Summary
Overview
Work History
Education
Skills
Timeline
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Simon Susmitha Kolapudi

Thousand Oaks

Summary

AI Engineer Intern with hands-on experience deploying LLaMA-based models, optimizing performance via quantization, and building prompt workflows using OpenAI and DeepSeek. Strong foundation in machine learning, NLP, and data pipelines (AWS Lambda, EC2). Proven track record delivering Power BI dashboards and Hadoop-based data preprocessing for enterprise clients.

Overview

7
7
years of professional experience

Work History

AI Engineer Intern

Lid Vizion LLC
11.2024 - Current
  • - Designed and deployed LLaMA-based AI models for trivia question generation from unstructured PDF data
  • - Fine-tuned and quantized large language models to optimize performance for CPU-based inference
  • - Developed scalable, cost-effective serverless infrastructure using AWS EC2, Lambda, S3, and Docker
  • - Built multi-layer Lambda pipelines for automated text extraction and model inference
  • - Led backend integration that reduced third-party API usage by 30%, cutting costs and enabling self-hosted AI

Data Analyst

Deloitte
08.2018 - 10.2022
  • - Created comprehensive Power BI reports from scratch for Hedge Funds Accounting and Treasury teams
  • - Utilized Hadoop MapReduce for effective data preprocessing, cleaning, and predictive analytics
  • - Developed interactive Power BI reports, leveraging advanced DAX features to enhance user engagement
  • Contract

Education

Master of Science -

California Lutheran University
Thousand Oaks, CA
05.2025

Skills

  • Technical Skills: Python (basic), SQL, Power BI, Hadoop MapReduce, AWS (Lambda, EC2, S3), Azure Synapse, Git, Docker
  • AI/ML Tools: OpenAI, LLaMA, DeepSeek, Prompt Engineering, Model Fine-tuning, Quantization

Timeline

AI Engineer Intern

Lid Vizion LLC
11.2024 - Current

Data Analyst

Deloitte
08.2018 - 10.2022

Master of Science -

California Lutheran University

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Simon Susmitha Kolapudi