Sowjanya Kallepalli

Software Engineer

Fremont, California, United States6 yrs 4 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Achieved 40% increase in database query efficiency.
Led successful geospatial AI project enhancing map accuracy.
Implemented strategic improvements reducing trade settlement time by 20%.

Stackforce AI infers this person is a Software Engineer with expertise in Fintech and AI-driven solutions.

Contact

kallepalli@ipserlab.com LinkedIn

Skills

Core Skills

Test AutomationQuality AssuranceMachine LearningGeospatial AnalysisSoftware Development

Other Skills

AWSAgileAlgorithmsAmazon Web Services (AWS)Analytical SkillsApache CamelArtificial Intelligence (AI)BashBing Maps APIBing Maps Rest APIC (Programming Language)C++CalypsoCascading Style Sheets (CSS)Computer Science

About

Experienced Software Engineer with 4+ years of expertise in designing and implementing scalable applications. Proficient in Java and Spring Framework, delivering solutions as per business requirements. Skilled in optimizing database performance, achieving a 40% increase in query efficiency. Experienced in Agile methodologies, ensuring on-time project delivery.

Experience

6 yrs 4 mos

Total Experience

1 yr 7 mos

Average Tenure

2 yrs 3 mos

Current Experience

Ipserlab

Software Engineer Intern

Mar 2024 – Present · 2 yrs 3 mos · Remote

Developed Cypress-based E2E automation tests to validate UI interactions across 20+ server-rendered pages built
with Next.js and Tailwind CSS, ensuring responsiveness and visual consistency.
Designed UI regression tests using Cypress and Jest, ensuring stable rendering and consistent theme integration
across Material-UI components.
Automated API validation for 35+ RESTful endpoints using Postman and REST Assured, ensuring optimized
middleware and error handling in Express.js services.
Implemented caching validation tests using Redis, verifying optimized data retrieval and reducing database query
load.
Managed 500+ test cases in JIRA TestRail, tracking execution and prioritizing defect resolution.
Validated backend database operations using PostgreSQL queries, ensuring data integrity and consistency.
Participated in Agile Scrum ceremonies, refining test cases and improving automation coverage for each sprint
release.

CypressPostmanRedisPostgreSQLJIRA TestRailAgile+2

Omdena

Software Engineer

May 2023 – Aug 2023 · 3 mos · Remote

Collaborated on a geospatial AI project to enhance map accuracy in underserved areas using computer vision, GIS,
and deep learning. Led data processing tasks using Python, OSMnx, and Bing Maps API for dataset preparation
and analysis.

PythonGISDeep LearningComputer VisionOSMnxBing Maps API+2

California state university - east bay

2 roles

Teaching Assistant

Jan 2023 – May 2023 · 4 mos · On-site

Course Name: Programming Language and Concepts (CS311)
Eﬀiciently handled two sections, grading 72 students’ coursework, delivering constructive feedback, promptly ad-
dressing their inquiries and conducting regular doubt-clearing sessions.

Research Assistant

Jan 2023 – May 2023 · 4 mos · On-site

Federated Learning on AWS:
Research on analysis and comparison of existing Federated learning models i.e., Centralized, Decentralized against our own implementation, hierarchical learning under the guidance of Prof. Babak Esmaeili.
Attained model accuracies of 82.93, 81.9, and 92.8 respectively on the MNIST dataset using Logistic Regression. The experimentation setup was carried out on AWS infrastructure using the FedML framework and PyTorch.

Federated LearningAWSPyTorchMachine Learning

Accenture

Software Engineer

Feb 2017 – Aug 2020 · 3 yrs 6 mos · Bengaluru, Karnataka, India

Participated in all stages of the software development life cycle (SDLC), including meticulous requirements gathering, Planning, and thorough testing for the Calypso financial and trading services platform.
Implemented strategic improvements to Calypso's back-office operations, achieving a 20% reduction in trade settlement processing time, thereby significantly enhancing operational efficiency for a leading UK-based bank.
Successfully identified and resolved 95% of software bugs through rigorous testing methodologies, ensuring superior software quality and reliability.
Developed and maintained Selenium automation test scripts using Python and PyTest to validate core HR functionalities, following modular design and object-oriented principles for scalability.
Built Python utilities to generate dynamic test data, enabling flexible and reusable test cases across diverse HRMS workflows.
Automated UI regression testing using Cypress for key HR modules, ensuring visual consistency and functional reliability over multiple releases.
Designed and executed SQL validation scripts using Python (psycopg2) to verify data integrity across a large-scale employee dataset exceeding 500,000 records.
Tracked and managed defects using JIRA, streamlining collaboration across development and testing teams.
Utilized Linux and Bash scripting for sophisticated system automation tasks, alongside SQL for efficient database querying and management, leading to enhanced overall system efficiency and reduced operational overhead.