About me

I'm Third-year undergraduate and Data enthusiast from Agra, India, pursuing my Bachelor's in Artificial Intelligence and Machine Learning. I'm Passionate about simplifying intricate challenges into elegant and intuitive solutions, whether it's in coding, design, or problem-solving.

My job is to engineer innovative solutions as a dedicated software developer specializing in Artificial Intelligence and Machine Learning. Proficient in languages like C/C++, Python, and JavaScript, I utilize frameworks such as TensorFlow and libraries like Pandas to build robust machine learning models. With expertise in developer tools including Git and VS Code, and experience in web technologies like React, coupled with deployment skills using Docker, I'm committed to advancing technology and driving impactful solutions.

What i'm doing

  • design icon

    Data Engineering

    Transforming raw data into valuable insights for informed decision-making.

  • Web development icon

    Machine Learning

    Unveiling patterns, forecasting trends, and enhancing decision-making processes.

  • mobile app icon

    Web Development

    Crafting dynamic web experiences, optimizing performance seamlessly.

  • camera icon

    Fitness

    A fitness enthusiast dedicated to maximizing health and wellness.

Testimonials

  • Yugal Chaudhary

    Yugal Chaudhary

    Sparsh's keen eye for detail ensures our data engineering projects reach new heights of precision and quality.

  • Ainain Aftab

    Ainain Aftab

    With Sparsh leading web development, our projects are user-friendly and polished, making a lasting impact.

  • Arpita Agarwal

    Arpita Agarwal

    In machine learning, Sparsh's expertise delivers game-changing insights that propel our projects forward.

  • Ayush Gupta

    Ayush Gupta

    Sparsh's dedication motivates our team to excel, driving us towards success in every endeavor.

Technologies

Resume

Education

  1. SRM Institute of Science and Technology

    2021 — 2025

    Bachelor of Technology in Computer Science

Certifications

  1. Deep Learning Specialization

    Mar 2024

    Completed courses in Deep Learning specialization, mastering advanced techniques like Hyperparameter Tuning and Convolutional Neural Networks. Proficient in structuring Machine Learning Projects and implementing Sequence Models for sequential data analysis. Equipped with expertise to excel in innovative AI applications and research projects.

  2. Machine Learning Specialization

    Dec 2023

    Completed courses in Machine Learning specialization, mastering Supervised Machine Learning techniques including Regression and Classification. Advanced proficiency in Learning Algorithms, Unsupervised Learning, Recommenders, and Reinforcement Learning. Equipped with expertise to excel in diverse machine learning applications and contribute to innovative projects.

  3. Big Data Technologies

    Aug 2023

    Acquired comprehensive knowledge of Hadoop Distributed File System (HDFS) and its utilization for large-scale data storage and processing. Developed a solid foundation in deploying and managing large-scale data processing applications, ensuring scalability and efficiency in handling Big Data challenges.

Projects

  1. CanvasCraft: Dynamic Whiteboard

    Mar 2024

    Developed a dynamic whiteboard app with React, HTML5 Canvas, and Tailwind CSS, deployed on Vercel. Managed states with React Context for features like erasing and undo/redo, and integrated drawing functionalities using JavaScript for line, shape, and text.

  2. Safety helmet detection - using Faster R-CNN and YOLOv8

    Dec 2023

    Executed a dual-phase project on object detection using Faster R-CNN and YOLOv8 for the Kaggle Helmet Safety Challenge. Scripted in PyTorch, trained, and fine-tuned both models for complex detection tasks. Developed performance comparison scripts, highlighting accuracy and speed, and compiled a detailed GitHub repository with code, readme, and video demonstrations.

  3. Rubik's Cube Solver - using Korf's IDA* Algorithm

    Aug 2023

    Implemented a virtual Rubik’s Cube (3x3) in C++ using standard data structures, organized into three distinct models/classes. Achieved solving times under 3 seconds for a jumbled cube using Breadth-First Search (BFS), Depth-First Search (DFS), and Iterative Deepening Depth-First Search (IDDFS) algorithms. Further enhanced solving efficiency with Korf’s IDA* Algorithm, accomplishing times under 10 seconds for cubes jumbled 13 times.

My skills

  • Programming
    80%
  • Problem Solving
    80%
  • Algorithms
    70%
  • Collaboration
    90%

Blog

Contact

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