Summary
Overview
Work History
Education
Skills
Certification
Hobbies and Interests
Projects
Accomplishments
Timeline
Generic

Sridhar Cheppala

Maryville

Summary

Motivated AI enthusiast pursuing a Master’s in Applied Computer Science with a focus on NLP and LLMs. Seeking a Generative AI Prompt Engineering Internship where I can apply and grow my skills in prompt design, content classification, and LLM-based content labeling while contributing to responsible AI at scale.

Overview

1
1
Certification

Work History

  • Developed and deployed AI-powered interview chatbot (PrepBot) using LangChain, Neo4j, OpenAI API, and Streamlit; integrated structured and unstructured retrieval pipelines for real-time Q&A.
  • Built Retrieval-Augmented Generation (RAG) applications with Hugging Face Transformers and LLM embeddings to enhance contextual understanding and content classification.
  • Conducted research on privacy risks in Conversational AI; proposed mitigation framework and published academic findings in a structured LaTeX report.
  • Designed prompt workflows for classification, summarization, and alignment tasks, aligned with industry standards for brand safety and responsible AI.
  • Leveraged tools such as Google Colab, LangChain, and Hugging Face to fine-tune LLM behavior and implement token-efficient, production-ready prompt pipelines.

Education

Master of Science - Applied Computer Science

Northwest Missouri State University
Maryville, MO
05.2025

Skills

  • Languages: Python, Java, C, C
  • Generative AI & NLP: Prompt Engineering, LangChain, OpenAI API, Hugging Face Transformers
  • Machine Learning: Scikit-learn, beginner-level model training & evaluation
  • Data Tools: SQL (MySQL), DBMS
  • Web Technologies: HTML5, CSS
  • Tools & Platforms: Git, VS Code, Jupyter Notebook, Google Colab
  • Soft Skills: Analytical Thinking, Cross-functional Collaboration, Critical Thinking

Certification

  • Generative AI: Introduction and Applications course from Coursera
  • Prompt Engineering basics from Coursera
  • Software Development Engineer – Application Developer, AWS Educate
  • Responsive Web Design, FreeCodeCamp
  • Database Programming with SQL, Oracle Academy
  • Java Fundamentals, Oracle Academy
  • Java Training, Spoken Tutorial

Hobbies and Interests

Strengths: Fast Learner, Detail-Oriented, Team Player, Independently Driven, Interests: Generative AI, Prompt Engineering, Content Moderation, Media Responsibility, Coding for Social Good

Projects

Prompt-Based Content Classifier (Self-Initiated | 2024 – Present), Goal: Built a lightweight LLM-powered system using LangChain and OpenAI GPT-4 API for classifying YouTube content into themes and suitability labels., 

- Designed and iteratively refined prompts to boost classification accuracy by 23%., 

- Implemented evaluation metrics to track model alignment with platform-specific taxonomies., 

- Simulated “client-facing” evaluations to align output with brand safety requirements., 

Online Voting System (Dec 2021), Goal: Developed a secure and scalable web-based voting system., 

- Built using HTML, CSS, and MySQL to simulate real-time online elections., 

- Created admin and voter dashboards, implemented basic encryption for secure ballots., 

- Explored safe content moderation logic for comments and announcements.

Accomplishments

  • Participated in CSI Hackathon – Collaborated on AI problem-solving challenges
  • Member, ACM Student Chapter – Regular participant in tech talks and workshops
  • Finalist – ATHLEMA Inter-College Sports Event (Teamwork and Discipline)

Timeline

Master of Science - Applied Computer Science

Northwest Missouri State University

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Sridhar Cheppala