SAMEEP YADAV
Delhi
Summary
Results-driven Data & AI professional with 4+ years of experience delivering enterprise-scale ML solutions at Microsoft. Expert in statistical modeling, A/B testing, NLP/CV deep learning, and MLOps. Delivered measurable outcomes: 4x faster insights, 80% cost savings, and 30% uptime gains. Strong at stakeholder collaboration and translating AI into business impact.
Overview
4
4
years of professional experience
Work History
Cloud Solution Architect - Data & AI
Microsoft
06.2021 - Current
- Built knowledge mining system (Azure Search + GPT-4), boosting insight discovery 4x
- Automated cheque processing via async calls and document intelligence, reducing ops time by 80%
- Delivered predictive support tool enabling 40% faster resolution, 40% cost savings
- Boosted uptime by30% by deploying Azure Open AI-based RAG for root cause analysis in the energy sector
- Compressed DL model (VGG16) to 15% size (92% accuracy) for crop classification at edge
- Re-architected pipelines saving 80% in compute cost, improving data load speed by60%
- Modernized ML Ops for 350+ models using ADB + Spark ML-enabled real-time JIT
- Collaborated with PMs & engineers to drive AI-first transformations
Education
B.Tech - Mathematics & Computing
Delhi Technological University (DCE)
New Delhi India06-2021
Skills
- Predictive Analytics
- Kubernetes management
- Deep Learning (NLP & CV)
- ML Ops
- Python (PyTorch, Pandas)
- SQL
- Azure ML
- Cognitive Services
- Azure Databricks
- Power BI
- Tableau
- Stakeholder Collaboration
- Communicating Insights
- Mentoring
- Cloud architecture design
- Network configuration
- Application modernization
- Cost optimization
- Multi-cloud strategy
Education Certifications
- B.Tech, Mathematics & Computing, Delhi Technological University (DCE), 05/21, First Class Honors, ML, Stats, DS, Distributed Computing
- Microsoft Certified: Azure AI Engineer Associate
Projects
- eveloped an NLP-to-SQL engine using grammar-based parsing with custom dictionaries to translate natural language queries into optimized SQL, leveraging stored procedures and subqueries for efficient data retrieval and automation.
- Automated data access by eliminating manual querying, reducing data retrieval time by 80% and improving overall efficiency by 60%, enabling faster data-driven decisions.
Timeline
Cloud Solution Architect - Data & AI
Microsoft
06.2021 - Current
B.Tech - Mathematics & Computing
Delhi Technological University (DCE)
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