Pritika

Leading undergraduate instruction and laboratory sessions in core computer science disciplines. Fostering a learning environment where students move from abstract syntax to building software applications with clarity and empathy.

Teaching Domains & Subjects

• ✦Software Engineering: Software development life cycle, architectural models, testing frameworks, and maintainable design patterns.
• ✦Programming Fundamentals: Algorithmic problem solving, structured logic, and clean code principles for first-year engineers.
• ✦Web Technology and Applications: Modern responsive client-server architectures, UI design, HTML/CSS, JavaScript, and backend integration.

Administered institutional education data and digital oversight across district schools and educational institutes in Sikkim.

Key Responsibilities

• ✦Managed state-level data infrastructure on the EMMIS (Education Management & Monitoring Information System) platform.
• ✦Streamlined data pipelines for government institutional reporting, school enrollment tracking, and performance metrics across Sikkim.

Conducted rigorous theoretical and hands-on laboratory modules across computer science systems, database design, and discrete mathematical foundations.

Subject Areas Delivered

• ✦Operating Systems & Relational DBMS: Concurrency, process scheduling, schema normalization, SQL optimization, and transaction management.
• ✦Information Security: Cryptographic protocols, secure communication models, and threat surface identification.
• ✦Graph Theory and Probability: Mathematical foundations for network modeling, shortest path algorithms, and stochastic computing.

Completed advanced graduate research focused on biomedical image processing and regional Internet of Things applications for hilly agrarian environments.

Research Projects

• ✦Histopathological Image Registration: Developed image augmentation and outlier rejection pipelines combining registration algorithms across varying illumination and scale.
• ✦Himalayan Smart Fishery IoT: Surveyed water parameters and designed sensor network architectures tailored to high-altitude aquaculture in Sikkim.

Advanced study in computer systems, image processing, machine learning, and IoT architectures in Himalayan regions.

Foundations of computer science, algorithms, software design, cybersecurity, and applied network protocols.

Augmented static tissue images to generate a comprehensive dataset with varying illumination, rotation angle, and scale. Combined multiple outlier rejection algorithms with image registration pipelines, analyzing combination performance across diverse test sets.

Surveyed optimal temperature and water parameters for indigenous and commercial fish species cultivated in Sikkim. Formulated decentralized sensor node architectures resilient to high-altitude and hilly terrains.

Built binary classification pipelines for emails and web URLs into legitimate or phishing categories. Achieved 98.74% classification accuracy with an exceptionally low False Positivity Rate of 0.043%.