Srujan rana

Srujan Rana

AI/ML Engineer

ranasrujan@gmail.com

Welcome to My Portfolio!

Hi there, I'm Srujan Rana, an enthusiast for AI and ML who is enthralled with the limitless potential these technologies provide. My curiosity drove me to pursue a career in artificial intelligence, which has now developed into a full-fledged drive to push limits and redefine what is conceivable.

I have a strong interest in investigating how AI may improve creativity, transform industries, and resolve challenging issues. Motivated to spearhead developments, I concentrate on significant automation, innovation, and cutting-edge AI applications.

Through commitment, lifelong learning, and an unwavering enthusiasm for invention, I hope to lead the AI revolution and leave a creative, influential, and growing legacy. Welcome to my portfolio, which serves as a showcase for my goals, accomplishments, and experience in this fascinating area. Have a look at my Résumé

Interests
  • Research
  • Algorithms
  • Generative AI
  • Deep Learning
  • Machine Learning
Education

  • Bachelor of Science (Data Science),2024 - 2028

    IIT Madras (Indian Institute of Technology Madras)

    Bachelor of Technology (Artificial Intelligence and Machine Learning),2022 - 2026

    SUIIT (Sambalpur University Institute of Information Technology)

Experience

 
 
 
 
 
GDG
AI/ML Co-Lead
Google Developer Groups (GDG) on campus SUIIT
2024 – Present
  • Spearhead campus-wide initiatives focused on artificial intelligence and machine learning, driving innovation through workshops, hackathons, and collaborative projects.
  • Leadership & Technical Expertise::
    • Mentor student developers, facilitate AI/ML learning tracks, and lead hands-on sessions on cutting-edge technologies such as deep learning, natural language processing, and AI-driven solutions.
  • Community Engagement & Collaboration:
    • Organize events, webinars, and hackathons to foster a vibrant tech community, encouraging knowledge sharing and collaboration among students and industry professionals.
 
 
 
 
 
hp
Summer Reserch Intern
May 2024 – Jun 2024 Onsite
  • Developed and built a voice stress analysis model utilizing Mel Frequency Spectrogram features under the guidance of Dr. Pradeep Singh, HOD Department of CSE at NIT Raipur
  • Integrated CNN with BiLSTM, and includes a self-attention layer to increase accuracy by focusing on key input patterns, resulting in improved performance and reliability.
  • Conducted extensive hyperparameter tuning, pushing the model to achieve 92% accuracy and boosting operational efficiency by 80% ensuring reliable and consistent results.
  • Successfully deployed the model on Google Cloud Storage bucket, allowing secure, scalable storage and seamless retrieval for integration with a Flask-based web interface, enhancing user experience and facilitating real-time stress detection.
See certificate
 
 
 
 
 
Winner List
Daily Tech Suggest
Technical Content Writter
June 2023 – August 2023
  • Specializing in creating clear and user-friendly content that simplifies complex AI and machine learning concepts.
  • Experienced in writing SEO-optimized blogs, product documentation, and API guides to enhance product visibility.
  • Skilled in technical writing tools, SEO strategies, and technologies like Python and machine learning frameworks.
  • Successfully increased organic traffic through engaging articles and comprehensive user guides.
  • Collaborates with developers and product teams to deliver impactful resources that drive user satisfaction.
See certificate

Skills

AI & Data Science

1+ Years XP

Machine Learning

Deep Learning

Data Visualization

Predictive Modeling

Statistical Analysis

Computer Vision

Game Development

1+ Years XP

Unity - AR(AR-core)

Unity _3d

Unity - VR(Meta XR)

Programming

2+ Years XP

Python

Java

C

SQL

Cloud Computing

1+ Years XP

Google Cloud Platform

Docker

Front End

1+ Years XP

HTML

CSS

Figma

Canva

Back End

1+ Years XP

Python - Flask

Python - Django

Python - FastAPI

MLOps & Deployment

1+ Years XP

ML Lifecycle Management

Model Deployment

Serving APIs (FastAPI, Flask)

