Ayushi P.

Lead AI/ML Engineer @ Prospecta Technologies

About

Driven by a passion for transforming raw data into strategic insights, I thrive at the intersection of analytics, machine learning, and business strategy. I’m on a mission to empower organizations with data-driven decision-making and innovative solutions that drive tangible results. Over the past 4+ years, I’ve led cross-functional teams to deploy predictive models and automated solutions that boosted decision-making accuracy by up to 35%. From optimizing student segmentation at the University of Toronto to streamlining operational processes in corporate settings, I’ve honed my skills in Python, SQL, PySpark, and cutting-edge AI technologies. My work not only enhances operational efficiency but also turns complex data into clear, actionable insights for diverse stakeholders. I pride myself on my ability to communicate technical concepts with clarity, mentor emerging talent, and continuously evolve my expertise—as evidenced by my recent Advanced Certificate in Generative AI. I’m committed to leveraging data science to fuel business transformation and create a lasting impact. Let’s connect and explore how we can shape a smarter, data-driven future together.

Country

Canada

City

Toronto

Industry

Information Technology & Services

Skill

Information Extraction, Computer Vision, Responsible AI, ROI Strategies, AI Software Development, Product Ideation, Business Strategy, Intent Classification, Database Administration, Feature Selection, Feature Definition, Database Design, Extract, Transform, Load (ETL), Microsoft Power Query, Project Planning, Scope Management, Word Embeddings, Semantic Search, OpenAI API, Generative AI Tools

Experience

Lead AI/ML Engineer

Prospecta Technologies

2025-2 - Present · 1 yr 8 mos

• Designed a Retrieval-Augmented Generation (RAG) architecture using LangChain and OpenAI APIs to provide grounded, fact-based responses with 90% citation accuracy. • Implemented MilvusDB as a vector store to manage high-dimensional embeddings of 1000s of pdf reports, ensuring low-latency retrieval for document synchronization, reducing p95 latency from 15s to max 2.0s. • Implemented evaluation and monitoring workflows to track hallucinations, groundedness, and response quality; enabled automated retraining/fine-tuning loops. • Developed full-stack observability tooling (Vue, Tailwind, Axios) for model performance tracking, failure analysis, and rapid iteration. • Optimized backend performance using AsyncIO and FastAPI to support response streaming and concurrent user sessions. • Orchestrated multi-step agent behavior for retrieval, reasoning, and answer generation across enterprise/government knowledge bases.

Data Research Analyst

University of Toronto

2022-5 - 2023-6 · 1 yr 2 mos

Toronto, Ontario, Canada

• Optimized student segmentation using k-means clustering (Python/pandas), increasing targeted marketing success by 10% for the Minors program. • Designed A/B testing framework for engagement strategies, improving retention rates by 18% across 2,000+ students. • Built interactive Tableau dashboards for non-technical stakeholders, accelerating decision-making by 30%.

Teaching Assistant

University of Toronto

2022-9 - 2023-4 · 8 mos

Toronto, Ontario, Canada

• Oversaw implementation of Data Analytics curriculum, including sessions to reinforce theoretical concepts and practical knowledge in Python, Flask, and GIT, achieving enrollment and completion by 60+ students. • Mentored 200 students in laboratory session; brainstorming, testing, and developing improved training materials leading to 12% improvement in student project outcomes compared to previous cohort.

Operational Analyst

Western Varieties Wholesale

2017-5 - 2021-12 · 4 yrs 8 mos

Edmonton, Alberta, Canada

• Reduced sales forecasting error to 3% by implementing ARIMA models, saving $50K/yr in excess inventory costs. • Automated weekly operational reports using Excel VBA, cutting labor hours and improving data accuracy by 25%. • Streamlined reconciliation for 50+ accounts through Python scripting, reducing manual effort by 50%.

Engineer in Training and CFO

NEXOV, A Division of New Paradigm Engineering

2017-5 - 2018-10 · 1 yr 6 mos

Edmonton, Alberta, Canada

• Slashed emissions by 23% through compliance analysis of 20 natural gas systems, ensuring alignment with Alberta EPA standards. • Spearheaded regulatory research for a gas pipeline patent project, enabling classification of 30 target pools and securing $1.2M in project funding. • Developed real-time Power BI dashboards for geothermal reservoir monitoring, boosting operational efficiency by 15%.