Summary
Overview
Work History
Education
Skills
Languages
Certification
Websites
Accomplishments
Affiliations
Timeline
Generic

Gowthami Sai Sree Pooja Pala

Thunder Bay,ON

Summary

Detail-oriented and solutions-driven Software Engineer with a Master’s degree in Computer Science, and hands-on experience in full-stack development, machine learning, and real-time mobile/web application design. Skilled in Python, Java, Android Studio, and cross-platform tools like Unity and Kony Visualizer. Demonstrated ability to work in agile environments, collaborate with diverse teams, and deliver robust technical solutions.Passionate about building scalable systems, and continuously enhancing user experience through innovation and clean code practices.

Overview

3
3
years of professional experience
1
1
Certification

Work History

Graduate Teaching Assistant

Lakehead University
Thunder Bay, Ontario
09.2024 - 04.2025
  • Provided academic support across multiple undergraduate courses by grading lab reports, assignments, and final exams with accuracy and fairness, under the guidance of supervising faculty.
  • Led tutorial sessions and review classes independently to reinforce lecture material, clarify complex concepts, and assist students in preparing for evaluations.
  • Conducted Q&A sessions and one-on-one academic consultations, contributing to improved student comprehension, performance, and engagement.
  • Delivered instructional support in selected classes, stepping in for faculty when needed, and managing classroom discussions to maintain continuity in student learning.
  • Maintained academic integrity by actively monitoring assessments and exams, and ensured timely, constructive feedback to help students understand their areas of improvement.
  • Created multimedia materials such as presentations, videos, and podcasts to supplement classroom instruction.

Software Engineer

Temenos
Hyderabad, India
02.2022 - 02.2023
  • Developed and maintained cross-platform mobile and web applications using Kony Visualizer, ensuring seamless UI/UX experiences across iOS, Android, and web environments.
  • Integrated backend services using Kony Fabric, including authentication, data services, and integration with external APIs, to support dynamic app functionality.
  • Collaborated with cross-functional teams, including designers, testers, and project managers, to deliver client-specific solutions on time and within scope.
  • Participated in the full software development life cycle (SDLC), including requirements gathering, design, development, testing, and deployment.
  • Optimized performance and scalability of existing apps by implementing best practices in coding and resource management within the Kony platform.
  • Provided post-deployment support, resolving bugs and user issues quickly to maintain customer satisfaction and system stability.

Junior Software Engineer

Pro-Vigil
Hyderabad, India
10.2022 - 01.2023
  • Collaborated with the software engineering team to support the development of internal tools and minor applications, contributing to improved operational efficiency.
  • Assisted in coding, testing, and debugging features using JavaScript, HTML/CSS, and basic backend logic, under the mentorship of senior developers.
  • Participated in code reviews and daily stand-up meetings, gaining exposure to Agile methodologies and real-world SDLC practices.
  • Contributed to UI enhancement, error handling, and simple data integration tasks, while adhering to company coding standards and version control processes.
  • Demonstrated quick learning and adaptability by picking up new tools and frameworks, and actively engaging in hands-on learning beyond assigned tasks.

Education

Master of Science - Computer Science

Lakehead University
Thunder Bay, ON
05-2025

Bachelor of Technology - Computer Science

CVR College Of Engineering
Hyderabad, India
08-2021

Intermediate Certificate - MPC

Sri Chaitanya Junior Kalasala
Hyderabad, India
03-2017

High School Diploma -

Ravindra Bharathi School
Hyderabad, India
03-2015

Skills

Programming & Tools :
Python, Java, C, HTML, DBMS, Jupyter Notebook, Android Studio, Unity, HazePixel, Microsoft Office Suite (Word, Excel, PowerPoint)

Machine Learning & Data Science :
Machine Learning, Artificial Intelligence, Computer Vision, Natural Language Processing (NLP), Big Data, Feature Engineering, Coding Standards, Software Development, UI/UX Design

Teaching & Academic Support :
Online Instruction, Lesson & Tutorial Planning, Assignment Grading, Classroom Management, Academic Documentation, Immersive Teaching, Student Engagement

Soft Skills :
Excellent Communication (Verbal & Written), Active Listening, Time Management, Team Collaboration, Multitasking, Adaptability, Trustworthiness

Languages

English
Full Professional
Hindi
Full Professional
Telugu
Native/ Bilingual

Certification

Oracle Certification in Database Design - December 2019
Oracle Certification in Database Programming with PL/SQL - December 2019
Oracle Certification in Database Programming with SQL - December 2019

Accomplishments

Project : Prediction of Thyroid using Machine Learning Techniques ( Bachelors)

  • Conducted a predictive analysis project on thyroid disease classification using machine learning techniques.
  • Applied data cleansing and preprocessing on medical datasets sourced from the UCI Machine Learning Repository.
  • Implemented and evaluated algorithms such as Random Forest to accurately predict the risk of thyroid disorders.
  • Developed a diagnostic model to assist in early detection and prevention of hyperthyroidism and hypothyroidism.

Project: Replicating WiFi-Based Fine-Grained Human Activity Recognition ( Masters )

  • Successfully replicated and extended an existing device-free Human Activity Recognition (HAR) system to evaluate robustness in diverse indoor environments using WiFi Channel State Information (CSI) and RSSI data.
  • Designed and implemented a novel multi-user, multi-environment dataset involving fine-grained knife-based cooking activities (chop, slice, French cut) across 540 samples.
  • Applied advanced machine learning algorithms (KNN, Decision Tree, SVM, etc.) with a robust feature extraction pipeline, achieving a classification accuracy of up to 84%.
  • Conducted detailed performance evaluations and comparative analysis, identifying limitations due to environmental sensitivity and proposing improvements for future HAR systems.

Affiliations

  • Creative writing, reading fiction, and exploring music as sources of inspiration and focus. Passionate about storytelling and personal development through expressive arts.

Timeline

Graduate Teaching Assistant

Lakehead University
09.2024 - 04.2025

Junior Software Engineer

Pro-Vigil
10.2022 - 01.2023

Software Engineer

Temenos
02.2022 - 02.2023

Master of Science - Computer Science

Lakehead University

Bachelor of Technology - Computer Science

CVR College Of Engineering

Intermediate Certificate - MPC

Sri Chaitanya Junior Kalasala

High School Diploma -

Ravindra Bharathi School
Gowthami Sai Sree Pooja Pala