AI/ML Engineer — Available for Opportunities

Shreya
Tiwari

AI/ML Engineer with hands-on experience building RAG systems, LLM integration, and neural networks. Developed AI-powered applications with models achieving 97.4% accuracy.

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7.63GPA
2Internships
6+Projects
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01 — About

Building intelligent applications

AI/ML Engineer with hands-on experience building RAG systems, LLM integration, and neural networks. Experienced in developing AI-powered applications and ML models, including a medical Q&A assistant and models achieving 97.4% accuracy.

Currently pursuing B.Tech in AI & ML from Manipal University Jaipur (GPA: 7.63/10, Expected June 2027). Expertise in Python, TensorFlow, and full-stack development with practical exposure through internships at leading AI organizations.

Passionate about building production-grade AI systems, semantic search, prompt engineering, and translating research into real-world applications.

🇬🇧 English — Professional 🇮🇳 Hindi — Native 🇩🇪 German — Beginner (A1)
🎓
EducationB.Tech AI & ML · Manipal University Jaipur (Expected June 2027)
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LocationJaipur, India
✉️
Emailshreyatiwari0801@gmail.com
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Phone+91 9820601331
💼
LinkedInlinkedin.com/in/shreya-tiwari
👨‍💻
GitHubgithub.com/TiwariShreya05
02 — Skills

Technical expertise

🧠
AI & Machine Learning
RAG (Vector & Page Index) LLM Integration Neural Networks NLP TensorFlow & Keras scikit-learn Prompt Engineering Model Evaluation
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Programming & Data
Python JavaScript SQL pandas NumPy OpenCV
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Web & Deployment
React.js HTML & CSS Streamlit Firebase GitHub Pages
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Tools & Platforms
Git & GitHub VS Code Google Colab Jupyter
03 — Experience

Professional journey

May 2026 — Jul 2026
AI/ML Intern
Netweb Technologies India Ltd.
  • Contributed to the design and development of an AI-powered medical Q&A assistant using a hybrid RAG architecture combining vector-based and vectorless (Page Index) retrieval techniques.
  • Developed personalized, context-aware conversations by maintaining patient interaction history and implemented secure email-based user authentication and management.
  • Integrated and evaluated Gemini and Llama LLMs for medical question answering and information retrieval, with NLP-based query classification for intelligent routing and improved response relevance.
May 2024 — Jul 2024
AI/ML Intern
YBI Foundation
  • Built neural network classifier achieving 97.4% accuracy on Wisconsin Breast Cancer Dataset using TensorFlow/Keras.
  • Developed KNN-based recommendation system with model evaluation and feature optimization.
Jul 2025 — May 2026
Event Executive
Dev Forge
  • Collaborated with team members in planning and coordinating technical events, contributing to task allocation, preparation, and smooth execution.
  • Took ownership of responsibilities, coordinated with peers under deadlines, and contributed to problem-solving during event activities.
Jul 2024 — May 2025
Event Head
COSMOS
  • Led planning and execution of technical and cultural events for 200+ attendees; managed teams, timelines, and logistics.
04 — Projects

What I've built

01 ↗
RAG Gemini Llama NLP
Medical RAG Assistant
Developed a hybrid RAG system for medical question answering, combining vector-based and vectorless (Page Index) retrieval with Gemini and Llama LLM integration. Implemented multi-turn conversation context using patient interaction history and secure email-based authentication; applied NLP-based query classification for relevant retrieval.
🏥 Production Healthcare AI
 02 ↗
TensorFlow Keras Neural Networks
Breast Cancer Detection
Achieved 97.4% binary classification accuracy on Wisconsin Breast Cancer Dataset using TensorFlow/Keras neural network; applied feature scaling and preprocessing to optimize convergence.
⚡ 97.4% accuracy
 03 ↗
CNN TensorFlow OpenCV
Plant Disease Detection
Trained CNN on 5 plant disease classes using TensorFlow/Keras with image augmentation; implemented real-time leaf disease prediction with confusion matrix evaluation.
🍎 Multi-class classifier
 04 ↗
Linear Regression scikit-learn Python
Olympic Medal Predictor
Built Linear Regression model predicting Olympic medal counts; deployed as interactive app with sliders and country presets.
📊 Predictive model
 05 ↗
KNN Streamlit scikit-learn
Movie Recommendation Engine
Developed KNN-based personalized recommendation engine with Streamlit UI for tailored movie suggestions.
🎬 ML recommendations
 06 ↗
JavaScript HTML/CSS Game Dev
Code Quest: Wizard's Journey
Built fantasy-themed interactive coding game with multi-level progression and game state logic in vanilla JavaScript.
🧙 Gamified learning
05 — Education

Academic background

2023 — 2027
B.Tech — Artificial Intelligence & Machine Learning
Manipal University Jaipur
GPA: 7.63/10.0 (Expected June 2027)
2023
Class 12 — CBSE Board
CBSE
81%
2021
Class 10 — CBSE Board
CBSE
93.2%
06 — Certifications

Credentials & recognition

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AI/ML Internship Certificate
Netweb Technologies
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Deep Learning
NPTEL — IIT Ropar
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Introduction to Machine Learning
NPTEL
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Student Excellence Award
Manipal University Jaipur
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AI/ML Internship Certificate
YBI Foundation
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Database Programming with SQL
Oracle
🐍
Python Essentials 1 & 2
Cisco
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Data Structures & Algorithms Lab
CodeChef
07 — Contact

Let's collaborate on AI projects

Open to internships, full-time roles, and meaningful AI/ML collaborations.

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