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Jamil Parvez
Jamil Parvez

Senior AI/ML Engineer

Actively looking · Member since 3 Nov 2026
Location
Pingree Grove, United States
Desired salary
Unspecified
Work preference
Remote Only
Experience level
Senior

About

Professional summary

I am a Senior AI/ML Engineer with more than 10 years of experience building data-driven web products across real estate, hospitality, and rental marketplace domains.

I build machine learning models, data pipelines, and forecasting systems using Python, pandas, scikit-learn, NumPy, PostgreSQL, and MongoDB. My work includes lead scoring, demand forecasting, feature engineering, batch processing, and analytics reporting.

Since 2023, I have focused heavily on LLM applications, including RAG search, document question answering, semantic retrieval, prompt engineering, embeddings, and AI content generation using OpenAI, Claude, LangChain, FastAPI, and pgvector.

I also automate operational workflows with n8n, Make.com, Zapier, HubSpot, Slack, webhooks, and custom Python services. I create reliable integrations for CRM synchronization, notifications, email sequences, retries, and failure handling.

I am comfortable delivering end-to-end products, from data preparation and model integration to API development, React dashboards, WordPress CMS integrations, Docker deployment on AWS, CI/CD, monitoring, and performance optimization.

I work effectively in Agile teams, collaborate with product and design stakeholders, review pull requests, and mentor engineers on maintainable backend and frontend development practices.

Skills

27 capabilities
A B TestingAgileAPI DevelopmentArtificial IntelligenceBackend DevelopmentCachingCI CDClassificationCode ReviewCross Browser TestingData AnalysisData PipelinesDatabase DesignEmbeddingsFrontend DevelopmentJSONLead ScoringMachine LearningMentoringPerformance OptimizationPrompt EngineeringQuery OptimizationRAGREST APIsSemantic SearchWordPress DevelopmentWorkflow Automation

Tech stack & tools

Working toolkit

Application Hosting

JenkinsRedis

Collaboration

Jira

Communications

Slack

Data Stores

MongoDBMySQLPostgreSQL

Development

DockerGitGitHubWordPress

Languages & Frameworks

CSS3FastAPIHTML5JavaScriptLaravelPHPPyTestPythonReact

Libraries

NumPyPandas

Experience

Career history

Senior AI/ML Engineer REALTOR SHOP LLC

Built lead-scoring systems and property-data pipelines using Python, pandas, and scikit-learn for real estate listing and CRM workflows. Developed LLM-powered tools for listing copy, document Q&A, content assistance, and RAG-based search using OpenAI and LangChain.

Created FastAPI services for structured AI outputs, ingestion, inference, and background jobs. Automated operations with n8n and Make.com integrations for HubSpot, Slack, email sequences, and webhooks; built React admin panels and a WordPress AI content plugin; and improved performance through query tuning, caching, Docker, and AWS deployments.

Worked in Agile sprints with product and design teams, reviewed GitHub pull requests, and supported CI/CD releases.

AI/ML Developer Hilton Hotel & Resorts

Built demand forecasting and booking-trend models using Python, pandas, and scikit-learn to support hospitality reporting. Developed data pipelines and REST APIs that supplied React dashboards with occupancy, revenue, and forecast metrics.

Automated report exports and notifications using Zapier and custom webhooks. Integrated third-party APIs and managed PostgreSQL and MongoDB data for analytics views while improving API latency, page performance, and query efficiency.

Led code reviews and mentored junior developers on maintainable Python services and frontend development patterns.

Software Developer Iqlance

Built responsive rental marketplace user interfaces using HTML5, CSS3, JavaScript, and early React components. Connected frontend views to REST APIs for listings, search filters, availability, and dynamic content updates.

Collaborated with designers to translate wireframes into production pages and performed cross-browser testing. Improved application load times through image optimization, lazy loading, and cleaner component structures.

Participated in Agile delivery, code reviews, and feature development for rental application products.

Education

Learning history

University of Illinois

Bachelor of Science, Computer Science

Completed 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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