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Rohith Andanala

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 Generative AI solutions across Healthcare and Enterprise IT.

Explore My Case Studies

Want to know more about me!

12%

Risk Reduction (Portfolio Mgmt)

92%

Data Accuracy (Doc Intelligence)

15%

Improved Returns (Trading Algo)

Experience & Education

My professional journey and academic background in computer science and machine learning.

Work History

Jun 2024 – Current

AI/ML Engineer

Bank of America

  • Developed a portfolio optimization system using Reinforcement Learning and Genetic Algorithms. Improved returns by 15% and reduced risk by 12% through Monte Carlo simulations.

Oct 2021 – Jul 2023

AI/ML Engineer

Capgemini

  • Created a predictive analytics platform for chronic diseases. Enhanced prediction accuracy by 20% using Keras and PyTorch.

Mar 2021 – Sep 2021

AI/ML Engineer INTERN

SoftAge Group

  • Predicted IT job failures using LSTM-based forecasting and Isolation Forest models in TensorFlow.

Education

2023-2024

Master of Computer Science

Sacred Heart University, Connecticut, USA

2017-2021

Bachelor of Metallurgical and Materials Science

Mahatma Gandhi Institution of Technology, India

Technical Skills

My expertise spans across the entire machine learning lifecycle, from data engineering to deployment and beyond.

Cloud & MLOps

  • ▸AWS: SageMaker, Lambda, EC2
  • ▸Tools: Docker, Kubernetes, MLflow
  • ▸Data: Spark, Kafka, SQL

AI & Deep Learning

  • ▸Models: CNN, RNN, Transformers, GANs
  • ▸Frameworks: PyTorch, TensorFlow, Keras
  • ▸GenAI: Agentic AI, Multi-agent workflows

Projects

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

IT Operations Anomaly Detection
MLOps End-to-End

Processed over 10M daily telemetry logs with PySpark to derive operational features for anomaly detection.

PySpark
SQL
LSTM
Isolation Forest
TensorFlow
Agentic AI Systems
Generative AI

Expertise in designing and deploying agentic AI and LLM-driven applications using frameworks for multi-agent workflows to enhance automation.

Agentic AI
LLM
Multi-agent workflows
Computer Vision Diagnostics
Computer Vision

Applied CNNs and transformers for complex image classification and object detection using OpenCV and YOLO.

CNNs
Transformers
OpenCV
YOLO

Case Studies

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

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

Leveraged Bayesian Optimization and Genetic Algorithms for high-dimensional asset allocation.

View Full Case Study
Thumbnail for Disease Prediction
Disease Prediction
20% Accuracy Boost
Improved early detection rates.

Utilized GANs to generate synthetic medical images to train models when real-world labeled data was scarce.

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."