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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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ESG Smarter is an innovative AI-powered ESG analysis platform designed to provide investors, asset managers, and corporates with automated sentiment analysis and ESG scoring capabilities. The platform leverages advanced technologies, including Natural Language Processing (NLP) and Machine Learning, to evaluate companies' environmental, social, and governance practices, enabling users to make informed investment decisions and identify sustainable opportunities while detecting "ESG washing" attempts. My tasks include: - Develop a customized OCR script to automate scraping data from PDF - Train and evaluate Topic Model that accurately classify text based on SASB taxonomy - Train and evaluate Sentiment Analysis Model to classify texts as positive, negative or neutral - Train and test Paraphrase Detection Model - Develop a scoring system based on sentiment analysis score - Develop a NLP pipeline that regroups all the models mentioned above using Docker and Kubernetes
In this project, I developed a blockchain-based platform that provides a robust solution for verifying the authenticity of medicines and vaccines. Leveraging the power of the Ethereum blockchain and smart contracts, the platform ensures a transparent and secure verification process. The platform enables users, including consumers, healthcare professionals, and regulatory authorities, to easily verify the legitimacy of medications and vaccines. It addresses the rising concern of counterfeit or substandard drugs in the market, offering a reliable means of ensuring the authenticity of pharmaceutical products.
In this project, I developed an automated scraping script using Python, Selenium, and BeautifulSoup to extract posts from Facebook based on a given topic. As a user, you can input a topic name, and the script will navigate through Facebook's web interface to collect relevant posts related to that topic.
In this project, I developed a web-based video conferencing application similar to Zoom. The application leverages Angular for the frontend, Node.js with Express.js for the backend, MongoDB for data storage, and Socket.io for real-time communication.
Bachelor of Engineering (BEng) in Software Engineering
2016-01-01-2022-01-01