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Aditya Reddy Gunda

Intern AI/ML & Data Engineer specializing in deep learning, NLP, and cloud data pipelines

TechMentee, Inc.Pittsburg State UniversityUSA1 Years ExperienceIntern Level

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About

AI/ML practitioner with production experience building a RAG-powered contextual customer support agent, optimizing for low latency using vector databases and smaller LLMs. Also deployed a fraud detection model on Kubernetes with auto-scaling for heavy transactional loads, and improved chatbot accuracy by 15% through metric-driven testing and evaluation. Partners with Marketing on personalization/recommendation initiatives with measurable outcomes tied to customer feedback.

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Key Strengths

  • Built and deployed a production RAG-based customer support chatbot
  • Performance optimization for LLM systems (improved speed via vector DB + smaller model)
  • Kubernetes-based deployment enabling auto-scaling for high-transaction fraud detection workloads
  • Reliability-focused AI development (clear goals, unit/integration testing, metric-driven evaluation)
  • Improved chatbot accuracy by 15% through iterative testing and latency targets
  • Pragmatic model/retrieval selection balancing speed, accuracy, and cost for private-document QA
  • Effective collaboration with non-technical stakeholders to define measurable success metrics

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Experience

Data Engineer InternTechMentee, Inc. · Oct 2025 – Presentinternship
AI Software EngineeriBroad Solutions · Jan 2024 – Jun 2024
Machine Learning InternIntrainz · Nov 2023 – Jan 2024internship

Education

Pittsburg State Universitybachelor, Computer Science – AI&ML (2025)

Languages

English

Certifications

AWS Cloud Foundations (Coursera)Data Analysis with Python (Coursera)Machine Learning in Production (Coursera)Malla Reddy University

Publications

2 publications

Brain tumor detection (medical imaging) using machine learningCredit card fraud detection using machine learning

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Connect with Aditya

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Typically responds within 24 hours

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Aditya Reddy GundaIntern AI/ML & Data Engineer specializing in deep learning, NLP, and cloud data pipelines