May 2023 – Present · 3 yrs 1 mo · Hybrid

• Guardian Agents – Trustworthy AI Monitoring Framework | Banking Client
• Led the architecture and implementation of a governance framework overseeing multi-agent AI systems in a regulated banking environment. Built supervisory mechanisms to monitor agent interactions, validate response accuracy, and detect hallucinations, bias, and compliance risks. Designed scalable observability pipelines enabling real-time monitoring, auditability, and regulatory reporting.
• Autonomous Proposal Response Platform | Manufacturing Enterprise
• Led end-to-end development of a RAG-based proposal automation system to accelerate enterprise RFP responses. Architected vector-based retrieval and LLM-driven generation workflows, reducing manual effort and improving turnaround time.
• Contributed to converting the PoC into a production engagement, supporting a multi-million-dollar commercial opportunity.
• AI-Driven Tax & Payroll Chatbot | Internal Enterprise Platform
• Directed development of a conversational AI solution enabling natural language access to payroll and tax insights. Designed contextual retrieval and LLM response pipelines, significantly reducing insight turnaround time and increasing self-service analytics adoption.
• Enterprise Finance Forecasting Platform
• Led transformation of Excel-based forecasting into a scalable ML-driven engine supporting 600+ teams. Designed time-series and predictive modeling strategies that improved forecast accuracy and reduced reporting cycle time from days to minutes. Partnered with engineering and finance to integrate outputs into enterprise planning systems.
• Fixed Income Knowledge Graph | Asset Management Client
• Led a proof-of-concept using knowledge graph modeling to streamline data lineage tracking across complex fixed-income instruments, enabling faster discrepancy resolution and reducing SME dependency.

Jun 2020 – May 2023 · 2 yrs 11 mos · Hybrid

• Delivered machine learning and advanced analytics solutions across healthcare and consumer domains, contributing to model design, validation, and deployment in client-facing engagements. Owned core components of end-to-end model development, partnering with stakeholders to translate business requirements into scalable predictive frameworks.
• Insurance Fraud Detection | US Medicare Insurance Provider
• Contributed to the development of machine learning models to detect and classify fraudulent healthcare providers using supervised and unsupervised techniques including Logistic Regression, Random Forest, Gradient Boosting, SVM, and clustering methods.
• Performed feature engineering, model evaluation, and validation to improve fraud detection accuracy and robustness across diverse provider profiles.
• Collaborated directly with client stakeholders to interpret model outputs and deliver explainable insights supporting regulatory transparency and investigative workflows.
• Demand Estimation & Forecasting | US Nutrition & Weight Loss Company
• Designed and implemented time-series forecasting models to predict supply chain and financial performance metrics across 150+ products and 14 key business indicators.
• Conducted exploratory data analysis and applied SARIMAX, Prophet, ETS, and linear regression models to generate reliable demand forecasts.
• Worked closely with client teams to operationalize forecasting outputs for planning and financial decision-making

Feb 2018 – May 2020 · 2 yrs 3 mos · Hybrid

• Delivered advanced statistical and machine learning solutions to address enterprise staffing, forecasting, and performance optimization challenges across industries.
• Staffing Recommendation System | Large Audit Firm
• Worked on a recommendation engine to optimize project staffing based on required competencies and historical allocation data. Applied a matrix-completion approach to infer skill alignment and implemented a heuristic scheduling algorithm to incorporate employee availability and project timelines, enabling more efficient and data-driven resource allocation.
• New Product Demand Forecasting | Market Leader in Lighting Industry
• Contributed to the design and implementation of a forecasting framework supporting pre-launch and early post-launch product planning. Applied diffusion modeling and time-series techniques to estimate adoption patterns and demand trajectories, enabling more informed investment and inventory planning.
• Prioritization & Predictive Model | International Hotel Group
• Played a key role in developing a predictive analytics framework to identify high-impact operational levers for improving Net Promoter Score (NPS). Built models to cluster similar properties, estimate NPS uplift from operational changes, and evaluate potential ROI impact using ensemble modeling and dimensionality reduction techniques.