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Software Engineer with 4+ years in Full Stack, AI & Cloud.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A software engineer (full stack) with 4 years of experience in developing scalable enterprise applications and cloud-native solutions. Specialising in springboot, microservices, REST APIs, Vue.js, React.js and Azure Cloud with a focus on optimisation and modular design.
Manipal Institute of Technology
B.Tech
July 1, 2018 – July 1, 2022
Mercedes Benz Research and Development of India
Software Engineer
August 1, 2023 – Present
Bengaluru, Karnataka, India
Mercedes Benz Research and Development of India
Graduate Engineer Trainee
August 1, 2022 – August 1, 2023
Bengaluru, Karnataka, India
Mercedes Benz Research and Development of India
Intern
April 1, 2022 – August 1, 2022
Bengaluru, Karnataka, India
AI Text Processor
March 1, 2026 – June 30, 2026
Scalable AsyncIO-driven LLM pipeline for high-concurrency document analysis, featuring Pydantic validation and RESTful data exposure. The application takes a directory of text files and: Reads all files concurrently from the input directory Sends content to LLM API (OpenAI/Azure) in parallel using AsyncIO Analyzes each document for sentiment, category, and key points Validates all responses using Pydantic models Saves structured JSON results with timestamps Exposes results via REST API endpoints Real-world use case: Processing customer feedback, support tickets, or product reviews at scale.
Cultural Fit Analysis
The candidate's experience at Mercedes Benz R&D, a large enterprise, suggests an ability to work within structured environments and contribute to complex projects. The diversity of technologies (Java, Python, JavaScript frameworks, cloud, AI) and project types (backend, frontend, infrastructure, AI/ML) indicates adaptability and a broad interest in modern tech stacks. The personal project further showcases initiative and a proactive learning attitude.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through experience in optimizing CI pipelines, enhancing API performance, and managing complex deployments. Their involvement in requirement refinement sessions indicates good communication and collaboration skills. The project descriptions are clear and highlight problem-solving abilities.