Riyanshi Verma

AI Intern @ Infosys Springboard | AI & Data Science Enthusiast | Python • SQL | GenAI | GSSoC’25 Contributor | B.Tech CSE (Data Science) | (9.02 CGPA - 1st Year)

Meerut, Uttar Pradesh, India

About

Rank 1 (Women Developer) & Overall Rank 30 out of 26,090+ participants in Challenge 2 of Google for Developers & Hack2Skills PromptWars 2026. ​Hey! I’m a final-year B.Tech student specializing in Data Science. I love building practical, intelligent applications that combine deep data analytics with modern Generative AI. I don't just build basic LLM wrappers; I focus on engineering robust, high-efficiency systems—like my hackathon project VoteWise AI, which hit a 96.98% AI-verified score for code quality and security. ​What I build with: ​Languages & Frameworks: Python, SQL, Streamlit, Pandas, NumPy ​AI & Machine Learning: Gemini API, Groq, Semantic Embeddings, XGBoost, Random Forest ​Tools & Cloud: Docker, Git/GitHub, Google Cloud, Microsoft Entra ​Key Projects: ​VoteWise AI: A multilingual election guide localized across 6 languages using Gemini 2.0 Flash and vector embeddings. ​FinSight: A fintech analytics platform using RFM modeling to calculate Revenue at Risk and generate business hypotheses. ​AudiVisa: A multi-modal accessibility system (OCR, TTS, STT) built to help visually and hearing-impaired users consume content seamlessly. ​I love solving messy, real-world problems and am a fast, adaptable learner. ​📩 I’m currently looking for internship and early-career opportunities in AI Development, Data Science, or Software Engineering. Let's connect

Experience

  • Artificial Intelligence Intern at Infosys Springboard
    Jun 2026 - Present · 2 mos

    Selected as an AI Intern in the Infosys Springboard 7.0 virtual internship program, contributing to the development of CommAI, an AI-powered multilingual mass communication platform. Built GenAI features using Python, FastAPI, Groq (Llama 3.3/3.1), and React, including AI-assisted campaign drafting, multilingual localization across 22 Indian languages, responsive content previews, and an offline compliance auditor to validate messaging quality before large-scale broadcasts. Collaborated in an agile team environment using Git while applying enterprise AI development practices.

  • ServiceNow Virtual Intern at ServiceNow
    Nov 2025 - Dec 2025 · 2 mos

    Completed the ServiceNow Virtual Internship under the AICTE–SmartBridge initiative, focused on enterprise workflow automation, IT Service Management (ITSM), and AI-driven platform capabilities. • Configured core ServiceNow administration modules and system settings • Designed automated workflows using Flow Designer • Implemented and tested processes using Automated Test Framework (ATF) • Built and customized reports for data-driven decision-making • Explored Agentic AI concepts for intelligent workflow enhancement • Strengthened understanding of enterprise-grade SaaS architecture Gained practical exposure to how automation, reporting, and AI can optimize large-scale organizational processes

  • Contributor at GirlScript Summer of Code
    Jul 2025 - Sep 2025 · 3 mos

    Selected as a contributor for GirlScript Summer of Code 2025 (GSSoC'25) — a prestigious open-source program that empowers student developers to collaborate on real-world open-source projects under the guidance of experienced mentors. Actively contributing to open-source repositories, resolving issues, and enhancing project features while sharpening skills in Git, GitHub, and collaborative software development. This experience is helping me grow as a developer through community-driven learning, meaningful impact, and hands-on practice.

  • Internshala Student Partener (ISP) at Internshala
    Apr 2025 - Jun 2025 · 3 mos

  • Generative AI at SmartInternz
    Sep 2024 - Oct 2024 · 2 mos

    Successfully completed a virtual internship in Generative AI powered by Google Cloud and facilitated by Smart Internz. - Gained hands-on experience with Google Cloud’s Vertex AI platform and tools for building and deploying generative models. - Built and deployed AI-based solutions demonstrating core concepts of natural language processing, machine learning, and prompt engineering. - Applied theoretical knowledge to real-world use cases, focusing on practical efficiency and solution design. - Earned certification for demonstrating high efficiency in applying AI concepts practically.