I am a passionate Software Engineer focused on building clean, high-performance web applications, embedded database engines, and end-to-end MLOps solutions. I enjoy translating complex logic into user-friendly digital experiences using Java, React, and C/Python.

• 🎓 Currently pursuing Master of Technology in Computer Science & Engineering at IIIT Bangalore (2025 - Present).
• 🌱 Specialized interest areas: Embedded Database Systems, Scalable Web Architectures, and MLOps/AI Platforms.
• 💼 Former Software Engineer at Ausumn Team Online Services and SDE Intern at Techciti Technologies.
• 💬 Ask me about: React, Spring Boot, Custom Databases, Machine Learning, and DSA.
• 📬 Email: Prins.Mishra@iiitb.ac.in

A modular, C-based embedded database engine designed from the ground up to demonstrate database systems concepts.

• Tech Stack: C, File Systems, Custom Buffer Managers, LRU Cache, B+ Tree Indexing
• Key Core Components:
  • Storage Manager: Implements slotted-page formatting to read/write database frames onto disk blocks.
  • Buffer Pool Manager: Oversees memory pages using an LRU/Clock eviction scheme to maximize buffer efficiency.
  • Table Heap Layer: Facilitates record insertions, updates, and sequence scans using table iterators.
  • Index Manager: Organizes data pages dynamically with a custom B+ Tree search index.

An end-to-end MLOps predictive analytics dashboard mapping industry, workforce size, and AI exposure to corporate layoff risks.

• Tech Stack: TensorFlow, FastAPI, React/Vite, Docker Compose, ELK Stack (Elasticsearch, Logstash, Kibana)
• Key Core Components:
  • ML Model: Custom neural network built with TensorFlow to evaluate multi-feature risk classifications.
  • Inference Server: High-throughput backend built using FastAPI, serving real-time model scoring.
  • Docker Compose: Orchestrates containerization of the Vite UI, FastAPI backend, and ELK analytics cluster.
  • Real-Time Telemetry: Integrates Logstash pipelines and Kibana dashboards to display user telemetries.

A full-stack, enterprise-style food ordering and delivery web application.

• Tech Stack: React JS, Spring Boot, MongoDB, Java, CSS
• Key Core Components:
  • Backend APIs: Modular REST endpoints designed using Java Spring Boot with JPA/Hibernate operations.
  • User Portal: Responsive frontend interface featuring custom state managers, user authentication, and shopping cart details.
  • Security: Built secure JWT authorization filters for admin controls and user accounts.

An ERP portal built to facilitate hiring managers in posting and tracking candidate offers.

• Tech Stack: React, Spring Boot, MySQL, Java

Data analysis and classifier evaluating lifestyle choices, eating habits, and demographics against obesity levels.

• Tech Stack: Python, Scikit-learn, Pandas, NumPy

A secure command-line banking administrator console utilizing low-level C++ file handling operations.

• Tech Stack: C++, Linux, System Calls, File Handling

Ausumn Team Online Services Private Limited | June 2023 - Aug 2024

• Engineered and maintained robust, scalable RESTful APIs using Spring Boot, adhering to security and performance parameters.
• Optimized database persistence and query efficiency by implementing JPA and Hibernate ORM, reducing latency by 15%.
• Refactored core application processes using advanced Data Structures & Algorithms.

Techciti Technologies | Jun 2022 - Nov 2022

• Developed responsive front-end single-page applications using React.js.
• Reduced component development time by 20% by authoring modular, reusable layouts.

• 🎓 M.Tech in Computer Science and Engineering — IIIT Bangalore (2025 - Present)
• 🎓 B.Tech in Electronics and Communication Engineering — BIET Jhansi (2019 - 2023)

• Dynamic Programming (160+ problems solved)
• Backtracking (37+ problems solved)
• Monotonic Stack (31+ problems solved)