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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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Developed a real-time AI voice avatar for interactive Q&A, leveraging Python, FastAPI, and Django for backend, Whisper for speech recognition, OpenAI GPT for natural language understanding, and ElevenLabs for voice synthesis. Designed and implemented real-time processing pipelines, scalable architecture, and multi-user handling to ensure smooth, accurate, human-like conversations, delivering a responsive, engaging, and fully interactive AI-driven voice experience for live applications.
Developed an AI-powered document reading and Q&A chatbot that lets users upload PDF, Word, or text files and interact with them through natural conversation. Built with Python (Django), SpaCy, Transformers, and a RAG model for accurate answers. Data stored in PostgreSQL/MongoDB, deployed on AWS with scalable APIs. Designed a Next.js for a smooth, responsive user experience.
A custom AI chatbot tailored for HVAC engineers, designed to handle technical queries, deliver troubleshooting assistance, and support project documentation through a domain-specific knowledge base. The system leverages Python with Django and modern NLP frameworks such as SpaCy and Transformers, with AI/ML models fine-tuned on HVAC data. Knowledge is stored in PostgreSQL/MongoDB, while deployment is managed on AWS/Azure with scalable API integrations. The front end is built with React and Tailwind for an intuitive, responsive user experience.
This custom GPT is trained on MeTutors’ internal knowledge base using OpenAI’s GPT-4, LangChain for orchestration, and Pinecone for semantic vector search. It accurately handles tutor-student workflows, platform policies, and support queries in real time. Internal documents, SOPs, and FAQs are converted into embeddings via OpenAI’s API to deliver context-rich, reliable responses. Built using Python, FastAPI, and JavaScript, the system is fully integrated into the platform, providing scalable, automated assistance with minimal human intervention.
The platform utilizes TensorFlow for deep learning-based face swapping, with AI and ML models for accurate identity mapping. Django manages the backend, while AWS provides scalable, secure infrastructure with GPU-accelerated instances for fast, real-time processing. User privacy is prioritized with encrypted, stateless processing, ensuring no data or outputs are stored, making the platform both secure and anonymous.
Bachelor of Computer Science (BCompSc) in Software Development
2013-01-01-2017-01-01