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Vanditha Vinod

@vandithavinod

Message

I build production ML and GenAI systems that improve revenue, decisions, and operational speed.

India

Message

I've built and shipped ML, analytics, and GenAI systems across Toplyne, EY, and freelance enterprise engagements. My work has improved model-driven success rates by 2–6x, raised marketing ROI by 30–60%, and reduced onboarding from roughly 30 days to 3 days.

I build end-to-end predictive models, RAG platforms, and agentic workflows using Python, SQL, Spark, AWS, and MLOps tooling. Most recently, I delivered document AI and multi-agent systems that reduced sales-content creation from four hours to five minutes and document-query turnaround to under 30 seconds.

Experience

Work history, roles, and key accomplishments

Applied AI Engineer

Freelance

Jan 2026 - Jun 2026 (5 months)

Led delivery of an enterprise GenAI and agentic AI solution integrating SharePoint knowledge with Salesforce CRM data, reducing personalized UVP development from ~4 hours to ~5 minutes. Architected an intent-routing conversational agent and 7-stage multi-agent LangGraph workflow, and built a financial-services document AI/RAG platform using AWS Textract/PyMuPDF and hybrid retrieval.

GenAI Agentic AI RAG LangGraph Amazon Bedrock OpenSearch Langsmith AWS PyMuPDF CrossEncoder Sagemaker Hybrid Retrieval BM25 Dense Retrieval Prompt Engineering Multi agent workflows Intent Based Routing LLM Evaluation GuardRails

Senior AI/ML Risk Consultant

Mar 2025 - Sep 2025 (6 months)

Independently validated production ML/NLP and analytical models for a global investment manager with $7T+ AUM, assessing assumptions, data and implementation integrity, preprocessing/training pipelines, performance, stability, fairness, explainability and monitoring. Identified data leakage, bias, drift, performance degradation and control gaps and delivered audit-ready remediation recommendations

Python SQL Spark PySpark Model Validation Model Risk Management SR11 7 Data Leakage Detection Bias Detection Drift Detection Performance Monitoring Explainability Fairness Governance

Data Scientist Intern

Toplyne

Jan 2022 - Nov 2024 (2 years 10 months)

Built and shipped classification, churn/retention, revenue/LTV, propensity, segmentation and next-best-action models for 50+ B2B and 10+ D2C organizations, increasing model-driven success rates by 2–6x and improving marketing ROI by 30–60%. Developed 7/30/90-day revenue and conversion predictions across customer cohorts using regression/classification with historical snapshots and behavioral featu