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Contact Information

Name Aditya Oke
Professional Title Graduate Researcher
Email aoke@cs.cmu.edu
Location , Pittsburgh, Pennsylvania PA 15213

Professional Summary

MS student at CMU researching LLM safety, robustness, and interpretability for agentic and decision-making systems

Experience

  • 2025 - Present

    Pittsburgh, PA

    Graduate Researcher
    Carnegie Mellon University - Li Lab
    Working with Prof. Lei Li on LLM safety and robustness research
    • Investigating hallucination, attribution, and robustness of GPT-4, Gemini, and DeepSeek under distribution shift
    • Developing automatic and human-aligned evaluation frameworks for factuality and reasoning consistency
    • Conducting failure analysis in scientific text generation
  • 2022 - 2025

    Bengaluru, India

    Software Engineer II
    JPMorgan Chase & Co.
    Designed and deployed distributed systems for financial analytics and AI-driven tools
    • Built distributed Spark pipelines processing multi-terabyte financial datasets for real-time analytics
    • Developed Python services and AWS workflows for compliance, reporting, and internal AI tools
    • Migrated legacy systems to AWS cloud, improving reliability and reducing costs

Education

  • 2025 - 2027

    Pittsburgh, PA

    Master of Science
    Carnegie Mellon University
    Computational Data Science
    • LLM Methods and Applications, Machine Learning, Cloud Computing, LLM Systems
    • CGPA: 3.86/4.0
    • Focus on LLM safety, robustness, and interpretability
  • 2018 - 2022

    Vellore, India

    Bachelor of Technology
    Vellore Institute of Technology
    Computer Science and Engineering
    • CGPA: 9.20/10.0
    • Focus: Artificial Intelligence, Image Processing, Operating Systems, Distributed Systems

Research

Awards

  • 2025
    Corporate Tech Champion Award
    JPMorgan Chase

    Recognition for exceptional technical leadership and innovation

  • 2024
    Early Career Recognition Award
    JPMorgan Chase

    Outstanding performance in early career stage

  • 2023
    Engineering Excellence Award
    JPMorgan Chase

    Excellence in software engineering and system design

  • 2023
    Innovation Hackathon Winner
    JPMorgan Chase

    First place in internal innovation hackathon

Publications

  • 2026
    Sem-Detect: Semantic Level Detection of AI Generated Peer-Reviews
    Submitted to International Conference on Machine Learning (ICML)

    Developing methods to detect AI-generated peer reviews at semantic level

  • 2022
    A Novel Approach to Encrypt Data Using Deep Neural Networks
    Springer ICADCML

    Novel encryption methodology using deep learning techniques

  • 2021
    Real-time Face Mask Detection on Edge IoT Devices
    IET Computer Engineering

    Efficient face mask detection system for edge devices

  • 2022
    Deep Learning with PyTorch Lightning
    Packt Publishing

    Technical Reviewer for deep learning book

Skills

Machine Learning (Expert): PyTorch, Hugging Face Transformers, LoRA, PEFT, Fine-Tuning, Model Evaluation, LLM Safety
Programming (Expert): Python, C++, Java, SQL
Data & Systems (Expert): Apache Spark, AWS, Databricks, Docker, Kubernetes, Linux

Languages

English : Fluent

Interests

AI Safety: LLM Robustness, Hallucination Detection, Red-teaming, Adversarial Testing
Machine Learning Research: Model Interpretability, Factuality, Reasoning Consistency