SRM Institute of Science and Technology

Hi, I'm
Rahul Kumar Purbey

I am a

Computer Science Engineering undergraduate with a strong passion for Artificial Intelligence, Machine Learning, and Data Science. I enjoy building intelligent applications that solve real-world problems through data and modern software engineering.

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Rahul Kumar Purbey Profile Photo
Specialization AI & RAG Systems
Core Tech Python & ML
Get to Know Me

About Me

Rahul Kumar Purbey Engineering Workspace

I'm a Computer Science Engineering undergraduate at SRM Institute of Science and Technology with a strong interest in Artificial Intelligence, Machine Learning, Data Science, and Software Engineering. Through academic projects and internships, I've gained hands-on experience building AI-powered applications, machine learning models, and data-driven solutions. I'm continuously expanding my skills while working toward a career as an AI/ML Engineer.

Areas of Interest

🤖 Artificial Intelligence
🧠 Machine Learning
📊 Data Science
📈 Predictive Analytics
📉 Data Visualization
📚 Deep Learning
💬 Natural Language Processing
👁️ Computer Vision
☁️ Cloud Computing
🚀 MLOps

What I'm Currently Learning

Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) LangChain Docker AWS MLOps
0
AI & Web Projects
0
DSA Problems
2027
Graduation Year

My Mission

My mission is to leverage Artificial Intelligence and Data Science to solve real-world challenges. I strive to build scalable, reliable, and intelligent applications while continuously improving my technical skills and contributing to innovative projects.

My Philosophy

"Technology has the power to solve meaningful problems. I believe continuous learning, curiosity, and persistence are the keys to becoming a better engineer every day."

Career Objective

My objective is to begin my career as an AI/ML Engineer or Data Scientist where I can apply my knowledge, contribute to impactful projects, and continue learning emerging technologies in Artificial Intelligence.

Academic Journey

Education Timeline

Expected Graduation: May 2027

SRM Institute of Science and Technology

B.Tech in Computer Science Engineering

Focusing on Data Structures, Algorithms, Artificial Intelligence, Machine Learning, Database Management, Operating Systems, and Distributed Computing.

B.Tech CSE AI & Data Science Software Engineering
Completed: August 2022

Sagarmatha English Boarding School

+2 Computer Science

Completed Higher Secondary Education with a major focus on Mathematics, Computer Science, and Physics.

+2 Science Computer Fundamentals Mathematics
Completed: July 2020

Times School

SEE (Secondary Education Examination - Science)

Completed Secondary Schooling with distinction in Science and Analytical Mathematics.

SEE Distinction Science Major
Technical Proficiency

Technologies I Work With

Languages

Python
C++
Java
SQL

AI & Data Science

Machine Learning
Scikit-learn
Pandas
NumPy
TensorFlow
OpenCV

Web

HTML
CSS
JavaScript
Bootstrap

Tools

Git
GitHub
VS Code
Jupyter
Google Colab
Core Strengths & Value

Why Work With Me

Strong problem-solving mindset
Passion for continuous learning
Quick adaptability to new technologies
Interest in AI research and innovation
Team player with good communication skills
Work History

Professional Experience

Latest Experience
Gaura Nitai Technologies Logo

Data Science & AI Intern

Gaura Nitai Technologies
May 2026 – August 2026 (3 Months)
Mode: Hybrid Bengaluru, Karnataka Domain: Speech AI & Multilingual NLP

During my internship as a Data Science & AI Intern, I worked on machine learning workflows, data preprocessing, exploratory data analysis, and predictive modelling. The experience strengthened my understanding of real-world AI applications, teamwork, and problem-solving.

Key Responsibilities & Achievements:

  • Contributed to an industry-oriented multilingual AI speech data project.
  • Coordinated with native speakers from multiple countries for multilingual speech data collection.
  • Performed audio validation and quality assurance for speech datasets.
  • Assisted in dataset preparation, cleaning, and validation for AI and Machine Learning applications.
  • Collaborated with cross-functional teams to ensure high-quality multilingual datasets.
  • Worked on AI voice recognition and language translation datasets.
  • Demonstrated analytical thinking, teamwork, professionalism, and effective communication throughout the internship.
Artificial Intelligence Machine Learning Speech Data Processing Multilingual AI Data Validation Quality Assurance Dataset Preparation Python Data Analysis Team Collaboration
Company Website View Certificate

Data Science Intern

Artistic Impression
May 2024 – August 2024

During my internship at Artistic Impression, I spearheaded key data science initiatives, transforming raw analytics into high-impact operational dashboards and actionable business insights.

