{"id":118,"date":"2025-09-11T22:39:24","date_gmt":"2025-09-11T22:39:24","guid":{"rendered":"https:\/\/arko-ghosh.com\/?page_id=118"},"modified":"2026-03-14T14:06:43","modified_gmt":"2026-03-14T14:06:43","slug":"about-me","status":"publish","type":"page","link":"https:\/\/arko-ghosh.com\/","title":{"rendered":"About Me"},"content":{"rendered":"\n

About Me<\/h2>\n\n\n\n
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I am a senior undergraduate at the Massachusetts Institute of Technology (MIT)<\/strong>, pursuing a degree in Computer Science with a specialization in Artificial Intelligence & Decision Making.<\/strong> With hands-on experience in AI engineering, software development, and data science, I am driven to use technical depth and collaborative problem-solving to build impactful real-world systems.<\/p>\n\n\n\n

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As an AI Engineer Intern at IBM<\/strong>, I co-created and deployed solutions on the IBM watsonx platform, working with generative AI, agentic systems, large language models<\/strong>, and multi-agent orchestration frameworks<\/strong>. Partnering with clients and cross\u2011functional teams, I translated complex business needs into scalable technical architectures that delivered measurable business value.<\/p>\n<\/div>\n\n\n\n

Previously, at the Foundation for Resilient Societies<\/strong>, I built an end-to-end data pipeline for U.S. power plant analytics and developed machine learning models to forecast outage risk\u2014directly supporting decision-making for critical energy infrastructure.<\/p>\n\n\n\n

At CDM Smith<\/strong>, I applied electrical engineering fundamentals and automation by building Python\u2011based regression models<\/strong> to accelerate solar array design and standardize workflows across engineering projects.<\/p>\n\n\n\n

At Quill AI<\/strong>, I gained full-stack experience by developing user features using SvelteKit<\/strong> and improving the reliability of backend systems powered by OpenAI<\/strong>.<\/p>\n\n\n\n

Through MIT\u2019s Undergraduate Research Opportunities Program (UROP) at the Device Realization Design Lab and Tangible Media Group<\/strong>, I led and contributed to advanced machine learning research, including 3D reconstruction pipelines in PyTorch and a retrieval\u2011augmented generation (RAG) question\u2011answering platform<\/strong>. These projects strengthened my ability to take ML systems from research to deployment.<\/p>\n\n\n\n

In addition, my leadership as President of the MIT Bitcoin Club<\/strong> demonstrates my ability to manage teams, coordinate large\u2011scale initiatives, and drive projects from concept to execution.<\/p>\n\n\n\n

TECHNICAL SKILLS<\/strong><\/p>\n\n\n\n

My technical toolkit includes a diverse range of skills. I quickly learn new systems, work effectively both independently and in agile teams, and communicate technical outcomes with clarity.<\/p>\n\n\n\n

Programming Languages<\/strong><\/p>\n\n\n\n