Mounika Dadi

B.S. Computer Science — University of Illinois at Urbana-Champaign|·

I'm a product-and-operations-focused engineer who thrives at the intersection of AI innovation and real-world impact. With experience leading enterprise AI platforms at JPMorgan Chase, I specialize in building 0→1 AI-driven tools — from agentic RAG workflows and LLM-powered chatbots to scalable cloud-native systems. I've led cross-functional teams to ship products serving 80,000+ users, designed data pipelines that automate hundreds of daily regression tests, and shaped platform roadmaps grounded in user feedback and business value. My work spans the full stack of applied AI: model fine-tuning, embedding store architecture, MLOps, and responsible AI governance. I bring a builder's mindset to every problem — combining deep technical skills with product strategy, stakeholder alignment, and data-driven storytelling to deliver measurable outcomes.

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Years Experience

Experience

01

JPMorgan Chase & Co.

Aug 2023 – Aug 2025

Head of Data Quality & Generative AI Enablement for AIOPS LLM Suite

  • Led end-to-end development of enterprise AI chatbot serving 80,000+ AIOps users, driving 44% increase in employee productivity
  • Designed and deployed agentic RAG workflows orchestrating LLMs across distributed datasets
  • Fine-tuned and evaluated GPT-based models using OpenAI infrastructure for accuracy, relevance, and reliability
  • Built and scaled Apache Airflow pipelines automating 300+ daily regression tests across model updates
  • Architected embedding store design, vector management, and AWS data pipeline integrations for knowledge retrieval
  • Led cross-functional alignment across product, infrastructure, and risk teams for compliance and business value
  • Analyzed chatbot metrics (latency, engagement, resolution rates) to detect performance drift and drive improvements
  • Shaped platform roadmap using user feedback, adoption data, and risk considerations
Python
LLMs
RAG
Agentic AI
OpenAI
Apache Airflow
AWS
Vector Databases
Prompt Engineering
Docker
Grafana
CI/CD
Kubernetes
SQL
Pandas
Stakeholder Alignment
Product Strategy
A/B Testing
02

JPMorgan Chase & Co.

Jun 2022 – Dec 2022

Software Engineer Intern

  • Designed and tested predictive models for risk evaluation in insurance domain
  • Collaborated with product managers to translate model outputs into actionable business strategies
  • Rapidly adapted technical approaches to insurance-specific data and regulatory requirements
  • Prototyped solutions iteratively based on stakeholder feedback
Python
Machine Learning
Scikit-learn
Pandas
NumPy
SQL
Predictive Analytics
Jupyter Notebooks
Data Visualization
03

State Farm

Aug 2021 – May 2022

Software Engineer Intern

  • Built predictive models using regression, forecasting, and machine learning techniques
  • Assessed risk and financial needs for insurance products using ML pipelines
  • Developed innovative methods to enhance insurance product pricing accuracy
Python
Machine Learning
Scikit-learn
Pandas
Regression Analysis
Time Series Forecasting
SQL
Feature Engineering
04

American Family Insurance

May 2021 – Aug 2021

Software Engineer Intern

  • Built application connecting homeowners with contractors for home repair assessments
  • Programmed multiple AWS Lambda functions for serverless application backend
  • Managed API Gateway infrastructure and maintained servers using Terraform
  • Designed and maintained PostgreSQL database layer with Lambda integrations
AWS Lambda
API Gateway
Terraform
PostgreSQL
Python
Node.js
REST APIs
Infrastructure as Code
Git
05

Trauma and Resilience Initiative Inc.

Sep 2020 – Dec 2020

Web Development Intern

  • Contributed to building and maintaining the organization's main website
  • Collaborated with team on frontend development and content management
HTML
CSS
JavaScript
CMS
Responsive Design
Git

Skills

AI & Machine Learning

Machine Learning
Generative AI
LLMs
Agentic AI
NLP
RAG
RLHF
Predictive Analytics
Feature Engineering
Model Optimization
Responsible AI
Prompt Engineering
MCP

Cloud & Infrastructure

AWS
GCP
Azure
Kubernetes
Docker
Terraform
MLOps
CI/CD
REST APIs
Containerization
Cloud Cost Optimization

Programming & Data

Python
Java
JavaScript
Node.js
SQL
Linux
Pandas
NumPy
Scikit-learn
TensorFlow
PyTorch
Hadoop

Observability & Tooling

Grafana
Prometheus
Apache Airflow
Monitoring & Dashboards

Tools & Workflow

Git
GitHub
Jira
Confluence
Agile/Scrum
Postman
VS Code

Leadership & Strategy

Cross-functional Collaboration
Stakeholder Alignment
Product Strategy
Technical Leadership
Mentorship
Data-Driven Storytelling
AI Governance (NIST, ISO, EU)

Projects & Certifications

Agentic AI Product Management Tool

2025
  • Built AI-powered PM assistant automating task tracking, issue detection, and progress reporting
  • Designed role-specific dashboards for engineers, designers, and executives
  • Integrated LLMs with project data sources for real-time recommendations and blocker resolution
  • Independently scoped, prototyped, and launched — demonstrating 0→1 execution
LLMsAgentic AIDashboard DesignReal-time Data Integration

AutoCoder — Intelligent Coding Platform

2025
  • Built a coding platform with adaptive hints, debug feedback, and personalized problem recommendations
  • Implemented semantic matching using OpenAI embeddings + ChromaDB for problem suggestions
  • Multi-language code execution via Judge0 sandboxed environment
Next.jsFastAPIPostgreSQLJudge0OpenAI EmbeddingsChromaDB

Certifications

N

Building RAG Agents with LLMs

NVIDIA·2025
A

AWS Certified Cloud Practitioner

Amazon Web Services·2023

Education

University of Illinois at Urbana-Champaign

B.S. Computer Science

Grainger College of Engineering

Get in Touch

I'm always open to discussing new opportunities and AI projects. Feel free to reach out.

mounika.dadi.work@gmail.comLinkedIn
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