AI-Driven Cloud Backend Engineer

Harshala Pawar

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Summary

• Software Engineer focused on AI-driven and cloud-native systems with year of experience building scalable backend platforms and data-centric applications. Experienced in building scalable services using Python, FastAPI, SQL, and AWS, optimizing databases and system performance in Linux environments. Education

The University of Texas at Dallas August 2024 - May 2026 Master of Science, Information Technology and Management Dallas, TX Amity University, Mumbai August 2019 - August 2022 Bachelor of Computer Application Navi Mumbai, India Skills

Programming: Python, SQL, JavaScript.

AI & Data: LLM Integration, RAG, Semantic Search, Prompt Engineering, Data Processing Backend Development: FastAPI, Django, REST API Design, Dependency Injection, Unit & Integration Testing Databases: PostgreSQL, MySQL, Relational Schema Design, Indexing, Query Optimization Cloud & Platforms: AWS (EC2, Lambda, RDS, IAM, CloudWatch), Docker, Linux, AWS Bedrock, Sagemaker. Engineering Practices: Git, Agile/Scrum, Secure Coding, Debugging, Performance Optimization Certification

• AWS Solutions Architect (SAA)

• AWS Machine Learning

• AWS Certified Developer

• Tableau Certified

• MERN Stack

• Python for Data Science

Work Experience

Associate Software Developer Sourcewell Device Private Limited,Mumbai, India January 2023 - July 2024

• Owned end-to-end development of the company’s production, customer-facing website, designing and building scalable backend services using Python and FastAPI to support dynamic content for external users and internal teams.

• Designed and implemented RESTful APIs with dependency injection and comprehensive unit testing, reducing production defects by 15% and improving service reliability.

• Led relational database design and optimization using PostgreSQL and SQLAlchemy, significantly improving query performance and enabling reliable data access for high-usage, business-critical workflows.

• Diagnosed and resolved performance bottlenecks through Linux-based debugging and profiling, improving runtime efficiency and overall system stability.

Projects

Intelligent Knowledge AI Agent for Vendor Risk Assessment AI in Business February 2026

• Built a Python FastAPI backend and MCP server exposing tool APIs for document ingestion, semantic search, and agent tool orchestration in an AI-driven vendor risk assessment system.

• Implemented knowledge retrieval and integration pipelines (file, URL, questionnaire ingestion + search APIs) enabling RAG-based conversational analysis and automated risk insights generation. Gym Database Management System Database Management for Business Analytics Novemember 2025

• Designed and implemented a relational database management system for a multi-entity gym platform, modeling members, trainers, memberships, payments, and usage data

• Applied schema normalization, indexing strategies, and query tuning, improving data retrieval performance and ensuring data integrity.

Wild Rydes – Cloud-Native Ride Sharing Application AWS Solution Architect March 2025

• Built stateless, scalable backend services using AWS Lambda, API Gateway, and DynamoDB, enabling reliable handling of concurrent user requests.

• Deployed and tested services in Linux-based environments, applying cloud-native patterns to ensure scalability, reliability, and maintainability.

Leadership Accomplishment & Community Service

Technology Officer AWS Cloud Club, UTD September 2025 – Present

• Led workshops on EC2, Lambda, SageMaker, and AWS Bedrock introducing students to cloud and generative AI development. Mentored 50+ students on building scalable applications and practical AI integrations.

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