Microsoft Skill Fest Hackathon Winner · 2026
Gappy AI Hackathon Winner · 2026
Artificial Intelligence Engineer
iQube
June 2024 - Present
Designing, developing, and deploying scalable end-to-end AI systems spanning machine learning, deep learning, and generative AI, translating complex R&D into production platforms with a strong focus on scalability, reliability, and real-world integration.
Impact
- Built production-ready FastAPI-based platforms with RAG pipelines, vector databases, hybrid retrieval, cross-encoder reranking, LLM integration, and robust observability via latency tracing and structured logging.
- Architected end-to-end data pipelines for preprocessing, EDA, dimensionality reduction, and model optimization, delivering time-series forecasting, risk classification, and financial analytics models on large-scale datasets for real-world decision-making.
Focus areas
Generative AIRAG PipelinesHybrid RetrievalLLM IntegrationTime-series ForecastingRisk ClassificationObservability
