Satwik Mohanty

DRIEMS University

Bhubaneshwar, Odisha, India

Since April 21, 2026

About

Full-Stack Software Engineer with strong expertise in building scalable, high-performance web systems using Next.js, Node.js, and TypeScript. I specialize in system design, microservices architecture, and real-time applications using WebSockets and event-driven patterns. I have built production-grade projects like AI-powered financial systems and healthcare platforms, focusing on performance optimization, clean architecture, and reliability. Passionate about solving complex engineering problems and continuously improving system efficiency.

Skills

MERN StackFull Stack DevelopmentBackend Development

Education

DRIEMS University

B.Tech · Computer science

October 19, 2022 – May 4, 2026

Key Strengths

Strong academic background (B.Tech CS, 8.1 CGPA) with a focus on computer science.
Extensive project experience showcasing full-stack development, microservices, real-time communication (WebSockets, Redis Pub/Sub), and database management (PostgreSQL, MongoDB, Prisma, Mongoose).
Proficiency in modern JavaScript ecosystem technologies including Node.js, NestJS, React, Next.js, and TypeScript.
Demonstrated strong problem-solving and algorithmic skills through competitive programming achievements (LeetCode Top 35%, GFG Top 8, Codeforces).
Experience with advanced architectural concepts such as RAG pipelines, Read-Model Aggregation, Async Task Orchestration, Atomic Synchronization, and Soft-Deletion Protection.
The candidate's technical skills and project portfolio align very well with the requirements for a Node.js Developer role, particularly in backend development, API design, and scalable system architecture.

Skill Analysis

General Technical Aptitude

★★★★★

The candidate scored 0% on the general technical assessment, indicating either a complete lack of understanding in the evaluated areas or that the test was not attempted/submitted correctly. This significantly impacts the overall technical assessment.

problem solvingcoding logictechnical accuracypractical implementation

Strengths

Insufficient data to determine strengths based on this score.

Limitations

Complete failure to demonstrate problem-solving abilities.
Lack of coding logic and technical accuracy.
Inability to apply practical implementation skills.
This score raises significant concerns about fundamental technical competence if the test was attempted.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 70% indicates a generally positive but not outstanding cultural fit. Areas like work attitude and team collaboration are assessed as acceptable. The consistent GitHub contributions mentioned in achievements suggest discipline and a collaborative mindset within a development context. Further assessment in an interview would be beneficial to fully gauge cultural alignment.

Soft Skills & 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

Key Strengths

Strong academic background (B.Tech CS, 8.1 CGPA) with a focus on computer science.
Extensive project experience showcasing full-stack development, microservices, real-time communication (WebSockets, Redis Pub/Sub), and database management (PostgreSQL, MongoDB, Prisma, Mongoose).
Proficiency in modern JavaScript ecosystem technologies including Node.js, NestJS, React, Next.js, and TypeScript.
Demonstrated strong problem-solving and algorithmic skills through competitive programming achievements (LeetCode Top 35%, GFG Top 8, Codeforces).
Experience with advanced architectural concepts such as RAG pipelines, Read-Model Aggregation, Async Task Orchestration, Atomic Synchronization, and Soft-Deletion Protection.
The candidate's technical skills and project portfolio align very well with the requirements for a Node.js Developer role, particularly in backend development, API design, and scalable system architecture.

Skill Analysis

General Technical Aptitude

★★★★★

problem solvingcoding logictechnical accuracypractical implementation

Strengths

Insufficient data to determine strengths based on this score.

Limitations

Complete failure to demonstrate problem-solving abilities.
Lack of coding logic and technical accuracy.
Inability to apply practical implementation skills.
This score raises significant concerns about fundamental technical competence if the test was attempted.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

MERN Stack Development

★★★★★

65%

The candidate demonstrated foundational understanding of MERN stack components, achieving 65% on the intern-level assessment. This indicates a grasp of core concepts but suggests areas for deeper proficiency.

JavaScriptMongoDBCSSNode.jsReactNoSQLSass

Strengths

Demonstrated foundational understanding of core JavaScript and Node.js concepts.
Familiarity with MongoDB and NoSQL principles.
Basic proficiency in React for front-end development.

Limitations

Potential gaps in advanced MERN patterns or best practices.
CSS/Sass application might require further refinement.
Specific areas within Node.js or React may need deeper exploration for production-grade applications.