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AI/ML engineer with 8 years of experience across machine learning engineering, AI engineering, statistics, operations research, and data engineering, with domain expertise in Finance, Healthcare, and Supply Chain. Strong in descriptive, predictive, and prescriptive analytics, delivering decision-support solutions. Experienced in end-to-end ML lifecycle management (MLflow, model registry, monitoring, drift detection), modern AI engineering with LLMs/agentic workflows (LangChain/LangGraph), and large-scale data processing with Spark/Databricks. Databricks certified in Generative AI Engineering and Data Engineering, with hands-on RAG architecture design and scalable ETL/CDC pipelines.…AI/ML engineer with 8 years of experience across machine learning engineering, AI engineering, statistics, operations research, and data engineering, with domain expertise in Finance, Healthcare, and Supply Chain. Strong in descriptive, predictive, and prescriptive analytics, delivering decision-support solutions. Experienced in end-to-end ML lifecycle management (MLflow, model registry, monitoring, drift detection), modern AI engineering with LLMs/agentic workflows (LangChain/LangGraph), and large-scale data processing with Spark/Databricks. Databricks certified in Generative AI Engineering and Data Engineering, with hands-on RAG architecture design and scalable ETL/CDC pipelines.

Prasanna K

AI Engineer, Data Scientist, Data Engineer

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AI/ML engineer with 8 years of experience across machine learning engineering, AI engineering, statistics, operations research, and data engineering, with domain expertise in Finance, Healthcare, and Supply Chain. Strong in descriptive, predictive, and prescriptive analytics, delivering decision-support solutions. Experienced in end-to-end ML lifecycle management (MLflow, model registry, monitoring, drift detection), modern AI engineering with LLMs/agentic workflows (LangChain/LangGraph), and large-scale data processing with Spark/Databricks. Databricks certified in Generative AI Engineering and Data Engineering, with hands-on RAG architecture design and scalable ETL/CDC pipelines.…AI/ML engineer with 8 years of experience across machine learning engineering, AI engineering, statistics, operations research, and data engineering, with domain expertise in Finance, Healthcare, and Supply Chain. Strong in descriptive, predictive, and prescriptive analytics, delivering decision-support solutions. Experienced in end-to-end ML lifecycle management (MLflow, model registry, monitoring, drift detection), modern AI engineering with LLMs/agentic workflows (LangChain/LangGraph), and large-scale data processing with Spark/Databricks. Databricks certified in Generative AI Engineering and Data Engineering, with hands-on RAG architecture design and scalable ETL/CDC pipelines.

Available to hire

AI/ML engineer with 8 years of experience across machine learning engineering, AI engineering, statistics, operations research, and data engineering, with domain expertise in Finance, Healthcare, and Supply Chain. Strong in descriptive, predictive, and prescriptive analytics, delivering decision-support solutions.

Experienced in end-to-end ML lifecycle management (MLflow, model registry, monitoring, drift detection), modern AI engineering with LLMs/agentic workflows (LangChain/LangGraph), and large-scale data processing with Spark/Databricks. Databricks certified in Generative AI Engineering and Data Engineering, with hands-on RAG architecture design and scalable ETL/CDC pipelines.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior AI / ML Engineer at Brambles

July 1, 2023 - Present

Built an end-to-end Supplier Risk Intelligence program on GCP/Databricks using a multi-agent LangGraph to monitor supplier risks across financial, geopolitical, ESG, and operational dimensions. Designed multi-source ingestion pipelines using Pub/Sub and Cloud Composer from news and financial/trade feeds, feeding an anomaly detection layer that triggers autonomous agent workflows. Engineered LangGraph sub-agents using LangChain tool-calling with Vertex AI Gemini to extract entities, classify severity, and synthesize structured risk narratives, then a synthesis/action agent to produce human-readable risk briefs and trigger procurement actions in SAP via Cloud Run REST API. Implemented a Databricks medallion architecture with a versioned feature store supporting a daily XGBoost risk scoring model tracked via MLflow. Also delivered optimization and ML products including a multi-period MILP via Pyomo to recommend network changes and improved operational readiness scoring using Random Forest

Senior AI/ML Engineer at Brambles

July 1, 2023 - Present

Built an end-to-end Supplier Risk Intelligence program on GCP/Databricks, orchestrating multi-agent LangGraph workflows for cross-domain risk signals, implementing a medallion feature store with time-series features, and deploying a risk scoring model (XGBoost) with MLflow tracking. Delivered autonomous synthesis of risk briefs and procurement actions via SAP integration, reducing investigation time.

Senior Data Scientist at EmblemHealth

January 1, 2022 - June 1, 2023

Developed logistic regression and churn analysis frameworks to classify claimant regions and predict risk, enabling targeted marketing and portfolio optimization. Built a unified Power BI dashboard for executive visibility and optimized data workflows across AWS Redshift/S3. Performed query optimization and data quality validation to ensure KPI consistency.

Data Science Analyst at SoftSol Technologies

August 1, 2019 - December 31, 2020

Implemented supervised NLP workbasket classification by extracting features from complaint ticket text using TF-IDF and training models (e.g., Multinomial Naïve Bayes) to classify complaint categories and route them to appropriate medical support representatives. Prototyped a Python-based simulator to optimize models and reduce medical product unavailability and shipment delays. Built dashboards in Tableau and performed analytical support using Postgres SQL over medical product order fulfillment datasets, integrating ML outputs into reporting and operational analytics.

Data Scientist at SoftSol Technologies

August 1, 2019 - December 1, 2020

Led NLP/text classification experiments (TF-IDF → Multinomial Naive Bayes) for customer complaint routing; prototyped production-ready Python models and a simulator to reduce medical product unavailability. Built Tableau dashboards and integrated Postgres-based datasets for analytical support.

Operations Research Analyst / Data Analyst at ORMAE

June 1, 2017 - July 31, 2019

Assisted with operations research prototyping for multi-objective vehicle routing with time windows using heuristic and meta-heuristic approaches. Curated and analyzed airport gate-routing and baggage delivery datasets and developed heuristic goal programming frameworks to minimize flight delays from finite-capacity baggage handling vehicles. Built and optimized Binary Linear Programming (BLP) models in Python using Gurobi to select gate-routing solutions from a Pareto-efficient pool, and designed evaluation heuristics using utopia/nadir point concepts. Produced Power BI dashboards for operational KPIs and documented models using LaTeX/Overleaf. As a Data Analyst, supported SKU-based KPI tracking and dashboard modeling, performed what-if analysis and forecasting impact evaluation for business initiatives.

Data Analytics Consultant at ORMAE

June 1, 2017 - July 1, 2019

Designed rule-based heuristic flows and supported data modeling for KPI dashboards; performed performance analysis and scenario evaluation to guide operational decisions in air/airport logistics contexts.

Operations Research Analyst at ORMAE

June 1, 2017 - July 1, 2019

Prototyped gaps in client OR models, developed multi-objective heuristic and meta-heuristic approaches, and built Binary Linear Programming models using Gurobi to optimize gate-routing and baggage handling under capacity constraints. Designed decision-support dashboards and documented reproducible experiments.