HaRooN AnWeR

Data Scientist and Data Engineer with 1+ year of production experience as a Research Associate at LUMS Energy Institute (enfo.ai), leading data infrastructure across four live platforms — EV fleet management, smart charging, industrial energy analytics, and residential building automation. Ingests 31-field IoT telemetry every 9 seconds through MQTT into TimescaleDB, builds anomaly-detection and demand-forecasting dashboards in R Shiny, React.js and Plotly, and deploys secured FastAPI services with Docker, Nginx and systemd on AWS EC2 and VPS. Previously, as a Machine Learning Engineer intern at Headstarter AI, delivered 5 AI projects in 5 weeks, including a RAG customer-support agent built on OpenAI and Pinecone.

Data Engineer (Research Associate) at LUMS Energy Institute (enfo.ai) (2025-06 – Present)

• Built multi-tenant energy analytics dashboards in R Shiny and React.js with Plotly visualizations spanning consumption analytics, anomaly detection, demand forecasting, and executive reporting for industrial and residential energy datasets
• Developed an automated alert-processor worker for residential energy management that evaluates live per-apartment sensor readings against rated power thresholds and triggers hardware breaker commands with full audit trail persistence
• Engineered real-time MQTT ingestion pipelines processing 31-field multi-phase electrical telemetry from IoT breakers and EV devices at 9-second intervals, persisting voltage, current, power factor, and THD readings into TimescaleDB with composite primary key schemas and auto-assigned session IDs
• Designed multi-tenant data models for smart EV charging covering QR-based session lifecycle, wallet credit management, hardware command dispatch, and idempotent billing sync, secured by role-based FastAPI backends with JWT authentication and dependency-injection RBAC serving five concurrent user tiers
• Architected a distributed bi-directional database sync system between cloud and offline-capable operator station PCs, with background workers continuously reconciling swap transactions, live telemetry, GPS positions, and fleet records across environments
• Deployed all production systems on Hostinger VPS and AWS EC2 with Docker containerization, Nginx reverse proxy, systemd service supervision, structured logging, and MQTT worker process management

Machine Learning Engineer, Internship at Headstarter AI (2024-06 – 2024-08)

• Collaborated on an interactive customer support agent with a custom RAG pipeline using OpenAI and Pinecone, enhancing response accuracy from company knowledge bases
• Developed 5 AI projects in 5 weeks using React.js, MongoDB, Machine Learning models, and Firebase, with CI/CD pipelines for automated deployment
• Created a SaaS product for dynamic flashcard generation and an AI-based Teacher Review website, attracting 300 waitlist sign-ups within two days and scaling user engagement to 200+

Bachelor of Science in Data Science – Government College University, Faisalabad (2021-08 – 2025-06)