Powering AI-driven opportunity discovery for real estate investors and developers.

- Modernized Bayshire Realty's digital strategy, resulting in a comprehensive overhaul of their online presence.- Orchestrated the architecture and development of an innovative real-time call transcription and summarization service.- Leveraged cutting-edge generative AI technologies such as WisperAI and GPT-4, alongside AWS services like Lambda and API Gateway for real-time call transcription and summarization.- Led the redesign of the company websites using Next.js for the front-end and Node.js for the backend.- Facilitated the formation of multi-million-dollar partnerships by boosting brand visibility.- Developed and integrated APIs to consolidate digital operations and customer support, thereby increasing operational efficiency.- Leveraged technology to introduce new customer support channels, further enhancing customer engagement.

- Designed and implemented robust data solutions tailored for Oxfam Novib's CRM, utilizing Azure Databricks, SQL, Data Factory, Key Vault, and DevOps.- Executed a multi-source ETL pipeline, streamlining migration from platforms like SAP and Salesforce. Deployed a three-tier data architecture (Bronze, Silver, Gold) to facilitate analytics, machine learning, and campaign management.- Established GDPR-compliant data processes, incorporating automated anonymization and data retention features to reinforce organizational data privacy and security standards.- Led DevOps efforts via Azure DevOps, crafting detailed documentation for each phase of development and production.- Excelled in enhancing team cohesion and broadening the scope of software development expertise, showcasing both technical adaptability and robust collaboration skills.

- Crafted an ETL engine using Python to seamlessly integrate data from multiple Learning Management Systems into Klassroom's platform.- Led the team in architecting and deploying cloud solutions, primarily utilizing AWS services.- Set up a robust error monitoring system and automated testing frameworks to maintain high data quality and reliability.- Balanced dual roles in development: enhanced user interface using Angular for the front-end, and managed core data engineering tasks using Node.js for the backend.

- Contributed to R&D efforts by analyzing and customizing database marketing models like RFM (Recency, Frequency, Monetary) to enhance customer segmentation strategies.- Fine-tuned existing machine learning models for customer segmentation, achieving a 20% F-score improvement to 96% and more efficient memory usage.- Deployed machine learning algorithms to categorize customers into key segments, such as hot, cold, and churn, improving targeted marketing efforts.

- Engineered scalable microservices with Java Spring and gRPC, designed around RESTful APIs to optimize data access and processing.- Led research and development projects to investigate cutting-edge data engineering technologies, with contributions leading to academic publications.- Directed web scraping activities, employing Python libraries such as BeautifulSoup, Scrapy, and Selenium to gather valuable datasets.- Managed end-to-end ETL workflows to clean, transform, and prepare collected data for downstream analytics applications.

- Engineered a transformative redesign for APPSAN, a vertical super application, focusing on UX/UI enhancements and modular architecture, resulting in improved user retention and engagement.- Led the architectural planning and development of INTEGROPIA, a cutting-edge API management system, that optimized workflow automation and data integration across multiple departments.- Authored, maintained, and updated comprehensive technical documentation for APPSAN and INTEGROPIA, serving as the critical reference point for both internal teams and external clients.- Played a key role in business development by aiding in the negotiation and closing of pivotal contracts with industry giants such as MCI and the Ministry of Economic Affairs and Finance of Iran.

- Course Design & Delivery: Developed and instructed a beginner's Python course, covering foundational topics and best practices in Python programming.- Student Engagement: Employed interactive teaching methods to enhance learning and participation, leading to improved student outcomes.- Skills Enhancement: Provided a focus on Python programming as well as an introduction to Machine Learning concepts.

- Leadership: Served as the head teaching assistant for an advanced data mining course, coordinating tasks among other teaching assistants and providing supplemental instruction and support to students.- Curriculum Support: Assisted in the development of course material, including lesson plans, assignments, and quizzes.- Technical Expertise: Utilized Python and machine learning algorithms to facilitate practical, hands-on learning experiences for students.

- Led the architectural design and rollout of the Ministry of Agriculture's Automation System in Iran, emphasizing data integrity, scalability, and future-proof architecture.- Performed in-depth data analysis using advanced statistical techniques to inform and optimize system design, ultimately aiding in its successful deployment.- Applied BPMN2 for business process modeling to analyze and improve overall system efficiency, thereby aligning technical workflows with organizational goals.- Worked closely with cross-functional stakeholders to transform business needs into technical specs, ensuring the final solution surpassed expectations.