Mohammad Vohra

Mohammad Vohra Hyderabad, India | Phone available on request | Email available on request | LinkedIn | GitHub RELEVANT EXPERIENCE iSpatial Techno Solutions India / UAE Data Engineer - I June 2025 – Present Data Management & Engineering (Resourced to MOIAT, UAE) Client – Ministry of Industry and Advanced Technology, UAE (moiat.gov.ae) • • Developed ETL pipelines and centralized data warehouse for processing 50 GB daily industrial data from UAE government entities to power national KPI dashboards. Delivered 25% faster dashboard refresh cycles via incremental loading and partitioned tables, unified crossministry records with 99.8% data quality, and enabled real-time leadership monitoring through Power BI integration. Associate Data Scientist June 2024 – June 2025 AI-Driven Document, Text-to-SQL & Data Query Platform – Weather Monitoring System Client – Fujairah Environment Authority, UAE (jawo.fea.gov.ae) • • • Created an AI assistant using On-prem Ollama model(user preference), GPT-4, and LangChain that lets Fujairah Environment Authority staff ask simple English questions about their databases and documents (PDFs/Excel files), with smart search and user session tracking. Delivered 70% faster answers and 85% more accurate searches, plus a secure production API with full activity logging, helping environmental teams quickly get insights from multiple data sources and automate reports. Developed a highly scalable AI assistant by following an agentic pattern, with modular components for vector embeddings, ChromaDB, chunking, and integrating RAG, Text-to-SQL, and document analysis as microservices, enabling easy debugging, efficient operations, and high scalability. BRAEIN AI: Chat Interface with Text-to-SQL, GraphRAG & Geospatial Intelligence Client – iSpatial Techno Solutions (Product) • • • Created an AI chatbot using Azure OpenAI(Private), LangChain, and Text-to-SQL tool that lets users ask simple questions about maps and GIS data in plain English. Added natural language map analysis, image upload tools for custom object detection, and automated data workflows with Docker deployment. Spatial analysts can now query maps and satellite imagery using everyday language, upload their own images for AI analysis with annotation tools, and get automated GIS data processing—making geographic analysis much faster and easier for the team. Deployed the AI chatbot using Docker for easy containerization and PM2 for service management. Created two versions: one for internet use and another for local deployment, ensuring data privacy within a secure network. TECHNICAL SKILLS • • • • • • Programming languages and tools - Python, SQL, Jupyter Notebooks, VS Code, GitHub Codespaces, ArcGIS Data Engineering & ETL– Azure Data Lake, Data Warehouses, Microservices Architecture, Data Governance, Pipeline Orchestration, Real-time Processing, Scalable Storage Solutions, SSIS, Azure Data Factory, n8n, SCD (Slowly Changing Dimensions), Master Data Management, Data Ingestion, Transformation Workflows Machine Learning & AI - Linear/Logistic Regression, Random Forest, Ensemble Models, Gradient Boosting, CNN/VGG/YOLO Generative AI & Vector DBs – On prem LLMs, OpenAI GPT-4, LangChain, GraphRAG, Text-to-SQL, RAG pipelines, Semantic Search, ChromaDB, FAISS, Pinecone, Qdrant Cloud, DevOps & APIs - Azure OpenAI, Azure Data Factory, Azure Data Lake Gen2, Azure Synapse Analytics, Docker, CI/CD, FastAPI, REST APIs, Pydantic, Pagination Databases, Geospatial & BI - Microsoft SQL Server, Redis, PostgreSQL, MySQL, Object Detection, Image Classification, Spatial Analysis, Power BI, Microsoft SSAS, Interactive Maps, GIS Dashboards, Swipe Tools EDUCATION Symbiosis International University, Pune, India Jul 2022 - Jun 2024 M.Sc. in Data Science and Spatial Analytics Veer Narmad South Gujarat University, Surat Bachelor’s in Computer Applications Jun 2019 – Jun 2022 Publications Understanding Viewer Sentiment on Online Educational Content: An Analysis Framework for a Video Streaming Platform Using Natural Language Processing August 2025 International Conference on Current Advancements in Machine Learning, Vol. 2538 | Link Generative AI-Driven Spatial Data Extraction in OpenStreetMap using Natural Language Queries International Journal of Geoinformatics, Vol. 21, No. 6 | Link June 2025