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Hi, my name is

Venkata Sai Rohith Andanala

AI/ML Engineer

I build Production-Ready AI Systems that Drive Business Impact, specializing in Scalable Predictive Modeling, MLOps, and Agentic AI solutions across Healthcare and Enterprise IT.

Explore My Case StudiesInteract with Agent
12%

Risk Reduction

20%

Accuracy (Clinical AI)

15%

Improved Returns

Experience & Education

My journey architecting high-impact clinical AI and scalable financial models.

Work History

Jun 2024 – Current

AI/ML Engineer

Bank of America

  • Production-grade AI pipelines and MLOps using Docker and Kubernetes for intelligent decision automation.
  • Optimized asset allocation using Reinforcement Learning and Genetic Algorithms, reducing risk by 12%.

Oct 2021 – Jul 2023

AI/ML Engineer

Capgemini

  • Data Interoperability: Built secure pipelines for EPIC integration using FHIR and HL7 standards.
  • ETL Engineering: Designed high-throughput medical data processing exclusively using Google Cloud Dataflow.
  • Production AI: Deployed clinical decision support models on Vertex AI, focused on patient risk stratification.

Mar 2021 – Sep 2021

AI/ML Engineer INTERN

SoftAge Group

  • Predicted IT job failures using LSTM-based forecasting and Isolation Forest models in TensorFlow.
  • Processed over 10M daily telemetry logs with PySpark to derive operational features for anomaly detection.

Education

2023-2024

Master of Computer Science

Sacred Heart University, USA

2017-2021

Bachelor of Metallurgical and Materials Science

MGIT, India

Technical Expertise

Full-lifecycle engineering from clinical data standards to production GenAI deployment.

Healthcare & AI

  • ▸▸ Standards: FHIR, HL7, EPIC
  • ▸▸ ML Stack: Vertex AI, PyTorch
  • ▸▸ GenAI: Agentic AI, Gemini, RAG
  • ▸▸ Logic: LangChain, Multi-agent

Core Engineering

  • ▸▸ ETL: Google Cloud Dataflow
  • ▸▸ MLOps: Kubeflow, MLflow, CI/CD
  • ▸▸ Cloud: GKE, Cloud Run, Cloud Build
  • ▸▸ Data: BigQuery, SQL, Spark

Projects

A showcase of my hands-on technical projects, from end-to-end MLOps pipelines to generative AI models.

Healthcare Interoperability
Healthcare AI

Bridging the gap between legacy EPIC systems and modern AI using FHIR-compliant Dataflow pipelines.

Vertex AI
Dataflow
FHIR
EPIC
Portfolio Optimization
MLOps End-to-End

Reinforcement Learning for dynamic asset rebalancing and portfolio management.

SageMaker
Docker
Kubernetes
RL
Agentic AI Systems
Generative AI

Designing multi-agent workflows to automate enterprise data processing and document intelligence.

Agentic AI
LLM
Multi-agent

Case Studies

Explore my production-grade case studies to see how I solve complex business problems with data-driven AI solutions.

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Portfolio Optimization
15% Return Increase
12% reduction in portfolio risk.

Production-grade AI pipelines and MLOps using Docker and Kubernetes for intelligent decision automation.

View Full Case Study
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Disease Prediction
20% Accuracy Boost
Improved early detection rates using Vertex AI clinical risk stratification.

Architected clinical risk stratification models on Vertex AI and integrated EPIC EHR data using FHIR and HL7 protocols.

View Full Case Study

Ready to Scale Your AI Strategy? Let's Connect.

West Haven, CT

+1 (203) 285-3970 rohitha5241@gmail.com
LinkedInGitHub

RAG Assistant API Endpoint & Test

curl -X POST "https://app.therohithandanala.in/api/query" -H "Content-Type: application/json" -d '{"question": "What was Rohith’s impact at Bank of America?"}'

Response Preview:

"Rohith reduced portfolio risk by 12% and improved returns by 15% using Monte Carlo simulations."