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Schedule Interview NowAt Softaims, I’ve found a workplace that thrives on collaboration and purposeful creation. The work we do here is about more than technology—it’s about transforming ideas into results that matter. Every project brings a mix of challenges and opportunities, and I approach them with a mindset of continuous learning and improvement. My philosophy centers around three principles: clarity, sustainability, and impact. Clarity means designing systems that are understandable, adaptable, and easy to maintain. Sustainability is about building with the future in mind, ensuring that the work we do today can evolve gracefully over time. And impact means creating something that genuinely improves how people work, connect, or experience the world. One of the most rewarding aspects of working at Softaims is the diversity of thought that every team member brings. We share insights, question assumptions, and push each other to think differently. It’s this culture of curiosity and openness that drives the quality of what we produce. Every solution we deliver is a reflection of that shared dedication. I’m proud to contribute to projects that not only meet client expectations but also exceed them through thoughtful execution and attention to detail. As I continue to grow in this journey, I remain focused on delivering meaningful outcomes that align technology with purpose.
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DesignEasy helps businesses generate high-converting banners, videos, and carousels using AI and expert refinement. I worked as a full stack engineer, building the platform using Next.js and Node.js. Integrated AI modules for creative generation and built user flows for placing and managing orders. Handled payments via Stripe and deployed the app on AWS ECS with CI/CD using GitHub Actions.
Built an end-to-end solution to automate patient interactions in healthcare using AI Voice Assistants. Developed full-stack platform with Next.js, Node.js, and MongoDB. Integrated Retell AI and Twilio for voice call handling, appointment booking, and call escalation. Designed a custom CRM backend and real-time call analytics dashboard. Implemented LLM-based intent detection for accurate understanding of patient queries. Deployed on AWS ECS with CI/CD pipelines using GitHub Actions. Significantly improved operational efficiency and reduced manual workload for clinics.
Vidur is an AI-powered tool designed to deliver reliable, verified, and up-to-date information on Corporate, Tax, and Regulatory laws. I contributed to both the frontend (Next.js) and backend (Node.js) development. The RAG (Retrieval-Augmented Generation) system powering Vidur was built in-house using a vector database and Anthropic's Claude Sonnet model. I also worked on the Vidur app, which is developed using Flutter.
Bachelor of Technology (BTech) in Information Technology
2013-01-01-2017-01-01