Hello, I am

Sayali

Bayaskar

As a dedicated software developer and aspiring Master’s student, I blend hands-on

coding expertise with a commitment to advancing my knowledge. Eager to contribute

technical prowess and academic rigor to innovative projects.

Internships

2024

Pure Storage

Engineered enterprise-grade C++ code for enhancing context information for read failures across multiple software layers in an asynchronous, multi-threaded, and highly concurrent environment.
Improved real-time error filtering and system reliability by creating a mechanism to access high-level context for read errors.
Optimized RAID-6 and high-availability configurations by developing specialized solutions to accurately identify and log additional details on drive read failures, boosting system diagnostics in response to critical read failure scenarios.
Executed comprehensive unit tests to rigorously simulate read errors and device failures, ensuring robust error type identification through these advanced context propagation mechanisms.

Skills required: C++, Git, Linux, GDB, OS

2018

PricewaterhouseCoopers

Worked in technical aspects of Microsoft Dynamics CRM to deliver high-end ERP application to client.

Skills required: Microsoft Dynamics CRM, C#, Javascript

Work History

2021-2023

PowerPack

Academic Projects

Cloud-Based AV Fleet Management Platform

Deployed a scalable real-time AV fleet management platform on Amazon EC2 with MongoDB for data analytics.
Created Flask-based RESTful APIs for real-time data collection and processing from the Carla AV simulator.

Effects of Songs on Mental Health

Conducted comprehensive data analysis on the therapeutic effects of song lyrics on depression, anxiety, and stress.
Developed predictive models using machine learning, achieving up to 87% accuracy with Adaptive and Gradient Boosting.

MovieAnytime

Developed an web application that enables users to easily book movie tickets with a seamless checkout process using Flask and PostgreSQL.

Implemented theater employee role to manage the movie/showtime related process. Deployed the application on Amazon AWS EC2 with load balancing.

Multi-node Task Scheduler System

Engineered a robust Client component for a multi-node task scheduler system using C++, gRPC, and MPI.

Enhanced task validation, submission, status updates, and result retrieval for improved user interaction and system responsiveness.
Implemented advanced features like dynamic connection management, real-time status feedback, and detailed task logging.

Consistent Hashing for Apache Arrow Flight

Developed an web application that enables users to easily book movie tickets with a seamless checkout process using Flask and PostgreSQL.
Implemented theater employee role to manage the movie/showtime related process. Deployed the application on Amazon AWS EC2 with load balancing.

Crop Recommendation

Incorporated Auto Arima and LSTM for forecast prediction and designed models using Artificial Neural Network and Random Forest Regressor algorithms.

Face detection and recognition

Developed a face recognition and face detection system with 96% accuracy of detecting faces in any image and their classification.

Motion Detector

 Implemented a motion detector and frequency calculator that detects movement in real-time video, triggering alerts for dynamic surveillance.

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