Hello, I'm Amogh :)

Computer Science M.S. student at Arizona State University with 2 years at IBM building production-grade software, cloud, data, and AI systems. My work spans backend engineering, full-stack development, databases, and intelligent workflows shaped for real deployment. Currently working as an AI Software Engineer at Arizona State University.

3.94

Arizona State University M.S. GPA

20+

production-grade applications delivered

~80%

reduction in manual document retrieval time

~30%

estimated infrastructure and inference cost reduction

Built and shipped.

Enterprise RAG, fine-tuning, federated learning on AWS and robotics.

01 · IBM · 2023-2025

Enterprise RAG & Agentic AI Platforms

Retrieval-augmented generation pipelines across large document repositories, plus agentic workflows for enterprise use cases.

~80%Faster doc retrieval
  • WatsonX
  • Elasticsearch
  • LangGraph
  • CrewAI
  • +2
02 · IBM · 2024-2025
~30%Lower est. inference cost

Granite Fine-Tuning & Inference Optimization

PEFT and LoRA tuning of IBM Granite models with evaluation loops and lifecycle optimization.

  • PEFT / LoRA
  • Evaluation
  • A/B Testing
03 · ASU CSE 546 · Spring 2026
97.39%Accuracy · 5 federated rounds

Federated Learning on AWS

Two-phase private training across AWS and simulated edge devices.

  • Lambda
  • Greengrass
  • MQTT
  • +3
04 · AI Course Project

Autonomous Robot Path Planning & RL

BFS, UCS, GBFS and A* benchmarked under identical ROS conditions, then a Q-learning agent for autonomous delivery.

Faster, more stable convergence.

  • ROS
  • A*
  • Q-Learning
  • Benchmarking

Kind words.

Recommendations from people I've worked with at IBM and beyond. See them on LinkedIn

Resume and Journey

Preview of Amogh Ranavade's current resume