Jahanvi
I am an Executive Engineer driven by a commitment to accountability and diligent pursuit of mastery in my work. My approach is rooted in logic and insight, allowing me to develop precise, impactful solutions while always striving towards an idealistic vision for innovation and improvement.
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Experience
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Executive Engineer
Linde Engineering India Pvt. Ltd. · Aug 2024 – Present
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Data Scientist
Linde Engineering India · Aug 2023 – Present
- Architected a global ML-powered software license optimization platform supporting 2,000+ engineers across multiple business units; developed XGBoost forecasting models in Azure Machine Learning (~13% MAPE) using historical utilization patterns, seasonal demand patterns, and team-level consumption behavior, while OR-Tools constraint optimization dynamically allocated licenses, reducing enterprise software licensing costs by 25% and improving license utilization by 22%.
- Owned production ML infrastructure supporting enterprise license allocation decisions; engineered Azure Databricks (PySpark) and Airflow pipelines processing 500K+ daily usage records, deployed Azure-based Docker inference services, and implemented MLflow model registry, automated drift monitoring, retraining pipelines, and SHAP explainability dashboards to enable reliable, scalable, and transparent ML operations.
- Built a predictive supply chain intelligence platform supporting procurement and operations teams across 10+ regions; processed 8M+ procurement and operational records and developed XGBoost predictive models integrating consumption patterns, supplier behavior, demand signals, and lead-time features, achieving 85% model accuracy through cross-validation while reducing material waste by 27% and over-ordering by 32%.
- Developed a procurement risk intelligence platform across 25+ supply categories; built automated risk scoring models using supplier reliability, demand volatility, inventory constraints, and purchasing behavior, reducing manual procurement analysis by 40% and enabling proactive supplier risk identification before sourcing decisions.
- Designed a secure enterprise knowledge retrieval platform indexing 300+ internal documents; implemented production RAG pipelines using Azure OpenAI, embedding-based retrieval, Pinecone vector indexing, hybrid search, and document-level access controls, enabling employees to query unstructured knowledge sources through natural language and reducing manual document search efforts.
- Optimized enterprise RAG performance through retrieval evaluation, embedding selection, document chunking strategies, and LLM response tuning; implemented evaluation workflows measuring precision@K, recall@K, and response faithfulness, improving retrieval precision and answer accuracy by 30% across knowledge management workflows.
- Engineered an autonomous Due Diligence Agent orchestrating multi-source web research and synthesizing financial risk, contract, and compliance assessments into structured PDF reports, replacing a manual workflow requiring 4+ analyst-hours per entity and accelerating investment review processes.
- Deployed secure RAG pipelines indexing 100+ confidential financial and business documents, enabling finance teams to perform natural language analysis over unstructured PDFs while maintaining document-level access controls, audit logging, and compliance requirements.
- Fine-tuned Llama models with QLoRA on domain-specific financial terminology, improving extraction accuracy by 15%; deployed optimized inference through FastAPI and production pipelines, reducing latency for financial analysis and reporting workflows.
- Designed a Financial Comparison Agent that benchmarks project and business performance metrics and automatically generates management reports, reducing manual comparison efforts by 60% for financial reviews and cross-functional stakeholder discussions.
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Executive
Linde Engineering India Pvt. Ltd. · Aug 2023 – Jul 2024
Skills 0 proven through work
Also works with
Databricks UsageQuery WritingPySparkPython DevelopmentData Discrepancy InvestigationTechnical TroubleshootingTechnical Solution DesignWork Planning and PrioritizationProblem SolvingProcess ImprovementRequirements AnalysisReceiving and Incorporating FeedbackApplication MonitoringModel Performance ImprovementMachine Learning Model DeploymentData EngineeringMachine Learning ApplicationWorking with Real-world DatasetsMLOps ImplementationExplainable AITrain-Test Split ValidationModel Metric Selection & InterpretationTabular Data Cleaning & ValidationWaste ReductionInventory ManagementRaw Material ProcurementStakeholder ManagementModel Error AnalysisTime Series Trend AnalysisVariable Data HandlingResource AllocationOperations ResearchLoss Function OptimizationK-Fold Cross-ValidationFeature EngineeringData TransformationXGBoost ModelingCost-Saving Initiative ManagementBusiness AnalysisMetadata-Driven Feature InterpretationForecastingLicensing AuditsSupply Chain AnalysisAI Platform Architecture Design
Proof of Work
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Education
Bachelor of Technology, Information Technology
Parul Institute of Engineering and Technology · 2019 — 2023
Contact details
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