AS

Abinaya Saras M S

Computer Science undergraduate · Aspiring Software Engineer

Coimbatore, TamilNadu, India

@abinayasaras_ms

0 followers

🎓 B.E. Computer Science and Engineering (Artificial Intelligence & Machine Learning) at Sri Krishna College of Technology · Graduating 2027

About

Computer Science undergraduate with strong foundations in Java, Python, C++, object-oriented programming, and data structures & algorithms. Experienced in backend development, REST API design, multithreaded systems, and relational database design through academic projects and a technical internship at ISRO–LEOS.

Experience

  • Academic Intern – Space Systems Engineering
    ISRO – Laboratory for Electro-Optics Systems (LEOS), Dept. of Space, Govt. of India · Bangalore, India
    May 2026 – Jun 2026

    Selected through a competitive process for a technical internship at ISRO’s LEOS facility under a Sci/Eng mentor in the SEMD/VSPG/SSA division, contributing to space systems engineering workflows. Gained hands-on exposure to high-reliability embedded systems and mission-critical software engineering practices within a large-scale government space-research environment.

  • AI/ML Engineering Intern
    Seasense
    2024 – 2024

    Built end-to-end ML training pipelines covering data ingestion, preprocessing, model selection, and iterative evaluation across precision, recall, and F1-score metrics. Debugged model performance bottlenecks by analyzing training metrics and iterating on hyperparameters, systematically improving inference reliability.

Education

  • B.E. Computer Science and Engineering (Artificial Intelligence & Machine Learning)
    Computer Science and Engineering (Artificial Intelligence & Machine Learning) · 2027

Skills

Tools / apps / platforms

<3 months <3 months Just getting started - under three months. This is also what shows when a level has not been set.
Git MySQL GitHub SQLite PostgreSQL

Projects

  • Crime Detection via Vision Transformer
    Python, PyTorch, Deep Learning, ViT

    Built an end-to-end multi-class activity-classification pipeline using a Vision Transformer (ViT) architecture to detect anomalous activity from video frame sequences. Applied transfer learning on pretrained ViT weights with a custom preprocessing and frame-sampling pipeline, improving model convergence and F1-score robustness.

  • Cafeteria Management System
    Java, SQL, Full-Stack, Role-Based Access Control

    Designed a full-stack system with three role-based personas (Admin, Staff, User), enforcing distinct permission hierarchies and data isolation across all application layers. Modeled a normalized relational database schema in SQL with optimized queries for CRUD operations, maintaining transactional data integrity.

  • Mini Search Engine
    Python, Django, Multithreading, Inverted Index, SQLite/PostgreSQL

    Engineered a multi-threaded web crawler with URL frontier scheduling and inverted-index construction in Python, enabling keyword-based document retrieval with TF-IDF/BM25 relevance ranking. Built a Django-based search interface exposing REST endpoints for query processing and ranked-result rendering, backed by SQLite/PostgreSQL for index persistence.

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