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Fullstack Developer with 1+ years in MERN Stack & Cloud
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Collaborated across the SDLC from requirement gathering to production releases, including automated build and deployment workflows.
Rajasthan Technical University, Kota
Bachelor of Technology
August 1, 2018 – June 30, 2022
WTicabs (Wise Travel India Ltd.)
Full Stack Developer
April 1, 2024 – Present
India
Freelance
Full Stack Developer
August 1, 2023 – March 1, 2024
India
Wticabs Dashboard - B2B Travel Agent Portal
May 29, 2026 – Present
Developed backend for the Wticabs B2B dashboard, enabling travel agents to onboard, book, manage (cancel/modify), and generate markup receipts for cab bookings. Implemented role-based website themes and dynamic inventory pricing. Built automated commission calculation based on monthly booking revenue slabs.
View ProjectAgentic Voice Assistant (AVA) - LLM-Orchestrated AI Agent
May 29, 2026 – Present
Built a planner-based AI agent using Node.js and OpenAI Agents SDK with dynamic tool execution, streaming responses, runtime context management, and human-in-the-loop (HITL) approvals.
View ProjectWTicabs.com - Global Cab Booking Platform
May 29, 2026 – Present
Wticabs.com, a global cab booking platform enabling users to book cabs across India, Dubai, and London. Supported four transportation services: airport transfers, outstation one-way, outstation round trips, and local hourly rentals. Integrated webhook-driven payment gateways (Stripe, Razorpay), increasing successful transaction rates to 99% that significantly minimized payment failures, supporting multi-currency payments with real-time currency conversion. Leveraged MERN stack expertise to build scalable APIs, manage database operations.
View ProjectCultural Fit Analysis
The candidate exhibits a strong cultural fit for a FullStack (MERN) Developer role. Their professional and personal projects are highly relevant and showcase a deep commitment to the MERN ecosystem. The diversity of projects (global booking platform, B2B portal, AI agent) demonstrates versatility and a willingness to explore new domains. The initiative to build an LLM-orchestrated AI agent indicates a proactive, curious, and growth-oriented mindset, which is highly desirable in a dynamic technical environment. The quantifiable achievements suggest a focus on delivering tangible business value.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through complex integrations and performance optimizations. Their ability to quantify achievements suggests an impact-driven and results-oriented mindset. The personal AI project highlights proactive learning and innovation. Collaboration is implied through working with UX designers and across the SDLC. The diverse project portfolio indicates adaptability and a broad technical interest.