Help & Supportcareers@gravityer.com
Full Stack Engineer with 1+ years in React, Node.js & DevOps
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full-stack Software Engineer with deep expertise across diverse data paradigms (SQL, NoSQL, and Caching) and mastery of both infrastructural scaling and advanced data modeling. Possesses strong debugging expertise across UI, services, database, and infrastructure layers. A lifelong Linux enthusiast with terminal-native mastery. Focuses on high-ownership, impact-focused DSA, distributed systems, backend scalability, and cross-stack debugging.
KIT's College of Engineering, Kolhapur
Master of Technology · Data Science
August 1, 2023 – June 30, 2025
KIT's College of Engineering, Kolhapur
Bachelor of Technology · Computer Science
August 1, 2017 – June 30, 2021
MeltX Software Solutions
Full Stack Developer
July 1, 2025 – Present
Pune, Maharashtra, India
Laurel Technologies
Full Stack Developer Intern
February 1, 2021 – May 1, 2021
Kolhapur, Maharashtra, India
Uniwings - ERP system for colleges leveraging ML
May 29, 2026 – Present
Developed a multi-tenant yet customizable ERP web application, streamlining administrative processes and contributing to the digital transformation of educational institutions. Architected in stateless manner so that it is ready to scale horizontally in cloud environments particularly using Docker. Stateless techniques like JWT and database switching based on tenant has been used to achieve this. Dynamic generation and management of most of things like forms, user interface, grid, routes and access control allowing to add customizability based on declarative configuration (json) in multi-tenant environment.
View ProjectFull-Stack DevOps Automation - Self-Directed DevOps Simulation
May 29, 2026 – Present
Designed and implemented a self-directed DevOps project to simulate real-world production environments, rapidly developing expertise in CI/CD pipelines, Kubernetes, Jenkins, and microservices architecture. Deployed a multi-service application on Minikube, gaining hands-on experience with Kubernetes components such as Pods, Services, Deployments, ConfigMaps, and Persistent Volumes. Integrated Jenkins pipelines to automate build, and deployment workflows, developing understanding of pipeline-as-code, and rollback strategies increasing deployment efficiency by over 80% in project iterations. Used Linux as the primary environment for application development and deployments, configuring services and resolving runtime issues encountered during deployment and testing.
View ProjectCultural Fit Analysis
The candidate exhibits a strong drive for continuous learning and self-improvement, pursuing a Master's in Data Science while actively engaging in complex personal projects. Their diverse project portfolio (ERP, DevOps, chatbot, hotel app) showcases adaptability and a willingness to tackle various technical challenges. The emphasis on ownership and impact aligns well with a results-oriented culture. The breadth of technical skills and architectural thinking suggests a candidate who is eager to explore new solutions and contribute across the entire development stack.
Soft Skills & Operational Fit
The candidate explicitly states being 'High-Ownership, Impact-Focused' and demonstrates this through detailed descriptions of problem-solving, performance optimization, and architectural contributions. Their 'Self-Directed DevOps Simulation' project highlights strong initiative and a proactive approach to learning and practical application. A 'lifelong Linux enthusiast' indicates deep technical curiosity and foundational operational understanding. The focus on reusable components and shared UI libraries suggests an appreciation for team productivity and maintainable codebases.