Danish Ansari

FullStack (Mern) Developer

https://talent.gravityer.com/danish-ansari

FullStack (Mern) Developer with 1+ years in MERN stack & AI integration.

Key Strengths

Exceptional proficiency in Full-Stack MERN development, including React.js, Node.js, Express.js, and MongoDB, demonstrated through multiple complex projects.
Advanced understanding and practical application of modern web technologies and frameworks such as Next.js, Docker, and various ORMs (Prisma, Drizzle).
Strong capabilities in system design and architecture, including RAG (Retrieval-Augmented Generation) systems, event-driven workflows (Inngest), and robust API design.
Proven ability to implement secure authentication and authorization systems (JWT, OAuth, RBAC) and optimize database performance through indexing, query tuning, and caching (Redis).
Experience with CI/CD pipelines (GitHub Actions), comprehensive testing strategies (Jest, Vitest, Cypress), and performance optimization techniques (code splitting, lazy loading, Lighthouse scores).
Demonstrated ability to build scalable, high-performance applications with a focus on real-world applicability and enterprise-grade security.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data to assess cultural fit due to a psychometric test score of 0/500. This score indicates a critical lack of data or a severe mismatch, requiring further investigation.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit due to a psychometric test score of 0/500. This score indicates a critical lack of data or a severe mismatch, requiring further investigation.

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

Full-Stack MERN Developer with deep expertise in React.js, Next.js, Node.js, Express.js, and MongoDB. Specialized in building scalable, high-performance web applications with sub-150ms response times and reusable component architectures. Strong background in AI integration (RAG systems, Pinecone, OpenAI/Gemini APIs), modern authentication systems (JWT, OAuth), and cloud deployment (AWS, Docker, CI/CD). Proven ability to optimize application performance, reduce query latency by 30%, and deliver production-grade solutions. Experienced in translating Figma designs into pixel-perfect interfaces and implementing DRY principles for maintainable codebases. Seeking full-time opportunities in Bangalore startup ecosystem.

Top Skills

React.jsRestful ApisHTML5Next.Js

Experience

noDevBuild LLP

Full-Stack Developer Intern

October 1, 2025 – Present

BYTECOMMERCE PVT LTD

Backend Developer Intern

April 1, 2025 – June 1, 2025

Primeox

Frontend Developer (Freelance)

January 1, 2025 – March 1, 2025

Projects

ReviewyAI

May 5, 2026 – Present

Architected full-stack SaaS platform delivering senior-level Pull Request reviews within seconds using RAG (Retrieval-Augmented Generation) architecture. Implemented Pinecone vector database for semantic code indexing and context-aware analysis, enabling deep codebase understanding beyond simple diff checking. Designed RESTful API backend using Node.js and Express.js with Prisma ORM, achieving sub-150ms response times through optimized database queries. Built event-driven workflow engine using Inngest for reliable PR processing, queue management, and automated review delivery. Integrated GitHub API for webhook handling, OAuth authentication, and automated PR commenting with enterprise-grade security. Implemented subscription management system using Polar SDK with usage-based billing, tier-based access control, and automatic limit enforcement.

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Notive

May 5, 2026 – Present

Built production-grade full-stack application with rich-text editing using TipTap editor, supporting markdown, code blocks, and real-time formatting. Implemented comprehensive authentication system using Better Auth with Google OAuth 2.0, JWT tokens, email verification, and password reset workflows. Architected normalized PostgreSQL database schema using Drizzle ORM with one-to-many relationships and cascade deletion for data integrity. Optimized database queries with strategic indexing and query planning, achieving sub-150ms response times for all major endpoints. Developed RESTful API layer with input validation, error handling middleware, and rate limiting for production reliability.

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Shotsy

May 5, 2026 – Present

Engineered AI-powered platform converting text prompts into professional short-form videos, integrating 3 AI services: Murf AI (voice synthesis), AssemblyAI (subtitles), Google Gemini (content enhancement). Containerized application using Docker with multi-stage builds, reducing image size by 60% and enabling consistent cross-platform deployments. Established CI/CD pipeline using GitHub Actions for automated testing, building, and deployment to Vercel with zero-downtime releases. Achieved 95% test coverage implementing comprehensive testing strategy with Jest (unit), Vitest (component), and Cypress (E2E).

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CodeDrop

May 5, 2026 – Present

Built full-stack MERN application with modular React component architecture and Express.js backend following MVC design pattern. Implemented JWT-based authentication with refresh token rotation, password hashing, and role-based access control (RBAC) for secure user management. Designed MongoDB aggregation pipelines for advanced search functionality, tag-based filtering, and efficient data retrieval across 500+ code snippets. Optimized API response times from 450ms to 180ms through database indexing, query optimization, and implementation of Redis caching layer.

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Key Strengths

Exceptional proficiency in Full-Stack MERN development, including React.js, Node.js, Express.js, and MongoDB, demonstrated through multiple complex projects.
Advanced understanding and practical application of modern web technologies and frameworks such as Next.js, Docker, and various ORMs (Prisma, Drizzle).
Strong capabilities in system design and architecture, including RAG (Retrieval-Augmented Generation) systems, event-driven workflows (Inngest), and robust API design.
Proven ability to implement secure authentication and authorization systems (JWT, OAuth, RBAC) and optimize database performance through indexing, query tuning, and caching (Redis).
Experience with CI/CD pipelines (GitHub Actions), comprehensive testing strategies (Jest, Vitest, Cypress), and performance optimization techniques (code splitting, lazy loading, Lighthouse scores).
Demonstrated ability to build scalable, high-performance applications with a focus on real-world applicability and enterprise-grade security.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data to assess cultural fit due to a psychometric test score of 0/500. This score indicates a critical lack of data or a severe mismatch, requiring further investigation.

Soft Skills & Operational Fit

Danish Ansari

Key Strengths

Cultural & Operational Fit

About

Top Skills

Skills

Education

Experience

Projects

Certifications

Key Strengths

Cultural & Operational Fit