Pragati Bhingare

WORK HISTORY

EDUCATION

ABOUT PRAGATI BHINGARE

I am an AI Engineer focused on enterprise-grade AI for regulated, high-stakes environments—where reliability, governance, and operational clarity carry equal weight to model performance.My work sits at the intersection of applied ML and robust software engineering. I deliver ML/DL systems end-to-end: from problem framing and data strategy through feature/signal design and model selection, to evaluation, validation, and production deployment—engineered as dependable services with clear interfaces, monitoring, and well-defined failure modes. In parallel, I develop Generative AI workflows designed for controlled behaviour: structured outputs, traceability, and disciplined evaluation, balancing quality, latency, and cost under real operational constraints.Alongside applied AI, I bring a strong data engineering foundation. I have delivered scalable data pipelines and curated data products on cloud platforms, incorporating reconciliation and data-quality gates, schema evolution handling, and backfill-safe processing patterns aligned to Tier-1 banking standards.I thrive in multidisciplinary teams and enjoy translating complex AI capabilities into platforms and products that teams can operate with confidence.Core stack: Python, Spark/PySpark, SQL, Kafka, Airflow/AutoSys, Snowflake, StreamSets, AWS (S3, EMR, EC2, Lambda, SageMaker, Athena, CloudWatch), Docker, Git/GitLab, CI/CD (Jenkins/TeamCity).Focus areas: Applied ML/DL, Generative AI (LLM workflows, RAG/embeddings and semantic search, agentic patterns), and evaluation/robustness practices.Open to Senior opportunities across AI Engineering, Applied GenAI, and AI Platform—particularly where production readiness and governance are central to success.