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Schedule Interview NowWorking at Softaims has been an experience that continues to shape my perspective on what it means to build quality software. I’ve learned that technology alone doesn’t solve problems—understanding people, processes, and context is what truly drives innovation. Every project begins with a question: what value are we creating, and how can we make it lasting? This mindset has helped me develop systems that are both adaptable and reliable, designed to evolve as business needs change. I take a thoughtful approach to problem-solving. Instead of rushing toward quick fixes, I prioritize clarity, sustainability, and collaboration. Every decision in development carries long-term implications, and I strive to make those decisions with care and intention. This philosophy allows me to contribute to projects that are not only functional, but also aligned with the values and goals of the people who use them. Softaims has also given me the opportunity to work with diverse teams and clients, exposing me to different perspectives and problem domains. I’ve come to appreciate the balance between technical excellence and human-centered design. What drives me most is seeing our solutions empower businesses and individuals to operate more efficiently, make better decisions, and achieve meaningful outcomes. Every challenge here is a chance to learn something new—about technology, teamwork, or the way people interact with digital systems. As I continue to grow with Softaims, my focus remains on delivering solutions that are innovative, responsible, and enduring.
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Agentic RAG for Legal AI is a state-of-the-art, law-focused assistant that extracts precise legal insights from PDFs without hallucination. Leveraging advanced OCR and LLM agents, it accurately retrieves, analyzes, and synthesizes complex legal documents. This powerful tool streamlines case preparation and legal research by delivering data-backed answers, enhancing due diligence, reducing errors, and saving valuable time for law firms and legal professionals.
Developed TryOn AI, an innovative virtual fitting room for fashion e-commerce. Using generative adversarial networks and Stable Diffusion, this AI-driven tool creates diverse model images from a single clothing photo, enabling shoppers to visualize outfits on various body types. This virtual try-on solution boosts customer engagement, enhances purchase confidence, and increases conversion rates while reducing return rates, offering a cost-effective, transformative retail experience.
AI Avatar Photoshoot revolutionizes product imagery with hyper-realistic virtual photoshoots that seamlessly blend garments onto models. Eliminate costly traditional shoots and post-editing. Benefit from 100+ AI models for diverse looks, multi-angle shots for maximum impact, and an eco-friendly, cost-efficient solution tailored for brands and e-commerce.
Introducing PDS - your Personal Data Scientist: a predictive analytics tool that requires zero coding. Imagine effortlessly prepping data, leveraging English queries, and training ML models with just your commands. PDS even produces detailed EDA reports. It's perfect for data enthusiasts, business users, and anyone in need of data-driven insights.
Overview: Developed an innovative AI system for the advertising industry, leveraging cutting-edge text-to-image technology to automate and revolutionise ad content creation. This platform integrates Stable Diffusion, Segment Anything model, and Control Net Models, offering a unique blend of efficiency, customisation, and quality control in ad production. Key Features: - Stable Diffusion Technology: Utilizes advanced text-to-image conversion for generating high-quality ad visuals from textual descriptions. - Segment Anything Model: Enables precise editing of existing ads by segmenting specific image areas for targeted modifications. - Inpainting Feature: Seamlessly integrates new content into designated areas of an ad, enhancing the overall visual appeal and relevance. - Control Net Models: Provides fine-tuning capabilities, ensuring generated ads align perfectly with the creative direction and quality standards. - User-Friendly Interface: Designed for ease of use, allowing marketers to effortlessly input prompts, select control features, and refine outputs. Project Goals: 1. Automation Efficiency: Streamline ad creation, reducing time and resources needed for high-quality visuals. 2. Customization and Flexibility: Facilitate production of tailored ads for various products and themes via simple text prompts. 3. Enhancement and Editing: Enable precise editing of existing ad imagery to reflect desired changes accurately. 4. Controlled Output Quality: Ensure consistency and alignment with creative vision through advanced control mechanisms. 5. Scalability: Capable of handling demands of large-scale campaigns without compromising on quality. Impact: - Creativity at Scale: Empowers limitless creativity in ad creation, unbounded by traditional resource constraints. - Personalisation: Allows for easy generation of audience-specific content, enhancing engagement and relevance. - Resource Optimisation: Reduces costs and production times, making high-quality ad creation accessible to all business sizes. - Environmental Consideration: Minimizes environmental impact compared to traditional photography methods. - Market Responsiveness: Facilitates swift adaptation to market trends and consumer feedback. Conclusion: This project showcases the transformative potential of AI in digital advertising, representing a significant step forward in bridging the gap between ideation and creation. The platform not only enhances creative possibilities but also aligns with modern needs for efficiency, personalisation, and environmental responsibility in content creation. As the project evolves, it continues to set new standards in the advertising technology landscape.
Bachelor of Engineering (BEng) in Computer science
2016-01-01-2020-01-01
Master's degree in Artificial Intelligence