Gettysburg, Pennsylvania, United States
I’m a Computer Science, Data Science, and Math student at Gettysburg College who’s deeply passionate about AI and machine learning. I love solving real-world problems through code—and sharing my learning journey along the way. In the past, I’ve: • 🤖 Built Bangladesh’s first college admission chatbot, helping 5,000+ students get university guidance in real time • 🍎 Developed computer vision ML model for apple variety classification, now actively used by a fruit company to reduce human error • 🧩 Led AI research for Birds of a Feather solitary puzzle using Monte Carlo algorithms to improve puzzle generation accuracy by 25% • 🌍 Managed a $10,000 digital education initiative, increasing tech access for 500+ rural students in rural Bangladesh I share what I learn by “building in public,” mentoring peers, and creating content that simplifies complex ideas. 🔭 Where I’m going: I’m currently seeking Summer 2026 internships in: • AI/ML Engineering • Software Engineering (with an AI/Research focus) • Applied Data Science roles where innovation meets impact 📩 Email: [email protected]
•Mentoring 50+ students in implementing core machine learning algorithms using Python, scikit-learn, and TensorFlow. •Leading twice-weekly support sessions to debug code and explain key concepts including bias-variance tradeoffs, regularization, and model performance metrics. •Providing structured code reviews emphasizing clean documentation, reproducible analysis, and version control best practices.
Developed Monte Carlo algorithms to generate over 1,000,000 solvable puzzles for the "Birds of a Feather" game, improving classification accuracy by 25% and difficulty prediction by 20%. Applied ϵ-Greedy Sampling to reduce error margin by 20%, strategically biasing towards solvable puzzles and improving computational efficiency. Spearheaded a collaborative effort to enhance puzzle generation through stochastic local search, driving a 30% improvement in puzzle differentiation and user engagement. Skills: Algorithm Design, Monte Carlo Sampling, Machine Learning, Computational Efficiency, Puzzle Generation, Stochastic Local Search.
• Collaborated with the Electrical and Software Engineering team on functional testing and validation of embedded control systems (Posi, Fasten Tracker) prior to client release, helping ensure system reliability. • Contributed to technical documentation used in client deliverables, detailing system behavior, test results, and integration specifications. • Observed executive leadership in strategic meetings by shadowing COO to understand business development, lean operations, and quality systems at scale. • Engaged in cross-functional collaboration to explore how engineering, product development, and business operations align in a real-world manufacturing setting. • Developed a deeper understanding of teamwork, adaptability, and technical communication in a fast-paced industrial environment.
Built scalable ML pipelines (SVM, KNN, Random Forest, ResNet-50) in TensorFlow, scikit-learn, boosting classification accuracy of apple varieties from 71% → 99%. • Increased model reliability 20% through data augmentation, preprocessing, and feature analysis (color, firmness, defect segmentation) • Deployed ResNet-50 + Random Forest models in Docker, reducing QC inspection times by 50% and enabling real-time classification on 10,000+ apples/day.
• Secured and managed a $10,000 grant, launching a digital empowerment initiative that reached over 500 rural minority students. • Engineered and deployed a computer lab in remote areas, overseeing hardware installation and network setup to deliver reliable internet access to over 500 first-time users. • Developed a digital literacy curriculum, improving student computer proficiency by 80%, measured through structured pre- and post-assessments. • Launched a sustainable, subscription-based access model, boosting lab utilization by 60% and ensuring long-term program viability. • Integrated educational platforms such as Khan Academy and Code.org, customizing content to align with local academic standards. • Led a cross-functional team of 10, applying Agile methodologies to achieve project milestones 15% ahead of schedule. • Established partnerships with 7 local schools and community organizations, enhancing engagement and securing an additional $2,000 in funding. • Advocated for educational equity by presenting project outcomes to stakeholders and planning expansion to reach an additional 1,000 students next year.