Sakshi Patel
Software EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Engineer with 3+ years in Python-based Microservices & Cloud-Native Deployments
Software Engineer with 3+ years of experience designing scalable ecommerce and supply chain platforms using Python-based microservices, event-driven architectures, and cloud-native deployments. Proven expertise in building secure, API-driven systems with OAuth2, JWT, and rate-limiting controls to support high-volume checkout, inventory synchronization, and order lifecycle workflows. Skilled in React and Angular integrations, Kafka-driven asynchronous processing, Docker-based containerization, Kubernetes-based CI/CD automation, and observability-driven performance optimization across AWS and Azure environments for resilient retail platform engineering.
Illinois Institute of Technology
Master of Science · Computer Science
August 1, 2023 – May 1, 2025
Dharmsinh Desai University
Bachelor of Technology · Information Technology
July 1, 2019 – May 1, 2023
HCL Tech
Software Engineer
October 1, 2024 – Present
USA
LTIMindtree
Software Engineer
May 1, 2021 – July 1, 2023
India
AI Code Review Platform
January 1, 2026 – June 1, 2026
Developed a FastAPI-based backend service to process user-submitted source code and generate automated review responses using integrated AI APIs for real-time code feedback workflows. Implemented React-based frontend interface with Monaco Editor integration to allow users to input code snippets and retrieve API-generated review outputs through RESTful service endpoints. Designed REST APIs to accept code inputs and return structured AI responses, enabling browser-based code analysis functionality across developer-facing interface components.
AI-Based Code Documentation Engine
January 1, 2026 – June 1, 2026
Developed a Python-based FastAPI application to generate contextual documentation for user-provided code inputs using OpenAI API integration across RESTful backend service endpoints. Designed API routes to process code snippets and return automatically generated comments supporting developer documentation assistance workflows. Enabled browser-based interaction with backend services to submit code inputs and retrieve AI-generated documentation through API-driven request-response operations.
SmartHomes Retail Automation Platform
January 1, 2026 – June 1, 2026
Built a retail automation platform using JSP Servlets and React to manage product selection, customer registration, and order placement workflows for smart home appliance purchasing scenarios. Integrated MySQL and MongoDB databases to store customer details, product catalogs, and purchase information supporting backend retail transaction and inventory data management modules. Implemented REST-based communication between frontend components and backend services to dynamically retrieve product listings and manage order processing operations within simulated ecommerce workflows.
Cultural Fit Analysis
The candidate's academic projects demonstrate an interest in AI/ML applications, which aligns with innovative and forward-thinking environments. Their professional experience across two different companies (HCL Tech, LTIMindtree) and diverse project types (ecommerce, supply chain, AI platforms) suggests adaptability and a broad skill set. The focus on performance optimization, security, and scalability indicates a commitment to best practices, which is a good cultural fit for high-performing engineering teams. The remote work experience also points to self-sufficiency and effective communication in distributed settings.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight a strong focus on quantifiable improvements (e.g., 'improving checkout success rates by 26%', 'reducing asynchronous order confirmation delays by 34%'), indicating a results-oriented mindset. The emphasis on collaboration with frontend teams and implementing CI/CD suggests an understanding of modern development workflows and teamwork. The academic projects involving AI integration also show an interest in emerging technologies and problem-solving.