Key Responsibilities & Achievements:

  • Performed exploratory data analysis (EDA) on large-scale datasets using Python and SQL.
  • Engineered robust data cleaning, normalization, and preprocessing pipelines to ensure high data integrity.
  • Designed and published interactive visualization dashboards using Matplotlib, Seaborn, and SQL queries.
  • Collaborated cross-functionally with team members to deliver strategic data-driven business insights.
Python SQL Data Analytics Preprocessing Visualization Business Intelligence
Featured Work

Selected Projects

Here are some of the projects that showcase my journey in Artificial Intelligence, Machine Learning, Data Science, and Software Development. Each project reflects my passion for solving practical problems through technology.

GigInsure - AI-powered Parametric Income Protection

GigInsure — AI-Powered Parametric Income Protection

Developed an AI-powered parametric insurance platform during the Guidewire Hackathon to protect 12+ million gig delivery workers from climate-driven income loss with automated, paperless claim payouts.

  • AI Premium & Fraud Models: Dynamic premium calculation via Random Forest & automated ML fraud detection using Logistic Regression.
  • Parametric Trigger Engine: Automated claim generation based on real-time weather, AQI, heat, flood, and zone restriction thresholds via OpenWeatherMap API.
  • Instant Payouts & Analytics: Razorpay integration for automated payouts, paired with an admin risk monitoring & disruption simulation dashboard.
React TypeScript Tailwind CSS FastAPI Python Scikit-Learn OpenWeatherMap Razorpay
GitHub Code Live Demo
Hybrid AQI Forecasting System using LSTM & Transformer

Hybrid AQI Forecasting System using LSTM & Transformer

Engineered a deep learning time-series forecasting platform combining LSTM networks and Transformer attention blocks with a custom data collection pipeline integrating 2019–2026 air quality metrics.

  • Hybrid Deep Architecture: Fused Recurrent Neural Networks (LSTM) with Self-Attention Transformer layers for temporal atmospheric modeling.
  • Dataset Engineering: Built an end-to-end data collection pipeline aggregating multi-source historical & live city-wide AQI pollutant data (2019–2026).
  • Automated Pipeline: Automated data preprocessing, feature scaling, sequence generation, trend visualization, and regression evaluation.
Python TensorFlow / Keras LSTM Transformer Scikit-Learn Pandas / NumPy Time Series Matplotlib
GitHub Code Live Demo
Stock Market Prediction Project

Stock Market Prediction using Sentiment Analysis

Developed a machine learning model that predicts stock market trends using financial news sentiment analysis and historical market data. The project combines natural language processing with predictive analytics to improve forecasting accuracy.

  • Engineered key technical indicators: MA_7, MA_30, and Volatility.
  • Integrated NLP headline metrics: Positive Sentiment Ratio & Negative Sentiment Ratio.
  • Achieved superior predictive accuracy over baseline moving average models.
Python XGBoost Pandas NumPy Scikit-Learn NLP Sentiment
GitHub Code Live Demo
RAG-Based Video Topic Finder Project

RAG-Based Video Topic Finder

Built an AI teaching assistant capable of indexing video lecture archives and pinpointing the exact timestamp where any given topic is explained.

Video MP3 Whisper JSON Embeddings RAG LLM
  • Transcribed video lectures using OpenAI's Whisper model into structured timestamped JSON.
  • Generated high-dimensional vector embeddings for semantic vector search & LLM context generation.
Python Whisper RAG LLM Vector DB NLP
GitHub Code Live Demo
Quantum Weather Prediction Project

Quantum Weather Prediction

Developed a next-generation weather simulation and prediction platform leveraging IBM Quantum libraries to model complex atmospheric quantum states.

  • Engineered Flask REST API backend integrated with IBM Qiskit quantum computing circuits.
  • Built an interactive dark-mode frontend featuring real-time geographic map overlays and telemetry displays.
IBM Quantum Qiskit Flask HTML5/CSS3 JavaScript Map API
GitHub Code Live Demo
Continuous Learning

Certifications & Coursework

I believe in continuous learning. These certifications represent my commitment to strengthening my technical knowledge and staying up to date with the latest industry trends.

Data Science

Professional Certification in Advanced Data Analysis & Visualization

Data Engineering

Certified in Data Pipeline Construction & ETL Architectures

Machine Learning

Supervised, Unsupervised Learning & Deep Learning Neural Networks

Artificial Intelligence

AI Algorithms, Knowledge Representation & Generative Models

Core Computer Science Coursework

Rigorous academic courses completed at SRM Institute of Science and Technology

Operating Systems
Database Management Systems
Artificial Intelligence
Data Engineering
Quantum Computing
Object Oriented Programming
Data Structures
Algorithms
Let's Connect

Let's Build Something Amazing Together

I'm always open to discussing AI, Machine Learning, Data Science, internships, research opportunities, and innovative software projects. Feel free to connect with me.

Email Address

rahulpurbey83@gmail.com

Current Location

SRM IST, Chennai, India / Nepal

GitHub Profile

github.com/Rahulpurbey0123

LinkedIn Profile

linkedin.com/in/rahul-purbey-26463a348

Availability

🟢 Open for
AI Internship Data Science Internship ML Internship Freelance Projects