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Fullstack Engineer with 4+ years in AI/GenAI, MERN, Java, and Cloud Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced Fullstack Developer with 4.5 years of expertise in building and deploying scalable web applications, specializing in AI/GenAI, MERN stack, and Java Spring Boot. Proven ability to design high-performance APIs, implement secure authentication, and manage containerized deployments with CI/CD pipelines on AWS. A strong collaborator focused on translating business requirements into robust automation solutions.
Jaipur Engineering College And Research Centre
Bachelor of Technology · Electronics & Communication Engineering
August 1, 2018 – June 30, 2022
Control Print Ltd
GEN AI FULL STACK DEVELOPER
August 1, 2025 – Present
Noida, Uttar Pradesh, India
Softworld India Pvt. Ltd
MERN STACK DEVELOPER
August 1, 2023 – August 1, 2025
India
EEHO
FULL STACK DEVELOPER
October 1, 2022 – July 1, 2023
Gurgaon, Haryana, India
WIPRO
JAVA FULL STACK DEVELOPER (Intern)
January 1, 2022 – August 1, 2022
Gurgaon, Haryana, India
AWS Cloud Practitioner Certificate (CLF-101)
AWS
May 1, 2025 – Present
Developer training
Great learning (via wipro)
March 1, 2022 – Present
Cultural Fit Analysis
The candidate has worked in various roles from intern to GEN AI Full Stack Developer across different companies, demonstrating adaptability and a willingness to take on new challenges. The breadth of technologies and architectural patterns used (MERN, NestJS, Spring Boot, event-driven, microservices, AI integration) suggests a strong desire for continuous learning and a versatile skill set, which aligns well with dynamic, innovation-driven environments. The AWS Cloud Practitioner certification further supports a proactive learning attitude.
Soft Skills & Operational Fit
The candidate's resume indicates collaboration with product and business teams, suggesting good cross-functional communication. Experience in L2 production support implies problem-solving and debugging skills under pressure. The diverse project experience points to adaptability and a proactive approach to learning new technologies.