Miscellaneous

2+ Years XP

Git & GitHub

Linux

DevOps Practices

Software Development

Accomplish­ments

ISRO
Geospatial Analysis using Google Earth Engine
ISRO March 2024
  • Gained hands-on experience in utilizing Google Earth Engine for large-scale geospatial data analysis and visualization.
  • Learned advanced techniques for processing satellite imagery and deriving insights for environmental and land-use studies.
  • Developed skills in scripting and automation for geospatial workflows using the Earth Engine JavaScript API.
  • Explored real-world applications such as forest cover mapping, urban growth analysis, and water resource management.
See certificate
Coursera
Data Science Masters 2.0
PW Skills Aug 2024
  • Completed the PW Data Science Masters 2.0 course, where I honed my expertise in machine learning, data analysis, and scalable model development. The course provided extensive hands-on experience with real-world projects, allowing me to apply advanced techniques in a practical setting.
  • I gained proficiency in building end-to-end data pipelines, optimizing models, and deriving actionable insights from complex datasets. This experience further solidified my ability to create impactful, data-driven solutions.
See certificate
udemy
Building GenAI App & Hands-on Projects
Udemy Aug 2024
  • Gained experience in building GenAI applications and hands-on projects using Large Language Models (LLMs). Applied cutting-edge techniques to develop AI-driven solutions that leverage advanced natural language processing capabilities.
See certificate
Google
Google Solution Challenge - Top 100 Finalist
Google May 2024
  • Selected as a Top 100 Finalist in the Google Solution Challenge, recognized for developing innovative solutions to real-world problems.
  • An AI-powered navigation system designed to assist visually impaired individuals by providing real-time feedback about their surroundings through haptic and audio cues.
See certificate

Projects

*
All Machine Learning Deep Learning Computer Vision NLP/LLM
HerbWise: AI-Based Herb Classification and Chatbot System
Developed a comprehensive AI-driven solution that combines a fine-tuned Convolutional Neural Network (CNN) for herb classification with an interactive chatbot. Leveraged MobileNetV2 and VGG16 models, selecting MobileNetV2 for its superior accuracy. The chatbot, powered by natural language processing (NLP), provides users with instant information about the uses and benefits of various herbs, enhancing user engagement and learning.
Sarthak Kalia
HerbWise
VirtuEye - AI-Smart Glass for Visually Impaired People
VirtuEye is an innovative AI-powered smart glass designed to assist visually impaired individuals in navigating their environments safely and independently. The system employs a fine-tuned MobileNetV3 Convolutional Neural Network (CNN) for real-time object detection, integrated with YOLO (You Only Look Once) for immediate identification of obstacles. Optical Character Recognition (OCR) technology is utilized to extract text from images, providing users with vital information about their surroundings. Additionally, a natural language processing (NLP) model enhances user interaction by converting detected objects and text into meaningful audio descriptions. A comprehensive dataset was created and annotated using RoboFlow, ensuring high-quality data for improved model performance and accuracy.
Sarthak Kalia with his team
VirtuEye Result YouTube
VirtuEye
Spam/Ham Classifier
Developed a robust Spam/Ham Classifier utilizing natural language processing (NLP) techniques, including Bag of Words (BoW) and TF-IDF for effective message categorization. Implemented the Multinomial Naive Bayes algorithm to enhance classification accuracy, leveraging advanced text processing methods and feature extraction techniques to optimize performance.
Sarthak Kalia
Repository
Spam-Ham
CNN- Architecure
Contributed to a GitHub repository focused on image classification tasks by developing a Convolutional Neural Network (CNN) architecture. This includes a comprehensive video notebook and a paper to facilitate learning about advanced deep learning techniques, showcasing hands-on experience with state-of-the-art neural network methodologies.
Sarthak Kalia with his team
Repository Content
CNN
Invoice Extractor LLM app
Developed an Invoice Extractor LLM application that leverages large language models (LLMs) to automate the extraction of key information from invoices. Implemented advanced text processing and entity recognition techniques to streamline data extraction and improve accuracy in financial document management.
Sarthak Kalia
Repository
Diamond Price Prediction
Developed a predictive model for estimating diamond prices using regression analysis and implemented a machine learning pipeline that automates the prediction process. Evaluated various models, including Linear Regression, Lasso, Ridge, ElasticNet, and Decision Trees, through this pipeline. Conducted thorough feature engineering and data preprocessing to optimize model performance, ultimately selecting the best-performing model based on accuracy metrics. This project showcases proficiency in data analysis, model selection, and the application of machine learning techniques to solve real-world problems.
Sarthak Kalia
Repository
Diamond Price Prediction
Shopping Management System
Developed an online shopping management system using Java, implementing Object-Oriented Programming (OOP) principles such as abstraction, inheritance, polymorphism, and encapsulation. Integrated JDBC for seamless database interaction with MySQL, allowing for efficient management of user and product information. Key features include user registration and login, product browsing, shopping cart management, and payment handling. The system is structured with a clear modular design, promoting maintainability and scalability.
Sarthak Kalia
Repository
Shopping Management System

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