Machine Learning Engineer
Zodhya
2021 - Present
- As a founding ML engineer, I architected and implemented deep learning solutions that expanded product capabilities from small retail spaces to large-scale commercial buildings and airports.
- Designed and deployed ML systems handling 100+ real-time sensor inputs per minute across multiple HVAC zones, achieving 30% reduction in energy consumption, ~250,000 electricity units annually.
- Built internal deep learning toolkit from scratchusing PyTorch and OpenAI Gym that reduced experiment cycle time from weeks to days and standardized training across the team.
- Built an RAG-based assistant reducing manual report generation times by 80%. Used LLMs, FAISS and semantic memory techniques to enable contextual retrieval from energy logs and documentation