SANSKRITI AKHOURY

software engineering @ uwaterloo

Helping build world-leading Advanced Manufacturing and AI capabilities with NGen Canada.

Incoming SWE Intern

ABOUT ME

  • Developing AI/ML/infrastructure tools to enhance enterprise product offerings.
  • Placed fourth @ ICDC DECA (International Career Development Conference)
  • Top 3 in RBC's Metaverse Case Competition
  • 3x Startup Founder with sponsorships and mentorships from TD, Deloitte, & IFDS Canada.

With a head for entrepreneurial and tech ventures, I am actively pursuing opportunities at the intersection of project development and management. Competed on American Idol for judges Lionel Richie, Katy Perry, and Luke Bryan (ABC S6)

EXPERIENCES →

Data Intern

DATA INTERN

@ NGen Canada (2024)

Worked on advanced manufacturing and AI initiatives, focusing on data engineering and analytic tasks such as building data pipelines and ML models. Completed and contributed to 16 projects accelerating NGen's impact. Received a return offer and continuing part-time.

Data Analyst

DATA ANALYST & WEBMASTER

@ Front Row Ventures (2024)

Optimized funding processes through data-driven strategies, managed web content, and analyzed key performance metrics to support investment decisions. Completed two-month venture capital bootcamp, gaining exclusive insights from local VCs and founders.

Project Developer

PROJECT DEVELOPER

@ UW Blueprint (2024)

Tech for social good. Specialized in infrastructure development, utilizing tools like Kubernetes, AWS, Docker, Prisma, Terraform, and Heroku to enhance project efficiency and deployment processes.

PROJECTS →

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Quant Trading Model

Fama French FactorsPortfolio Optimization

Developed a trading strategy using unsupervised learning techniques to optimize investment decisions.

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Guardian

Convolution Neural NetworksTensorflow

Wearable AI system integrating real-time video and audio streaming with emotion and object detection analytics.

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Résuview

AR DevelopmentNetworking

An AR environment that displays individuals' résumes next to their faces at networking events.

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Recommender System

Graph Neural NetworksLLMsFP-Growth

Engineered a self-supervised GNN-based recommender system with custom message aggregations & NADAM.