Roshni Kumari is a highly recognized B.Tech Computer Science and Engineering undergraduate specializing in machine learning, data-driven systems, and scalable AI solutions. With accolades such as MLH Top 50 Global Hacker and AWS AI/ML Scholar, she drives innovation in AI research and development. Her experience spans engineering LLM prompt systems, developing CNN-based image classification models, and leading technical communities, demonstrating a strong capability for impactful AI deployment and strategic policy engagement.
Work
Scogo AI
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Prompt Engineer
Greater Noida, Uttar Pradesh, India
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Summary
Engineered advanced LLM prompt systems and scalable templates, significantly enhancing agent response accuracy and system efficiency.
Highlights
Engineered sophisticated LLM prompt systems using structured and algorithmic approaches, improving agent response accuracy by 35%.
Designed scalable prompt templates and developed robust testing frameworks to validate performance.
Enhanced overall system efficiency by 30% through the implementation of optimized prompt strategies and rigorous testing protocols.
Udacity (Accenture)
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AI/ML Research Intern (Scholar)
Greater Noida, Uttar Pradesh, India
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Summary
Developed and optimized advanced CNN-based image classification models, significantly enhancing training efficiency and model accuracy for AI solutions.
Highlights
Developed and trained CNN-based image classification models using PyTorch with CUDA acceleration, reducing training time by 40%.
Implemented algorithmic and data structure optimizations, increasing model accuracy by 17% through systematic parameter tuning.
Contributed to end-to-end AI solution design, improving overall deployment efficiency by 25%.
Volunteer
Cloud Captain
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AWS
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Led a technical community focused on cloud computing and AI tools, fostering knowledge sharing and skill development among members.
Highlights
Led a technical community of 50+ members, fostering collaborative learning and skill development in cloud computing and AI.
Delivered hands-on workshops and educational sessions on advanced cloud computing and AI tools to enhance community expertise.
Facilitated knowledge exchange and mentorship opportunities, contributing to the professional growth of community members.
Community Builder and Content Creator
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Independent
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Authored diverse technical content across multiple platforms, cultivating a learning community of over 60 members.
Highlights
Authored and disseminated insightful newsletters and technical articles, reaching a learning community of 60+ members.
Produced engaging podcasts on emerging tech topics, expanding the educational content offerings across Substack, Medium, and YouTube.
Cultivated a vibrant online learning community, fostering engagement and knowledge sharing among 60+ members.
Product Launch Contributor
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Independent
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Contributed to the successful launch of AI products on prominent platforms, generating significant user engagement and impressions.
Highlights
Contributed to the successful launch of multiple AI products on platforms like Peerlist and Product Hunt.
Generated significant public visibility, with product launches collectively receiving over 11,000 impressions.
Collaborated with product teams to refine launch strategies and maximize market penetration for new AI solutions.
Education
Galgotias University
Greater Noida, Uttar Pradesh, India
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B.TechComputer Science and EngineeringGrade: 8.4/10
Courses
Machine Learning
Deep Learning
Data Structures and Algorithms
Distributed Systems
Cloud Computing
AI Systems
Awards
MLH Top 50 Global Hacker
Major League Hacking (MLH)
Recognized as one of the top 50 global hackers for exceptional contributions and innovation.
World Bank Fellow - Delegate, Youth Summit on Public Institutions Development
World Bank
Selected as a delegate for the Youth Summit on Public Institutions Development, contributing to global policy discussions.
BASIS AI Policy Fellow
BASIS
Selected as an AI Policy Fellow, engaging at the intersection of artificial intelligence, policy, and real-world deployment.
LiFT Scholar
LiFT
Recognized as a LiFT Scholar for academic excellence and leadership potential.
Machine Learning Foundations, Representation Learning, Trustworthy AI, Data-Driven Decision Systems, Applied Deep Learning, Scalable AI Systems.
Projects
GroMoCoach AI Learning Companion
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Summary
Developed an AI microlearning platform for real-time sales coaching, leveraging GPT-4, FastAPI, React, and AWS for data-driven personalization.
GhostPay-Lite Microservice-Based Payment System
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Summary
Built a scalable microservice architecture for a payment system using Node.js, Docker, and Kubernetes, ensuring high uptime and transaction reliability.
Budgetlyzer AI-Powered Budget Tool
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Summary
Created an AI-powered personal budget tool using Python, OpenAI API, React, and PostgreSQL to deliver personalized financial insights.
DemandPulse AI Forecasting Insights
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Summary
Developed an AI-powered demand forecasting system utilizing Python, LSTM, FastAPI, and AWS to optimize inventory and supply chain efficiency.