Hi, I'm Pratik Jadhav!
I'm an Software Engineer focused on
Building Intelligent Systems.

1. Machine Learning & AI: Mastered neural architectures, transformers, and generative models (CS 577: Deep Learning) and explored regression, kernel methods, and unsupervised learning (CS 584: Machine Learning).

2. Systems & Scalability: Studied the architecture of large-scale distributed systems (CS 553: Cloud Computing), system-level parallel processing (CS 546: Parallel and Distributed Processing), and high-performance network protocols (CS 542: Computer Networks I).

3. Data & Algorithms: Gained expertise in DBMS implementation, transaction management, and distributed data (CS 525: Advanced Database Organization) alongside rigorous mathematical analysis of efficient algorithms and NP-Completeness (CS 535: Design and Analysis of Algorithms).

4. Computational Theory: Explored operational and denotational semantics to characterize program execution and invariants (CS 536: Science of Programming).

1. Pursued a specialization in Artificial Intelligence & Machine Learning, building a strong foundation in both core computer science and applied AI systems.

2. Studied key subjects including Data Structures, Algorithms, Computer Networks, Database Systems, Software Engineering, and System Design.

3. Gained hands-on exposure to advanced domains such as Deep Neural Networks, High Performance Computing, Quantum Computing, and AI Architecture.

4. Developed an understanding of AI/ML concepts, data science principles, and real-world applications of intelligent systems.

5. Worked on multiple design projects and practical implementations, strengthening problem-solving and system-building skills.

6. Explored interdisciplinary areas like Blockchain, UI/UX design, and AI ethics, broadening technical and product perspective.

7. Built strong foundations in programming, object-oriented design, and analytical thinking, with a focus on applying concepts to real-world problems.