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Srija Dasgupta

Software Engineer

About Me

Dynamic and results-oriented software engineer with a strong academic background from the University of Central Florida and extensive professional experience. Proficient in web services, machine learning, and Android development, with a track record of delivering high- impact solutions through five successful personal projects. Adept at collaborating with cross-functional teams to create innovative software solutions, while maintaining a strong focus on quality and deadlines. Known for excellent communication skills and the ability to bridge technical and non-technical stakeholders to drive projects forward efficiently.

Experience

Canadian Global information LTD

Associate Software Engineer

Worked on building and testing of opensource software, interacting with and contributing to the opensource communities. Worked on DevOps and Cloud technologies such as Docker, Kubernetes (OpenShift) and Jenkins. Worked on microservices such as SpringBoot. For code optimization used SonarQube.

University Of Central Florida

Graduate Teaching Assistant

Managing a class of 100+ students and conducting office hours for problem solving sessions. Graded assignments and helped professor to set up question paper for Design and Analysis of Algorithms,Computer Architechture,Network Optimization etc.

Tenex Software Solutions

Software Engineer

Developed AI-driven analytics features for a voting application to improve decision-making insights. Implemented data pipelines for real-time voter data analysis using Python and SQL. Designed a reporting module using Power BI and automated data visualization dashboards.

Sunixa Software Solutions

Software Engineer

Led the migration of a monolithic architecture to a microservices-based AI system, enhancing scalability. Optimized AI-powered search algorithms, reducing latency and improving accuracy. Utilized Kubernetes and Docker for deploying machine learning models in cloud environments. Conducted research on customer feedback to refine AI-driven recommendation systems.

Newbern Excel

Software Engineer

Developed and deployed applications utilizing AI tools—such as deep learning and NLP—integrated with full-stack development frameworks. Designed and trained machine learning models for predictive analytics, enhancing system efficiency by 30%. Engineered scalable solutions with JavaScript and modern full-stack technologies. Collaborated with cross-functional teams to embed AI-powered features and comprehensive full-stack capabilities into existing systems. Maintained detailed technical documentation to support knowledge transfer and ensure long-term system maintainability.

Education

West Bengal University of Technology(India)

August 2016 - July 2020

Bachelor of Technology in Computer Science and Engineering

Original GPA:8.3/10.00 Converted GPA: 3.60/4.00

University of Central Florida

August 2021 - May,2023

Masters of Science in Computer Science

GPA:3.75/4.00

Courseworks

Machine learning, Design and analysis of algorithm, Computer Architecture, Incident response, Malware and software vulnerability analysis, DBMS, Computer Forensics, Android App Development, Computer networks, Operation Research, Computer Vision.

Publications

Bluetooth Controlled Arduino Based Robotic Arm | Asian Journal of Convergence in Technology(AJCT) | Apr 5, 2021:This paper investigates the development and application of robotic arm technology to meet modern industrial and medical needs. The research presents a 4-axis robotic arm, controlled via an Android application connected to an Arduino UNO microcontroller with a Bluetooth module.

Projects

Spotify Music Recommendation System:

Technologies Used: PyCharm, Google Colaboratory, GitHub Description: Analyzed Spotify's music recommendation system using Spotify and Genius APIs for diFerent tracks and albums. Implemented data analysis techniques to evaluate recommendation eFiciency. https://github.com/SrijaDasgupta/Spotify_Music_Recommendation

ChatBot

Technologies Used: JavaScript, HTML, CSS Description: Developed a chatbot capable of replying to predefined messages with the ability to add more responses for dynamic interactions. Designed for interactive and engaging user conversation. https://srijadasgupta.github.io/ChatBot/

Restaurant App

Technologies Used: Swift, XCode Description: Developed a restaurant app allowing customers to view menus, place orders, and track wait times. Ensured a seamless user experience through an intuitive design. https://github.com/SrijaDasgupta/Restaurant

Cancer Prediction Model

Technologies Used: Jupyter, Python 3.0, PyCharm, Deep Learning (RNN, CNN, DNN) Description: Collaborated with a team to develop an algorithm for predicting breast cancer symptoms using deep learning techniques. Evaluated multiple ML models to improve prediction accuracy. https://github.com/SrijaDasgupta/Breast-Cancer-Prediction-With-Multiple-Machine-Learning-Methods

Employee Management App

Technologies used: Java, JavaScript, XML, JSON, MongoDB, MySQL, Spring Boot Description: This project is based on a user app for tracking records of employees. The user/employee can register their details, update/ delete it. They can keep a track of their payroll, leave applications, salary and other personal details. In the app there are admin and manager access as well, managers can view own record also record for any other employees , admin can manage every record (update/delete). Project link: https://github.com/SrijaDasgupta/Employee-Management

Skills

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