# Gagan S. > AI/ML Engineer | Boston University | Ex Oracle | Location: Greater Boston, United States Profile: https://flows.cv/gagans AI engineer working at the intersection of agentic systems, generative AI, and real-world software infrastructure. At Oracle, I built ML-driven forecasting pipelines used by 100+ enterprise clients, helping modernize ERP analytics systems while maintaining ~99% uptime and contributing to a 60% reduction in release latency through better observability and deployment practices. At Boston University, my work spans research and applied systems. I’ve analyzed hundreds of real-world human–LLM interactions to study how people collaborate with AI, mentored 25+ graduate students in computer vision and multimodal learning, and built generative AI systems exploring new architectures for music generation and autonomous AI agents. Across my work, I focus on one thing: building AI systems that actually run, scale, and make decisions in the real world. ## Work Experience ### AI Research Assistant @ Questrom School of Business, Boston University Jan 2026 – Present | Boston, Massachusetts, United States - Research Human–AI interaction, studying how users collaborate with large language models in complex problem-solving tasks such as coding. - Design and analyze ethnographic studies of AI use, combining qualitative research methods with computational analysis of interaction logs. - Work with Prof. Emma Wiles to develop insights on how AI systems can be made more equitable and accessible across different user groups. ### AI Research Assistant (Volunteer) @ Questrom School of Business, Boston University Jan 2026 – Jan 2026 | Boston, Massachusetts, United States • Mentor: Prof. Emma Wiles • Understanding Human-AI Interactions by analyzing interactions between different Users and LLMs for problem-solving tasks like coding. • Employing ethnographic strategies. • Using Qualitative Research Methods to make AI equally useful to all. ### Graduate Researcher @ Boston University Graduate School of Arts & Sciences Jan 2024 – Jan 2026 | Boston, MA • Conducted independent and collaborative research in AI, generative modeling, and multimodal learning at Boston University. • Developed an agentic parental-control web app utilizing LangGraph for intelligent screen monitoring and behavior prediction. • Led a data-driven analysis of MBTA data, employing XGBoost and Random Forest models to forecast ridership and service reliability. • Prepared research reports and technical documentation, contributing to the academic and AI community. ### Graduate Assistant - Computer Vision @ Faculty of Computing & Data Sciences at Boston University Jan 2025 – Jan 2025 | Boston, Massachusetts, United States • Instructor: Prof. Deepti Ghadiyaram • Course: CASCS 599 G1 - Advanced Topics in Computer Vision • Mentor graduate and Ph.D. students on projects in computer vision, generative AI, and multimodal learning. • Evaluate research papers and experiments focusing on ablation studies. • Contributed to rubric design, enhancing feedback on technical clarity and research rigor. ### Generative AI Research Assistant - Music Generation @ Boston University Jan 2025 – Jan 2025 | Boston, Massachusetts, United States • Mentored by Professor Brian Kulis • Developed long context music generation models using Mamba based state space architectures. • Compared transformer and Mamba pipelines for melody coherence, stability, and scalability. • Built an experimental workflow using EnCodec tokenization at 24 kHz and 32 kHz with multi-codebook setups. • Evaluated model quality with CLAP similarity and FAD and used the results to refine architecture choices. • Prototyped hybrid designs that combine diffusion stages with Mamba sequence modeling. ### Self Employed @ Self Employed Jan 2023 – Jan 2024 | India • Embraced a period of exploration and self-discovery after leaving Oracle, focusing on personal growth. • Engaged in solo travel, meeting diverse individuals and gaining new perspectives on creativity and work. • Experimented and learnt about Machine Learning Algorithms, Extended Reality (XR), and Android Development, merging immersive tech with AI. • Dedicated time to brainstorming innovative ways to utilize technology for storytelling and learning. ### Software Developer I - AI/ML Integration @ Oracle Jan 2022 – Jan 2023 | Hyderabad, Telangana, India - Led R&D efforts to modernize enterprise analytics and forecasting capabilities for large-scale ERP systems serving 100+ clients, with a focus on reliability, latency reduction, and actionable insights. - Engineered and deployed ML-driven time-series forecasting pipelines and a foundational analytics layer, integrating models directly into ERP workflows while streamlining Java EE data ingestion for consistent database to client synchronization. - Architected distributed observability across microservices using Zipkin and Prometheus, and built an automated Java testing framework to improve system visibility, stability, and release velocity. - Improved retail demand prediction accuracy, achieved 99% system uptime, and reduced release latency by 60%, enabling faster deployments and higher confidence enterprise analytics at scale. ## Contact & Social - LinkedIn: https://linkedin.com/in/gagansinghal06 - Portfolio: https://skytechnologies.lovable.app/ - GitHub: https://github.com/sky1502 - Portfolio: https://www.boomband.dev/player/skytech - Portfolio: https://www.boomband.com/player/skytech --- Source: https://flows.cv/gagans JSON Resume: https://flows.cv/gagans/resume.json Last updated: 2026-04-16