Aditya Srivastav

Delivered end-to-end MDO platform implementations, managing client relationships and project lifecycles. Configured data management solutions, ensuring seamless onboarding and 100% documentation compliance. Streamlined workflows, reducing project delivery time by 20% while maintaining high client satisfaction across engagements

Spearheaded AI engineering community growth at AWS, conducting hands-on workshops and managing cross-functional projects. Grew community engagement by 30%, delivering technical sessions that upskilled 500+ developers. Drove adoption of AWS AI services through strategic outreach and collaborative community initiatives.

Developed a full-stack, real-time driver behavior detection application leveraging computer vision and ML models. Engineered end-to-end pipeline from data processing to live deployment, achieving 90%+ detection accuracy. Delivered a production-ready solution, demonstrating expertise in Python, deep learning, and full-stack integration.

Led 3+ large-scale Microsoft projects demonstrating real-world use of Microsoft technologies and supported a global ambassador program. Mentored 3,000+ student ambassadors, organized 10+ hackathons and 100+ skill challenges, and delivered 150+ workshops on AI, data science, and cloud technologies.

Completed an intensive SWE fellowship focused on full-stack app and portfolio development. Managed end-to-end project lifecycles, delivering production-grade applications under agile sprints. Built and deployed 5+ projects, sharpening expertise in modern frameworks, system design, and collaborative software engineering practices.

Conducted in-depth market research and competitive analysis to support strategic investment decisions at HP. Synthesized data-driven insights across 10+ market segments, contributing to venture capital evaluations. Assisted in portfolio analysis, enabling informed decision-making and identifying high-growth investment opportunities.

Cleaned, preprocessed, and analyzed structured data to support business insights. Built a predictive model for machine default detection and improved decision-making efficiency by 8% through data visualizations and dashboards, while reducing integration time by 40% via model deployment support.

Built and strengthened a student-facing tech community by connecting students with industry experts and Microsoft learning resources. Served as a bridge between students and Microsoft by introducing certification and learning opportunities.

Built foundational skills in data structures and algorithmic problem solving through practical training and simulation projects. Strengthened core problem-solving abilities through hands-on coursework.

Pursued a BCA with coursework in data science and artificial intelligence from Sep 2022 to Jun 2025.

Studied Biology, Chemistry, Physics, and Physical Education at Amrit Public School (Apr 2021–Jul 2022).