About Me

I am Ankit Arbind Sinha, a passionate and driven Master of Science student in Artificial Intelligence at Northeastern University, with an expected graduation in May 2025. My academic focus is centered around machine learning, reinforcement learning, and their applications to a wide array of domains, including gaming, stock market prediction, and intrusion detection. I am particularly fascinated by the scalability of algorithms and how they can solve real-world, complex challenges.

I have always been eager to expand my knowledge and skill set, which is reflected in my strong background in computer systems, distributed systems, and software security. My time at Tata Consultancy Services (TCS), where I worked for over two years, allowed me to sharpen my skills in optimizing and debugging systems, providing me with invaluable real-world experience. I am constantly seeking new opportunities to grow and contribute to impactful projects that push the boundaries of what AI can achieve.

• Software Engineer
  Tata Consultancy Services (TCS) | 2021–2023| Pune, Maharashtra
  During my time at TCS, I contributed to various projects by optimizing and debugging complex systems, ensuring robust and scalable performance. I collaborated with teams to design and implement solutions that improved operational efficiency. I also gained valuable experience in Agile methodologies, DevOps, and Test-Driven Development (TDD).
• Internship in Software Development
  Cognizant | Dec 2020 - May 2021| Pune, Maharashtra
  Trained on Oracle tools and ERP systems, gaining expertise in database development and system integration. Developed databases for ERP systems and designed ERP solutions to streamline project management processes and enhance organizational efficiency.
• Machine Learning Intern
  Zerogons | May 2020 - Jul 2020 | Pune, Maharashtra
  Designed and developed an AI model with 80% accuracy, assessing and fine-tuning the model for real-world application. Collaborated in dataset creation and programmed a script using fuzzy logic to work with the dataset, enhancing model performance.
• Intern
  KPIT | Jun 2019 - Jul 2019 | Pune, Maharashtra
  Designed and programmed a dynamic vehicle routing and planning algorithm for an optimized delivery system, supervised by a data scientist.

• Master of Science in Artificial Intelligence
  Northeastern University | Expected Graduation: May 2025
  Coursework includes Reinforcement Learning, Machine Learning, Deep Learning, Data Structures, Computer Vision, and Natural Language Processing. I am particularly focused on developing algorithms that enhance scalability and performance in AI models.
• Bachelor of Technology in Computer Engineering
  MIT, PUNE | Graduated: 2022
  Developed a strong foundation in computer science, including data structures, algorithms, operating systems, and database management.

• Programming Languages: Python, Java, C++, SQL, JavaScript
• Machine Learning Techniques: Regression, Neural Networks (CNN, RNN), Autoencoders, Reinforcement Learning, Decision Trees
• Frameworks & Tools: TensorFlow, PyTorch, OpenAI Gymnasium, NumPy, Pandas, Flask, Spring, React, XGBoost
• Platforms: Windows, macOS, Linux
• Cloud & DevOps: GCP, Azure, Netlify, GitHub, SVN
• Development Methodologies: Agile, Test-Driven Development (TDD), DevOps

In addition to my coursework, I have worked on several projects, such as:

• Stock Market Prediction: Developing a short-term prediction model for high-frequency trading using LSTM networks and technical indicators like Bollinger Bands and moving averages.
• Reinforcement Learning: Implementing Monte Carlo and SARSA algorithms in environments like Windy GridWorld and Racetrack, with a focus on policy iteration and action optimization.
• Image Processing: Creating an application using the MVC architecture to manipulate and enhance images through operations like filtering, splitting components, and Haar wavelet transformation.

Looking ahead, I am eager to continue exploring the intersection of AI and real-world applications. I am particularly excited to contribute to projects that aim to advance the capabilities of autonomous systems, predictive models, and AI-driven decision-making. I am always looking for opportunities to collaborate with like-minded professionals and contribute to groundbreaking innovations in the field of artificial intelligence.

Outside of my professional and academic pursuits, I am passionate about gaming, photography, and exploring creative ways to integrate technology with personal interests. I enjoy the challenges posed by competitive games and the opportunity to apply AI in game environments. I am also constantly experimenting with new ideas and tools to stay ahead of technological trends.

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