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AI Engineer with less than a year in Python, FastAPI, and Generative AI.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated and results-oriented AI/ML Engineer with 0.8 years of hands-on experience in developing intelligent systems and backend applications. Proficient in Python, FastAPI, React.js, and Generative AI technologies, including LLMs and RAG pipelines. Demonstrated ability in building full-stack web applications and collaborating in Agile environments, leveraging strong problem-solving and optimization skills.
B.S. Abdur Rahman Crescent Institute of Science and Technology
Bachelor of Technology · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Infosys Springboard
Python Technologies Intern
October 1, 2025 – December 1, 2025
India
Edunet Foundation (AICTE)
AI & Machine Learning Intern
June 1, 2025 – July 1, 2025
India
MockMate
December 1, 2025 – June 1, 2026
Built an AI-powered mock interview SaaS web application featuring a FastAPI (Python) backend and React.js frontend. Designed a Retrieval-Augmented Generation (RAG) pipeline utilizing Gemini LLMs, prompt engineering, and vector databases. Engineered agentic-like terminal tool orchestrations to handle user prompts, deploying containerized services via Docker.
SyncBoard
December 1, 2025 – June 1, 2026
Engineered a low-latency real-time collaborative platform using React.js and Spring Boot (STOMP WebSockets) for state syncing. Configured Redis-based distributed caching to optimize message flows, deploying microservices on cloud environments. Set up Prometheus and Grafana visualization dashboards to monitor latency benchmarks and trace application performance.
ShopSphere
December 1, 2025 – June 1, 2026
Developed a full-stack e-commerce application utilizing a responsive React.js frontend and a secure Spring Boot REST API backend. Implemented secure JWT Authentication and database optimizations in MySQL, integrating Git/GitHub for version control. Managed REST API design, documenting backend configurations and Swagger/OpenAPI specifications.
Data Structures & Algorithms in Java
Udemy
June 1, 2026 – Present
Python Fundamentals & Applications
Infosys Springboard
June 1, 2026 – Present
AI & Machine Learning Internship
Edunet Foundation
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's personal projects demonstrate initiative and a strong drive for learning and applying new technologies, particularly in AI/ML and full-stack development. The internships, though short, show exposure to structured environments and Agile methodologies. The breadth of skills and technologies used across projects suggests a curious and versatile individual who could integrate well into a dynamic technical culture. The focus on AI/ML aligns well with the target role, indicating a genuine interest in the field.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration (Agile environment), problem-solving (optimizing backend responsiveness, complexity analysis), and attention to detail (documentation, monitoring). These indicate a good operational fit for a team-oriented, data-driven role. The diversity of projects suggests adaptability and a proactive learning attitude.