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Mrida Hingmire

Mrida Hingmire

Full-Stack Software Engineer

Talent
LondonMember since May 21, 2026
Stakeholder EngagementMongoDBTypeScriptPythonReactNode.js
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Stakeholder EngagementMongoDBTypeScriptPythonReact

About

Computer Science student with proven ability to build pipelines, identify high-value targets, and execute outbound strategies at scale. Converted technical expertise into stakeholder engagement across 300+ users, generated qualified leads through data-driven research, and consistently delivered measurable outcomes in fast-paced environments serving 800+ end users.

Experience

Full-Stack Software Engineer - Shravanya Learning Foundation - Remote

(2026-01)

  • Automated volunteer coordination workflows, cutting manual outreach time by 40% and enabling scalable engagement across a 300+ user education network.
  • Conducted stakeholder discovery sessions with 3 organizational leaders, translating requirements into technical specifications that increased platform engagement by optimizing user flows and navigation.
  • Shipped 5 full-stack features using React, Node.js, and MongoDB within 90 days, demonstrating rapid execution in a remote, deadline-driven environment.

Student Experience Leader (Off-Campus SOPH) - Western University - London, ON

(2025-05 - 2026-04)

  • Orchestrated onboarding strategy for 800+ incoming students, designing outreach campaigns that increased first-year engagement and fostered peer-to-peer connections across dispersed communities.
  • Partnered with 6 cross-functional student leaders to plan and execute 12+ engagement events, driving measurable participation increases and strengthening retention initiatives.
  • Built and maintained communication pipelines to deliver resources and support at scale, ensuring consistent touchpoints throughout the academic year.

Software Developer - Western AI (Western University) - London, ON

(2025-10 - 2026-03)

  • Accelerated deployment cycles by 30% by building automated preprocessing and evaluation pipelines, enabling faster iteration on machine learning models trained across 100K+ data samples.
  • Researched and synthesized findings from 5 heterogeneous datasets (news, claims, health content) to inform domain adaptation strategies that improved cross-platform model performance.
  • Delivered end-to-end misinformation detection system integrating RoBERTa classifiers with RAG modules, producing explainable, evidence-backed predictions without core model retraining.

Cafe Barista - The Spoke (Western University) - London, ON

(2024-09)

  • Processed 200+ customer interactions daily in a high-volume service environment, maintaining quality standards while managing concurrent orders and transactions under time pressure.
  • Collaborated with 4-person team to optimize operational workflows, ensuring consistent service delivery and customer satisfaction during peak hours.

Education

BSc - Computer Science, Minor in Applied Statistics - Western University (2023-09 - 2027-05)

Skills

Full-Stack Software Engineer

Reviews

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