Key Strengths

Strong foundational knowledge in Python, JavaScript, and SQL.
Hands-on experience with MERN stack development (MongoDB, Express.js, React.js, Node.js).
Experience in building REST APIs and managing databases.
Familiarity with SDLC practices, Git, and GitHub for collaborative development.
Exposure to AWS cloud services (EC2, S3) for deployment.
Experience with AI/ML concepts including RAG pipelines, vector embeddings, and prompt engineering.
Developed full-stack applications with real-world use cases (e.g., AI-Powered Restaurant Menu Chatbot, Online Exam System).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate demonstrates a strong interest in both full-stack development and AI engineering, aligning with a target role that often requires adaptability and continuous learning. The project diversity, including an AI-powered startup funding agent and an online exam system, shows initiative and a breadth of technical interests. The candidate's current academic status and internship experience suggest a proactive approach to skill acquisition. However, the lack of extensive professional experience means cultural fit in a fast-paced, senior-level environment would need further validation.

Soft Skills & Operational Fit

The candidate lists Analytical Thinking, Problem Solving, Communication, and Teamwork as soft skills. The project descriptions indicate some level of problem-solving and teamwork through collaborative development and system design. However, without direct interview data, the depth of these skills cannot be fully assessed. The candidate's experience is primarily academic and internship-based, suggesting a need for further development in operational best practices and handling complex production environments.

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Prabakar P

Software Engineer, Fullstack

https://www.opentalent.in/prabakar-p

Vellore Institute Of Technology

Vellore Institute of Technology, Vellore

Vellore, Tamil Nadu, IndiaMember since June 5, 2026

https://www.opentalent.in/prabakar-p

About

Final-year Integrated M.Tech Software Engineering student at VIT Vellore with hands-on experience in Full Stack Development, Backend Engineering, and AI-powered applications. Skilled in Python, JavaScript, FastAPI, Node.js, React, Next.js, SQL, MongoDB, and AWS. Built and deployed projects involving RAG pipelines, LLM integrations, REST APIs, automation workflows, and cloud-based systems. Passionate about building scalable software, solving real-world problems, and leveraging AI to create impactful products.

Skills

PostmanFastapiPythonJavaJavascript TypescriptMongoDBReact.jsExpress.JsNode.jsAI EngineerAPI / Integration (Scanners, Connectors)API IntegrationAWSRAG (Retrieval-Augmented Gener ation)Restful ApiSdlcAgile

Education

Vellore Institute of Technology, Vellore

M.Tech · Software Engineering

August 7, 2022 – April 14, 2027

Experience

Vellore Institute Of Technology

AI and Full-Stack Developer Intern

May 31, 2025 – July 30, 2025

Vellore, Tamil Nadu, India

Key Strengths

Strong foundational knowledge in Python, JavaScript, and SQL.
Hands-on experience with MERN stack development (MongoDB, Express.js, React.js, Node.js).
Experience in building REST APIs and managing databases.
Familiarity with SDLC practices, Git, and GitHub for collaborative development.
Exposure to AWS cloud services (EC2, S3) for deployment.
Experience with AI/ML concepts including RAG pipelines, vector embeddings, and prompt engineering.
Developed full-stack applications with real-world use cases (e.g., AI-Powered Restaurant Menu Chatbot, Online Exam System).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit