Software Engineer specializing in AI, Machine Learning, and NLP, with expertise in high-fidelity UI/UX design. Building intelligent, user-centric solutions from architecture to prototype.
I am a Software Engineering graduate with a strong dual focus on advanced Artificial Intelligence and highly intuitive UI/UX design. My approach to development bridges the gap between complex algorithmic backends and seamless, user-centric interfaces.
On the AI and engineering side, I specialize in developing custom machine learning architectures, deep learning models, and natural language processing solutions. I have hands-on experience building specialized, multi-layer agent swarms and logic-driven frameworks. My past projects include autonomous pedagogical AI tutoring platforms, cross-attention legal reasoning engines designed to analyze conflicting text, and multi-source data pipelines for localized environmental forecasting and disaster routing.
On the design side, I am deeply passionate about UI/UX. I believe in establishing a solid user experience foundation before writing a single line of code. I specialize in wireframing and creating high-fidelity prototypes using Figma, ensuring that even the most complex, AI-driven applications are accessible and visually compelling for the end user.
Whether you need intricate model architectures, intelligent backend systems, or structural UI/UX wireframes, I deliver scalable, well-documented, and user-focused software solutions.
Work Terms
Communication & Availability
I maintain clear, consistent communication throughout the project lifecycle. I am available for regular check-ins, technical reviews, and feedback sessions to ensure the final deliverable aligns perfectly with your objectives.
Development Process
Discovery & Scoping: We will start with a comprehensive discussion to understand your technical requirements, target audience, and project constraints.
Design & Architecture: For projects requiring an interface, I will provide structural wireframes and high-fidelity Figma prototypes for your approval before development begins. For AI/ML projects, I will outline the proposed model architecture, data pipeline, and optimization techniques.
Iterative Development: I work in structured milestones, delivering testable components along the way so you can review the progress and provide feedback.
Delivery & Handoff: Final delivery includes clean, well-documented code, required deployment instructions, and a final technical review session.
Payment Structure
I prefer milestone-based payments for larger, long-term projects (e.g., initial deposit, mid-point review, final delivery). For smaller tasks, targeted algorithmic solutions, or design sprints, an hourly rate or a single fixed-price contract is fully acceptable.
Revisions
I include two rounds of reasonable revisions per major milestone to ensure the work meets your exact specifications and quality standards