AI/ML Engineer: LLM, RAG, Automation

Jamil Parvez

774-***-**** **********@*****.***

https://github.com/jparvez083 Pingree Grove, Illinois

PROFESSIONAL SUMMARY

AI/ML Engineer with 10+ years across hospitality, real estate, and web products. Built classical ML models and data pipelines (2018-2022), then LLM features, RAG search, and workflow automation

(2023-present). Works with Python, FastAPI, pandas, scikit-learn, OpenAI, LangChain, n8n, and Make.com. Also ships React dashboards and CMS integrations. Comfortable owning projects from data prep and model integration through API design, deployment, and monitoring. WORK EXPERIENCE

Senior AI/ML Engineer REALTOR SHOP LLC March 2021 - 2026

• Built lead scoring and property data pipelines with Python, pandas, and scikit-learn for real estate listing and CRM workflows.

• From 2023, shipped LLM tools: listing description drafts, document Q&A, and content helpers using OpenAI, LangChain, and RAG.

• Automated realtor ops with n8n and Make.com: HubSpot sync, Slack alerts, email sequences, and webhook tasks across marketing tools.

• Developed FastAPI services for AI endpoints, structured JSON outputs, and background jobs for ingestion and inference.

• Created React admin panels for prompt testing, content review, and automation monitoring used by marketing and ops teams.

• Launched a CMS AI content plugin in 2024 for WordPress with prompt templates and multi-language draft support.

• Improved API response times and batch jobs with query tuning, caching, and Docker deployments on AWS.

• Worked in Agile sprints with product and design. Reviewed pull requests on GitHub and supported CI/CD releases.

AI/ML Developer Hilton Hotel & Resorts 2018 - 2021

• Built demand forecasting and booking trend models with Python, pandas, and scikit-learn for hospitality reporting.

• Developed REST APIs and data pipelines that fed React dashboards with occupancy, revenue, and forecast metrics.

• Automated report exports and notification flows with Zapier and custom webhooks for operations teams.

• Integrated third-party APIs and managed PostgreSQL and MongoDB data used in analytics views.

• Led code reviews and mentored junior developers on Python services and maintainable front-end patterns.

• Improved page load and API latency through profiling, query optimization, and front-end performance fixes.

Software Developer Iqlance 2015 - 2017

• Built responsive rental marketplace UIs with HTML5, CSS3, JavaScript, and early React components.

• Connected front-end views to REST APIs for listings, search filters, and dynamic content updates.

• Worked with designers to turn wireframes into production pages with cross-browser testing.

• Improved load times with image optimization, lazy loading, and cleaner component structure.

• Participated in code reviews and Agile delivery for rental application features. AI & ML PROJECTS

Hotel Demand Forecasting Model

2018-2020 · Python · pandas · scikit-learn · PostgreSQL · React

• Trained regression models on historical booking data to forecast weekly occupancy and revenue bands.

• Exposed predictions through a REST API consumed by internal hospitality dashboards.

• Scheduled batch jobs that refreshed forecasts and emailed summary reports to ops managers. Rental Marketplace Analytics Dashboard

2015-2017 · JavaScript · React · REST APIs · MySQL

• Built rental listing views with search filters, map pins, and saved-search state.

• Connected UI components to listing APIs for availability, pricing, and photo galleries.

• Tracked engagement events to help product teams prioritize feature improvements. Real Estate Lead Scoring Pipeline

2021-2022 · Python · pandas · scikit-learn · HubSpot · PostgreSQL

• Scored inbound leads from web forms using feature rules and a trained classifier.

• Synced scores back to HubSpot so sales teams could prioritize follow-up calls.

• Added validation checks for missing fields and duplicate submissions. CMS AI Content Generator Plugin

2024 · PHP · WordPress · OpenAI · JavaScript · REST APIs

• Built a WordPress plugin that drafts blog and listing copy from user prompts with tone controls.

• Added multi-language draft support and editor preview before publish.

• Ran A/B tests on UI flows and prompt defaults to improve adoption and editor satisfaction. Property Listing Document Search

2023-2024 · Python · FastAPI · LangChain · OpenAI · pgvector · React

• Indexed property brochures and disclosure PDFs for semantic search with cited answers.

• Built an upload UI to add listings, re-index documents, and test queries before go-live.

• Tuned chunking and metadata filters to improve retrieval on address and amenity questions. Realtor CRM Automation Suite

2022-2025 · n8n · Make.com · HubSpot · Slack · Webhooks · Python

• Packaged n8n workflows for new lead alerts, showing reminders, and weekly pipeline digests.

• Connected Make.com scenarios for teams that managed automations without self-hosted n8n.

• Added Python webhook handlers for field mapping, retries, and failure alerts. TECHNICAL SKILLS

• ML & Data: Python, pandas, scikit-learn, NumPy, feature engineering, batch jobs, PostgreSQL, MongoDB

• Automation: n8n, Make.com, Zapier, webhooks, HubSpot, Slack, workflow orchestration

• LLM & RAG (2023+): OpenAI, Claude, prompt engineering, LangChain, embeddings, pgvector

• Backend & APIs: FastAPI, Node.js, PHP, Laravel, REST APIs, async jobs, Redis

• Frontend & CMS: React, JavaScript, HTML5, CSS3, WordPress, admin dashboards

• DevOps & Tools: Docker, AWS, Jenkins, Git, GitHub, CI/CD, pytest, Agile, Jira Education 2010 - 2014

University of Illinois

Bachelor of Science in Computer Science

• Coursework in software engineering, data structures, algorithms, databases, and machine learning.

• Built full-stack web projects for coursework and student development teams.

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