Hi, I’m Roger an AI & Data Science engineering student focused on building practical systems at the intersection of AI, finance, and product development. I believe technology should solve real problems, not just look impressive.
Coming from a background of financial struggle shaped how I think about impact. It pushed me toward financial empowerment, practical innovation, and creating tools that genuinely help people make better decisions in the real world.
I’m currently building and working on systems like GraceUp, a student-focused career and learning platform, along with AI-driven tools for financial analysis, automation, OCR, and generative AI. Through internships and hands-on projects, I’ve applied machine learning and data-driven approaches to create usable, deployable solutions.
Beyond academics, I value execution, continuous learning, and adaptability. For me, technology isn’t just a career path — it’s a tool to build meaningful products, create opportunity, and deliver impact that lasts beyond code.
Advanced ML solutions for finance, health, and education sectors, featuring predictive analytics and AI-driven insights.
View ProjectImplementing Large Language Models with Retrieval-Augmented Generation for smart document search, Q&A, and knowledge management.
View ProjectBuilding NLP applications using Hugging Face Transformers for tasks like text classification, summarization, and conversational AI.
View ProjectComprehensive data analysis solutions transforming complex data into actionable business insights.
View ProjectEngaging presentations and seminars on entrepreneurship, technology, and personal growth.
Learn MoreStrategic business analysis and process optimization for improved operational efficiency.
View ProjectsAdvanced data science solutions combining ML, analytics, and visualization for business insights.
Explore WorkInnovative startup initiatives focusing on fintech, education, and sustainable solutions.
Learn MoreA comprehensive learning and career development platform for students, featuring personalized learning paths, skill assessments, and placement tracking.
A personal mental health companion app where users can journal their feelings, take mood checkins, and receive motivational insights based on their emotional patterns.
A simple and elegant resume-building tool for students, offering pre-designed templates and AI-powered content suggestions to stand out in placements.
Real problems. Real systems. Real impact. No theory-heavy demos. No half-baked experiments.
The project portfolio reflects hands-on work across multiple domains, focused on solving practical, real-world challenges through applied AI and data-driven systems. Each project starts with a clear problem and evolves into a working product designed to create real value.
From building career platforms like GraceUp, which guide students step by step through structured learning and placement preparation, to AI-driven finance and stock analysis tools that help individuals and middle-class families make better financial decisions, the goal has always been clarity, usability, and impact.
Beyond this, several projects focus on automation, OCR, and generative AI, where intelligent systems are built to reduce manual effort, streamline workflows, and generate meaningful outputs. In agriculture, data-driven tools support farmers with insights on crop cycles and planning, enabling more sustainable and profitable practices.
Every project in this portfolio follows one principle: solve something real, build it properly, and make it useful not just impressive on paper.
I approach business with a builder’s mindset spotting real opportunities, breaking down complex problems, and turning ideas into systems that actually work. With experience across finance and technology, I focus on creating solutions that are practical, data-driven, and built for real-world use.
My work spans areas like AI-powered finance tools, automation, product development, and student-focused platforms, where the goal is always the same: simplify complexity, optimize resources, and deliver clear value. Instead of chasing trends, I analyze them, test assumptions, and build solutions that can scale.
I’m especially interested in creating sustainable business models whether that’s helping families manage money better, supporting students in shaping their careers, or exploring tech-enabled solutions in agriculture. Strong execution and adaptability guide how I work, ensuring ideas don’t stay on paper but turn into products that make a lasting impact.
With a strong foundation in finance and a practical understanding of market dynamics, I approach financial problems through data, code, and systems. I build and experiment with algorithmic trading logic, stock analysis models, and financial planning tools using code to perform analysis, prediction, and risk evaluation.
My work involves using data-driven techniques to identify market patterns, forecast trends, and support better decision-making from investment insights and portfolio analysis to budgeting and debt management solutions. By combining financial knowledge with programming and analytics, I focus on creating tools that are not just insightful, but actionable and usable in real-world scenarios.
My approach to algorithm development is centered on precision, efficiency, and adaptability. With a strong foundation in AI and data science, I build algorithms that power predictive financial models, stock analysis systems, and data-driven platforms designed for real-world use.
This includes developing algorithms for stock analysis and algorithmic trading that interpret market data, identify patterns, and support informed decision-making. Every system is built with a focus on clarity, performance, and practical application not just theoretical correctness.