Anjali Mudaliar

Operations Associate

Canada1 yr 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Skilled in building scalable APIs and secure microservices.
Experienced in optimizing data workflows for efficiency.
Excited about exploring emerging technologies.

Stackforce AI infers this person is a Full-Stack Software Engineer with a focus on Data Engineering and API Development.

Contact

anjalimudaliar07@gmail.com LinkedIn

Skills

Core Skills

Data AnalysisMachine LearningApi DevelopmentSoftware Development

Other Skills

Agile MethodologiesAmazon Web Services (AWS)Artificial Intelligence (AI)Back-End Web DevelopmentBlockchainBootstrapCC++Cloud ComputingCore JavaCritical ThinkingCybersecurityData EngineeringData MiningData Science

About

Software Engineer with 2 years of experience designing, developing, and maintain-ing full-stack applications and backend systems across multiple domains. Skilled in building scalableAPIs, efficient databases, and secure microservices using Java, Python, React, SQL, and frameworkslike Spring Boot, and AWS Cloud with a knack for crafting clean, efficient code that solves real-worldproblems. Experienced in owning full-stack applications, developing high-performance APIs, and optimizing data workflows to deliver efficient, scalable solutions. Excited about exploring emerging technologies and turningideas into effective, meaningful software.

Experience

1 yr 8 mos

Total Experience

10 mos

Average Tenure

Current Experience

Wyndham hotels & resorts

IT Analyst

Oct 2025 – Present · 8 mos · Canada

Maintain operational system performance and accuracy. Resolve software issues and support smooth IT workflows.

Screaming power

Data Analyst

May 2024 – Dec 2024 · 7 mos · Remote

At Screaming Power Inc., I worked on a project with the University of New Brunswick to assess the accuracy and consistency of utility billing and metering data. My role involves writing scripts to convert dynamic XML files to CSV, analyzing large datasets, and using machine learning to detect anomalies. This research supports Ontario’s decarbonization efforts by ensuring reliable energy data for effective conservation and demand management.

Data AnalysisMachine LearningData Engineering