Anshu Naskar

Lead MERN Engineer

https://www.opentalent.in/anshu-naskar

Swami Vivekananda University Barrackpore

Key Strengths

Proficiency in MERN stack technologies (React.js, Node.js, Express.js, MongoDB) as demonstrated by project experience.
Experience with full-stack development, including both frontend (React, HTML, CSS, Tailwind CSS) and backend (Node.js, Express, Django, FastAPI).
Familiarity with various database systems including MongoDB, PostgreSQL, MySQL, and Supabase.
Exposure to API development (RESTful, GraphQL) and API security concepts (JWT, OAuth).
Understanding of DevOps tools and practices (Git, Github, Docker, CI/CD, AWS cloud services) from internship experience.
Experience with LLM integration, Prompt Engineering, and related AI technologies (Groq API, Ollama, RAG) in a project context.
Demonstrated ability to build responsive UI/UX and optimize application performance.
Academic background in Computer Science and Engineering with a 7.86 CGPA.

Cultural & Operational Fit

Cultural Fit Analysis

The provided psychometric test score of 0 offers no objective data to assess cultural fit, including aspects like work attitude, stress handling, or team collaboration. Therefore, a cultural fit analysis cannot be performed based on the given information.

Soft Skills & Operational Fit

Based on the resume, the candidate has experience collaborating in a cross-functional team and following Agile practices during an internship. Project descriptions indicate an ability to deliver functional applications with some performance considerations. However, the provided psychometric test score of 0 indicates a complete lack of objective data regarding logical reasoning, work attitude, stress handling, and team collaboration, making a definitive assessment of soft skills and operational fit impossible.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

MERN stack and AI/ML-focused developer with experience in full-stack web development, IoT systems, and edge computing projects. Built and deployed projects including an e-commerce platform and an AI-based railway safety & obstacle detection system integrating ESP32, sensors, drones, and machine learning concepts. Skilled in JavaScript, React, Node.js, Python, SQL, Power BI, and Microsoft Office tools, with strong problem-solving, product thinking, and collaborative development experience.

Key Strengths

Proficiency in MERN stack technologies (React.js, Node.js, Express.js, MongoDB) as demonstrated by project experience.
Experience with full-stack development, including both frontend (React, HTML, CSS, Tailwind CSS) and backend (Node.js, Express, Django, FastAPI).
Familiarity with various database systems including MongoDB, PostgreSQL, MySQL, and Supabase.
Exposure to API development (RESTful, GraphQL) and API security concepts (JWT, OAuth).
Understanding of DevOps tools and practices (Git, Github, Docker, CI/CD, AWS cloud services) from internship experience.
Experience with LLM integration, Prompt Engineering, and related AI technologies (Groq API, Ollama, RAG) in a project context.
Demonstrated ability to build responsive UI/UX and optimize application performance.
Academic background in Computer Science and Engineering with a 7.86 CGPA.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Anshu Naskar

Key Strengths

Cultural & Operational Fit

About

Skills

Education

Key Strengths

Cultural & Operational Fit