Kartik Bhalala

Kartik Bhalala

Deep Learning, Cloud, and Data Science

About Me

I’m a passionate Machine Learning Engineer and Information Technology professional with a diverse skill set spanning Machine Learning, software development, and data analytics. I am currently pursuing my Master’s in Information Technology at The University of Western Australia, I’m constantly expanding my knowledge in cutting-edge areas such as machine learning, natural language processing, and cloud computing.

With hands-on experience in developing sophisticated machine learning models, I specialize in Natural Language Processing, Computer Vision, and Deep Learning. I have a proven track record of leveraging advanced technologies such as PyTorch, OpenCV, and Huggingface to tackle complex problems in fields like sentiment analysis and question-answering systems.

Beyond just building models, I’ve enjoyed diving into cloud computing with platforms like AWS and GCP. I’ve had the opportunity to deploy scalable machine learning solutions and optimize databases for performance. My skills also include designing and analyzing data warehouses, using SQL and Python to extract meaningful insights from complex datasets.

I am particularly enthusiastic about projects that push the boundaries of technology and have a positive impact on society. For instance, I developed an Intelligent Health Consultation Agent that utilizes OpenAI’s GPT-4o to provide accurate health-related responses, enhancing accessibility to medical information.

My academic and professional journey has equipped me with skills in software development methodologies, ethical AI considerations, and a dedication to contributing to open-source communities.

Feel free to connect with me on LinkedIn or explore my projects on GitHub. I am always eager to engage in discussions, collaborate on projects, and explore new opportunities in the realm of Artificial Intelligence and Information Technology.

Skills

  • Programming Languages: Python, R, Java, C & C++, SQL, JavaScript
  • Programming Frameworks: PyTorch, OpenCV, Huggingface, Pandas, Scikit-learn, NumPy, Matplotlib, Seaborn, Flask
  • Technologies: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Weights and Biases, Docker, Git, AWS, GCP, Linux, Databases, IoT

Experience

Machine Learning Engineer

JKSOL Infotech, Surat, India
Sep 2019 - June 2022

  • Engineered a sophisticated stock sentiment analysis model using BERT, processing financial news and social media data (Twitter) to predict sentiment for individual stocks.
  • Improved model accuracy and efficiency through hyperparameter tuning, feature selection, and ensemble methods.
  • Integrated CI/CD pipelines for machine learning models, conducted code reviews, and performed load testing for scalability.

Software and Development Intern

D & K Group, Surat, India
Dec 2018 - Apr 2019

  • Led development of “Smart Weather Meter” and “Smart Parking” systems using LoRaWAN technology.
  • Designed “Smart Moisture Meter” for soil moisture monitoring and irrigation scheduling optimization using IoT sensors.

Machine Learning Intern

Goldenmace IT Solution, Bardoli, India
May 2018 - June 2018

  • Created a Face Recognition-Based Attendance System using FaceNet and OpenCV.
  • Gained hands-on experience with Python, TensorFlow, ScikitLearn, Keras, and NLTK.

Projects

Intelligent Health Consultation Agent (2024)

  • Developed a web-based agent mimicking a doctor’s behavior, providing health-related responses using OpenAI GPT-4o.
  • Integrated Flask for web interface and Flask-Session for maintaining conversation context.

Question-Answering System (2023)

  • Developed a bi-directional LSTM model with attention mechanism for extracting answers from contexts.
  • Trained on SQuAD dataset, achieving competitive performance.

Data Warehouse Design and Association Rule Mining (2024)

  • Designed and implemented a data warehouse for Olympic Games datasets.
  • Conducted association rule mining using SQL and Python, visualized with Atoti and Power BI.

Graph Database Design (2024)

  • Implemented a property graph in Neo4j for 2014 FIFA World Cup players.

Publications

  • Working on developing a new AI architecture integrating perception, memory, and cognition to mimic natural intelligence behavior.

Education

Master of Information Technology

The University of Western Australia, Perth, Australia
Expected 2024

  • Relevant Courses: Machine Learning, Natural Language Processing, Open Source Tools and Scripting, Data Warehousing, Data Analysis and Decision Making, Business Intelligence, Cloud Computing, Project Management.

B.Tech (Information Technology)

Uka Tarsadia University, Bardoli, India
2015 - 2019

  • Relevant Courses: Neural Networks, Object Oriented Programming, Advanced Database Management System, Discrete Maths, Data Structures and Algorithms, Operating Systems, Computer Networks, Data Mining and Business Intelligence, Internet of Things, Theory of Computation.