I'm Ayush Shivam, a passionate Data Science and Frontend Developer with a strong foundation in Data Structures and Algorithms and Database Systems.

As the Co-Founder of bitfusion, a dynamic technical community of developers, and Co-Founder of Xyphor Advisors, a consulting company that helps clients with business strategy, consulting, legal advisory, market research, and data research, I thrive on creating impactful solutions and empowering others through knowledge sharing. Previously, I interned at Safetitude Consulting LLP, gaining valuable industry experience.

🛡️ Co-Founder — Bitfusion Dynamics Research
*🗓️ May 2024 – Present

• Established and lead a vibrant technical community of developers and strategy consultants, driving cross-disciplinary research at the intersection of computer science and business innovation.
• Architected and supervised cutting-edge projects in areas such as machine learning, data analytics, and enterprise software, applying advanced Python, C++, and Java solutions.
• Implemented and optimized data-driven models using robust libraries including NumPy, Pandas, and Matplotlib, delivering actionable insights for complex business and technical challenges.

• 🛡️ Software Development Engineer Intern — Safetitude Consulting LLP
  🗓️ Jun 2024 – Aug 2024 | 🌍 On-Site Internship
  • Designed, implemented, and rigorously tested advanced financial algorithms in Java for sophisticated enterprise fintech solutions, delivering noticeable improvements in computational speed and accuracy.
  • Leveraged robust data structures and algorithms (DSA) to create scalable modules, directly optimizing system throughput and resource allocation.
  • Collaborated in diverse cross-functional teams using industry-standard version control practices (GitHub & GitLab), facilitating transparent peer review cycles and rapid iteration.
  • 🔧 Stack:

• 🌐 Open Source Contributor — Hacktoberfest 2025
  🗓️ Oct 2025 – Nov 2025 | ⚡ Global Virtual
  • Spearheaded the development of major components for an open-source financial application using Python, architecting robust backend logic and seamless DBMS integrations.
  • Engineered intuitive, cross-platform desktop user interfaces using Tkinter, enhancing accessibility for a global user base.
  • Managed data modeling and workflow automation to enable efficient information retrieval and reporting, contributing to a smoother financial data lifecycle.
  • 🔧 Stack:

• 🤖 Open Source Developer — Major League Hacking 2025
  🗓️ Oct 2025 – Nov 2025 | 🌐 Global
  • Conceived and delivered next-generation trading algorithms in Rust and Python, focusing on reliability, low-latency data processing, and real-time financial insights.
  • Applied advanced data science methodologies—statistical modeling, feature engineering, and predictive analytics—to drive trading performance and actionable intelligence.
  • Designed highly concurrent pipelines to process, analyze, and visualize large-scale market data, ensuring robust accuracy under demanding workloads.
  • 🔧 Stack:

• 🛡️ MERN Stack Developer — InternNexus
  🗓️ Jun 2025 – July 2025 | 🌍 On-Site Internship
  • Developed a complete full-stack MERN application, building responsive UI components using React.js and Tailwind CSS, and integrating them with a robust Express.js backend.
  • Designed and optimized RESTful APIs using Express.js, thoroughly tested with Postman, ensuring smooth, secure communication across the entire application.
  • Worked with MongoDB Atlas for database modeling, CRUD operations, and cloud deployment, while leveraging GitLab for version control, collaboration, and efficient workflow management.
  • 🔧 Stack:
    

• 🛠️ Open Source Developer — Major League Hacking (MLH)
• 🌱 Hacktoberfest 2025 — Open Source Contributor
• 🥈 NPTEL Certified Silver Elite — Programming in Java

Developed a dynamic and responsive corporate website for Xyphor Advisors, enabling seamless client interaction, service display, and lead generation for a modern consulting firm.

Tech Stack:

Built a robust website tailored to mining sector clients, presenting operational services and company information through a streamlined, mobile-friendly interface.

Tech Stack:

• Frontend: HTML, CSS, JavaScript, Tailwind, React,

• Backend: Node Js, Express Js, Next Js

• Database: MySQL, MongoDB,

• Data Science: Jupyter Notebook, Google Colab.

  • Libraries: NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, YFinance, OpenCV, and many more

• Other Tools: GitHub, Vercel, Netlify, Render, VS Code, Gitlab

• Programming Languages: Python, Java, Javascript, C++, Typescript

• AI/ML: ANN, CNN, RNN, Decision Tree, Linear Regression, Logistic Regression, Random Forest, Gradient Descent, Support Vector Machine

• 🎓 Programming in Java
  Issued by NPTEL & IIT Kharagpur
  Successfully completed a rigorous academic course on Java programming fundamentals through NPTEL, in collaboration with IIT Kharagpur. Demonstrated proficiency in object-oriented programming, core Java concepts, algorithms, and problem-solving techniques applicable to industry use cases.
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• 🗄️ CRUD Operations in MongoDB
  Issued by MongoDB University
  Completed an in-depth course focused on performing Create, Read, Update, and Delete (CRUD) operations in MongoDB. Gained hands-on experience with NoSQL database concepts, schema design, querying, and data manipulation using MongoDB tools and best practices.
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• 🧠 AI Foundations Associate
  Issued by Oracle
  Successfully completed the Oracle AI Foundations Associate certification, gaining essential knowledge of artificial intelligence concepts, machine learning fundamentals, and the application of AI tools within Oracle Cloud.
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• 🤖 Generative AI Professional
  Issued by Oracle
  Earned the Oracle Generative AI Professional certification, demonstrating advanced understanding of generative AI techniques, machine learning workflows, LLM fundamentals, and AI deployment on Oracle Cloud infrastructure. Strengthened skills in prompt engineering, AI governance, and cloud-based AI solutions.
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• 📊 Data Science Professional
  Issued by Oracle
  Achieved the Oracle Data Science Professional certification, demonstrating proficiency in analytical methods, machine-learning model development, and end-to-end data workflows using Oracle Cloud. Covered data preprocessing, model evaluation, and real-world data science practices.
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