KAUSTUBH PAWAR

Software Developer with less than a year in scalable web applications & REST APIs.

Sumago Infotech Pvt. Ltd

Savitribai Phule Pune University

Nashik, Maharashtra, India

Since April 23, 2026

About

MERN Stack Developer and M.Sc. Computer Science candidate (2026) with 8+ months of production experience building scalable web applications using React.js, Node.js, Express.js, and MongoDB. Shipped 4 production REST APIs for a multi-tenant SaaS platform, reducing endpoint latency by ~31%. Skilled in writing clean, scalable, and efficient JavaScript (ES6+) code with HTML, CSS, REST APIs, and Git-based version control. Strong problem-solving ability and cross-functional team collaboration. Targeting MERN Stack Developer roles (0-2 years) where full-stack ownership and optimized application performance deliver measurable product impact.

Top Skills

Express.JsRest ApisGitPostgresqlRbac

Skills

HTML5Css3typescriptPythonSQLNode.JsExpress.JsRest ApisRbacDockerReact.jsTailwind CssBootstrapMongoDBPostgresqlMysqlRedisreduxGitGithubPostmanCelery

Education

Savitribai Phule Pune University

Master of Science · Computer Science

July 1, 2024 – June 1, 2026

Savitribai Phule Pune University

Bachelor of Science · Computer Science

August 1, 2021 – June 1, 2024

Experience

Sumago Infotech Pvt. Ltd

Software Developer

August 1, 2025 – Present

Projects

Video Upload, Sensitivity Processing & Streaming App

February 1, 2026 – April 1, 2026

Developed a full-stack MERN video platform (MongoDB, Express.js, React.js, Node.js) with JWT/RBAC (admin/editor/viewer); built responsive React.js UI with HTML/CSS and integrated REST APIs with HTTP range-request streaming and Socket.io for real-time status; maintained scalable, efficient component-level code. Integrated an AI content-sensitivity pipeline that auto-flags policy-violating videos on upload, cutting manual review time by 60% across 200+ test videos in internal QA; demonstrated end-to-end MERN stack ownership from REST API design to React.js UI, writing clean and scalable code throughout.

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DSA-CRM Loan Management System

November 1, 2025 – January 1, 2026

Built a multi-role loan CRM (Node.js, Express.js + MongoDB, 15+ normalized tables) with automated loan-lifecycle state machine, event-driven notifications, and immutable audit trails; collaborated with a cross-functional team, reducing manual processing steps by 50% while maintaining clean, scalable JavaScript code.

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Sync AI - Emotion to Action Translator

August 1, 2025 – November 1, 2025

Trained a CNN speech-emotion classifier on RAVDESS (8 classes, 88% test accuracy) and fine-tuned DistilBERT for sentiment analysis (90%+ precision); combined both models into a real-time pipeline that maps detected emotion to contextual system actions.

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Resume & Job Match Analyzer

February 1, 2025 – March 1, 2025

Built an NLP resume-screening tool using TF-IDF vectorization and cosine similarity to rank candidates against job descriptions; achieved 92% matching accuracy on a manually labelled evaluation set of 200+ resume-job pairs. Processed 1,000+ resumes in batch and automated role-matched job-alert emails, eliminating the need for manual shortlisting at the top-of-funnel stage.

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Key Strengths

Strong full-stack development capabilities, particularly with the MERN stack (MongoDB, Express.js, React.js, Node.js).
Demonstrated proficiency in database design, optimization, and performance tuning for both SQL (PostgreSQL) and NoSQL (MongoDB) databases, including schema normalization, indexing, and query optimization.
Experience with containerization (Docker) and automation of CI/CD pipelines (GitHub Actions) for efficient deployment and release management.
Solid understanding and implementation of secure RESTful APIs, including JWT-based authentication and Role-Based Access Control (RBAC).
Proven ability to develop scalable applications, evidenced by performance improvements (e.g., reducing endpoint latency, cutting report generation time).
Exposure to AI/ML concepts and integration, such as NLP for resume screening and CNN/DistilBERT for emotion/sentiment analysis, showcasing versatility and problem-solving skills.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0/500 raises critical concerns about the candidate's cultural fit, specifically regarding team collaboration and overall work attitude. This suggests potential difficulties in integrating into a team-oriented culture.

Soft Skills & Operational Fit

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Identifying your key strengths…

Evaluating your skill match against the job requirements…

Key Strengths

Strong full-stack development capabilities, particularly with the MERN stack (MongoDB, Express.js, React.js, Node.js).
Demonstrated proficiency in database design, optimization, and performance tuning for both SQL (PostgreSQL) and NoSQL (MongoDB) databases, including schema normalization, indexing, and query optimization.
Experience with containerization (Docker) and automation of CI/CD pipelines (GitHub Actions) for efficient deployment and release management.
Solid understanding and implementation of secure RESTful APIs, including JWT-based authentication and Role-Based Access Control (RBAC).
Proven ability to develop scalable applications, evidenced by performance improvements (e.g., reducing endpoint latency, cutting report generation time).
Exposure to AI/ML concepts and integration, such as NLP for resume screening and CNN/DistilBERT for emotion/sentiment analysis, showcasing versatility and problem-solving skills.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit