent memory and human escalation, plus RAG on Pinecone, pgvector or Qdrant with access controls
▪ Workflow automation, OCR on images and TIFFs, document extraction and computer vision; fine-tuning with Amazon Bedrock and SageMaker HyperPod

𝗪𝗘𝗕 𝗦𝗖𝗥𝗔𝗣𝗜𝗡𝗚, 𝗗𝗔𝗧𝗔 𝗔𝗡𝗗 𝗚𝗘𝗢𝗦𝗣𝗔𝗧𝗜𝗔𝗟
▪ High-volume scraping of heavily protected sites such as Amazon, Walmart, Home Depot and Wayfair, with robust CAPTCHA and anti-bot handling
▪ Playwright, Selenium, Scrapy and Puppeteer, distributed with Celery and rotating proxies (Bright Data)
▪ Near-real-time scraping of natural gas pipeline flows to model supply and demand curves
▪ For a Florida attorney: identified foreclosure homes across Florida county records databases and decoded specific legal details from scanned records with OCR
▪ Pipelines that clean, normalize, deduplicate and link scraped data to your master dataset. SEC EDGAR financial statements and holdings
▪ ETL/ELT on Airflow, Kafka, dbt and Spark into Snowflake, BigQuery, Redshift, Databricks and PostgreSQL
▪ Geospatial: GDAL and GeoPandas, high-resolution satellite tasking with the Planet API, and detection and prediction models validated on large AIS vessel-track, imagery and time-series datasets

𝗔𝗣𝗜𝗦, 𝗖𝗟𝗢𝗨𝗗 𝗔𝗡𝗗 𝗖𝗜/𝗖𝗗 ▪ API development in Python and FastAPI: REST, webhooks, OAuth2, JWT, RBAC and SSO ▪ Third-party integrations: HubSpot, Slack, social media, Shopify Admin and Storefront, credit card payments, flight search and booking ▪ AWS deployments on ECS and Fargate, Lambda, API Gateway, S3, DynamoDB and OpenSearch, plus Azure and GCP, designed for 99.9% uptime ▪ CI/CD pipelines with GitHub Actions and Jenkins, infrastructure as code with Terraform, Docker and Kubernetes, zero-downtime releases across AWS, Azure and GCP ▪ Monitoring and observability (Prometheus, Grafana), performance optimization, legacy code conversion and migration