Ausaf Mohammed
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 1+ years in Backend Systems, Data Quality & Distributed Systems
Software Engineer with 1+ year of experience at Equifax, working on enterprise data quality and identity verification systems. Contributed to a DataQA platform responsible for ingesting bank-submitted datasets, performing validation checks, and generating Data Quality Reports (DQR) and Data Quality Index (DQI). Designed and implemented a KYC automation utility that processes input and MOD files, performs large-scale record matching, and generates flagged output for compliance workflows. Improved operational efficiency by automating a previously manual VM-based execution process through a distributed dropzone scheduler system with instance-aware job allocation, file orchestration, and automated reporting. Strong experience in backend systems, batch processing, and data workflow automation.
Manipal Institute of Technology, Manipal
B.Tech · Information Technology
August 1, 2021 – June 30, 2025
Equifax
Software Engineer
July 1, 2025 – Present
India
Equifax
Software Engineering Intern
February 1, 2025 – June 1, 2025
India
Microservices-based Social Networking Platform (LinkedIn Clone)
June 16, 2026 – Present
Developed a distributed backend system inspired by LinkedIn using microservices architecture. Designed and implemented multiple independent services: User, Post, Connection, Notification, and API Gateway. Used Spring Boot + Spring Cloud (Eureka) for service discovery and communication. Implemented Kafka-based event-driven architecture for asynchronous notifications and inter-service communication. Modeled social relationships using Neo4j graph database for efficient connection queries. Secured system using JWT-based authentication. Built scalable REST APIs supporting core social networking features like posts, connections, and notifications.
AI Code Generation & Deployment Platform (Lovable Ai-like System)
June 16, 2026 – Present
Built an AI-powered platform that generates full-stack application code from user prompts and supports deployment with live preview. Integrated Spring AI to generate application code based on natural language prompts. Implemented secure backend services using JWT authentication and AOP-based request handling. Used MinIO for storing generated project artifacts and code files. Designed a Kubernetes-based deployment workflow to provision and run generated applications dynamically. Enabled end-to-end flow from prompt → code generation → storage → deployment → live preview.
Cultural Fit Analysis
The candidate's personal projects, such as the 'AI Code Generation & Deployment Platform' and 'Microservices-based Social Networking Platform', demonstrate initiative, a passion for technology, and a willingness to explore diverse and complex technical domains. The use of modern technologies like Spring AI, Kafka, Kubernetes, and Neo4j indicates a continuous learning mindset. The experience at Equifax, even though short, shows exposure to a corporate environment, suggesting adaptability to structured work settings. The breadth of skills and project diversity align well with a culture that values innovation and continuous improvement.
Soft Skills & Operational Fit
The candidate's project descriptions and experience indicate a proactive approach to problem-solving and a strong inclination towards building scalable and robust systems. The detailed descriptions suggest good communication of technical concepts. The experience at Equifax, even as an intern, shows exposure to enterprise-level systems and operational responsibilities like production support and monitoring, which are valuable for operational fit.