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Hello, I'm

Riya Raut

Artificial Intelligence Engineer

My LinkedIn profile My Github profile

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About Me

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Experience

3+ years
AI Development

1x
AWS Certified

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Education

MIT ADT University (B.Tech. Computer Science)

Binghamton University (M.S. Computer Science)

Hi, I’m Riya! A passionate tech explorer who loves diving deep into the world of AI, machine learning, and cutting-edge technologies. Whether I’m building recommendation engines, exploring cloud solutions, or crafting seamless software solutions I’m always on the hunt for the next big thing. When I’m not immersed in code, you can find me whipping up delicious meals, dancing to my favorite tunes, or losing myself in a good painting session. Let's connect and create something amazing together!

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Explore My

Skills

Programming Languages

C

C++

Python

Java

R

Databases

PostgreSQL

MySQL

MongoDB

Neo4j

Vector DB

Pinecone

AI Tools

Gen AI

Prompt Engg.

Langchain

RAG

K Graphs

Pinecone

ML Tools

Pandas

Numpy

Tensorflow

HuggingFace

Pytorch

OpenCV

Data Visualisation Tools

SciKit Learn

Plotly

Matplotlib

Seaborn

GGplot

Tableau

Web Technologies

HTML

CSS

JavaScript

Django

React.js

AWS

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My Recent

Work Experience





AI Engineering Intern

Virtusa, Milpitas, CA | Jun 2024 – Aug 2024

  • Published a White Paper and led a project on Advertisement Localization using Generative AI tools like LangChain, OpenAI API, and Prompt Engineering to tailor content for regional demographics, utilizing Gradio for the front-end.
  • Engineered Recommendation Systems utilizing Hybrid Filtering techniques: integrating Clustering algorithms and LLMs for enhanced personalization, and leveraging Neo4j Knowledge Graphs and LLMs to model complex data relationships. Visualized data using Plotly, resulting in improved recommendation accuracy.
  • Analyzed and pre-processed large datasets using NumPy and Pandas, performing detailed Statistical Analysis.


Machine Learning Intern

Kanverse.AI, Pune, India | Jan 2023 – Jul 2023

  • Implemented advanced similarity search algorithms using Pinecone Vector Database, improving retrieval accuracy and processing speed for large accounting datasets.
  • Analyzed and visualized data from JSON files generated through PDF annotations across a database of over 10,000 documents, utilizing Python, NumPy, Pandas, and Plotly to derive strategic insights.
  • Developed a YOLOv5-based Semantic Segmentation model for automated insurance claims to assess car damage, enabling efficient and fair insurance payouts based on documentation.


Machine Learning Researcher

Indian Council of Agricultural Research, Pune, India | Nov 2021 – Jan 2023

  • Developed advanced CNN and Mask R-CNN models using TensorFlow for early detection of grape crop diseases, increasing yields by 30-40%.
  • Led a research initiative focused on AI-driven solutions for sustainable agriculture through early disease detection.


Data Analyst Trainee

WNS Global Services, Pune, India | Aug 2021 – Oct 2021

  • Contributed to in-house machine learning projects, optimizing data processes using Python, Pandas, and SQL, resulting in measurable project improvements.
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