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Schedule Interview NowBeing part of Softaims has allowed me to see the full spectrum of what technology can achieve when guided by empathy, discipline, and creativity. Each assignment, regardless of size, represents an opportunity to bring clarity to complexity and to turn ambitious ideas into tangible outcomes. I’ve come to realize that successful development isn’t just about writing code—it’s about listening carefully, understanding deeply, and designing thoughtfully. Every client brings unique challenges, and I make it a priority to align my work with their goals, ensuring that the end result is both effective and lasting. Softaims fosters an environment where collaboration is not optional—it’s essential. The collective expertise within the team pushes me to think beyond conventional boundaries, to question, refine, and innovate. I believe that this process of shared learning and experimentation is what makes our solutions resilient and impactful. My ultimate goal is to build technology that feels effortless to use yet powerful in function. I approach every task with the mindset that small details can make a big difference. Through continuous refinement and dedication, I aim to contribute to the kind of work that not only serves today’s needs but anticipates tomorrow’s possibilities.
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AI Voice Agent was developed using Python, n8n, and Make (Integromat) to automate voice-based interactions and streamline workflows. I built the core logic in Python, integrating speech-to-text and natural language processing models to understand user input and generate contextual responses. Using n8n, I created automated workflows that connected the voice agent with external services (CRM, email, databases), while Make was used to orchestrate complex multi-step automations, ensuring data synchronization and task execution without manual intervention.
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Live Link: https://brighter.ai/ Brighter AI is an advanced image recognition platform that I developed as a Full Stack AI Developer and AI Integration Specialist, leveraging Python, OpenAI, and automation tools like Zapier. The platform uses AI-powered computer vision to detect, classify, and extract meaningful information from images in real time, supporting use cases like content moderation, visual search, and metadata tagging. I built the core image processing pipeline in Python, integrating OpenAI APIs for enhanced labeling and semantic analysis,.
U4RIA is an AI-powered health and fitness application built with Python and React, designed to provide users with personalized workout plans, nutrition guidance, and real-time progress tracking. The app leverages advanced AI algorithms to analyze user data and deliver tailored recommendations, while seamlessly integrating with wearable devices and health APIs to track steps, heart rate, and calories. With an intuitive and responsive React interface, users enjoy a smooth experience across web and mobile, supported by a scalable Python backend optimized for performance and growth.
Bachelor of Computer Applications in Computer science
2013-01-01-2017-01-01