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Full Stack Engineer with 1+ years in MERN, AI/ML & 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
Versatile MERN Stack Developer with 1.2+ year of experience building production-grade web applications and AI-powered systems. Hands-on expertise in Node.js, React, MongoDB, PostgreSQL, and AWS Lambda, with demonstrated ability to deliver live integrations (HubSpot × Basecamp, Slack, ClickUp, Google Calendar). Currently expanding into Agentic AI — RAG pipelines, LangChain, vector databases, and LLM integration — bridging full-stack engineering with modern AI development.
Government Engineering College, Gandhinagar (GTU)
Bachelor of Engineering · Information Technology
August 1, 2021 – June 30, 2025
Sett R.J.J. High School, Valsad (GSHSEB)
HSC · Science – Group A
June 1, 2019 – May 31, 2021
Shramajivi Madhyamik Shala, Valsad (GSEB)
SSC
June 1, 2018 – May 31, 2019
eSparkBiz Technologies Pvt. Ltd.
Software Developer
January 1, 2025 – Present
Ahmedabad, Gujarat, India
PromptMetrics AI Platform
June 27, 2026 – Present
• Built a production AI platform for prompt observability — capturing every LLM execution with full metadata: prompt, model, token usage, cost, latency, and error logs. • Developed RBAC system with 4 roles (Admin, Member, Viewer, Compliance Officer) and workspace-level multi-tenancy isolating all data, usage limits, and billing per client.
MM Sales-to-Service Handover System
June 27, 2026 – Present
• Built end-to-end HubSpot CRM integrations with Basecamp, Slack, ClickUp, and Google Calendar using Node.js and AWS Lambda serverless functions. • Automated lead sync across 4 platforms, reducing manual data entry by 40%. • Implemented exponential backoff retry logic across all API integrations, achieving 99%+ uptime and zero manual intervention on transient failures.
Cultural Fit Analysis
The candidate's projects demonstrate a focus on building practical, impactful solutions (CRM integrations, AI observability platform). The exposure to both traditional web development and emerging AI technologies suggests a proactive and adaptable mindset. The multi-tenant and RBAC system development indicates an understanding of enterprise-level requirements and potentially a collaborative approach to feature development. The listed education and single professional experience show a consistent, focused career path. However, the limited professional experience (less than 1.5 years) might indicate a need for mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills (automating data entry, ensuring high uptime) and an understanding of system reliability. The development of an RBAC system and multi-tenancy indicates an awareness of security and operational best practices. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills like teamwork, stress handling, or communication clarity in a live setting is not possible.