Yashika Agnihotri
@yashikaagnihotri
B.Tech AI/ML undergraduate building deployable ML and LLM-driven systems.
What I'm looking for
I am a B.Tech undergraduate specializing in AI/ML with hands-on experience building and deploying machine learning applications, LLM-based tools, and scalable data pipelines. I focus on converting AI prototypes into production-grade solutions using Python, Scikit-learn, Hugging Face, Docker, and Kubernetes.
My practical experience includes internships where I developed an interactive AI storyteller, automated SQL+Python reporting pipelines, and built end-to-end deployed apps such as disease prediction and visual product matching. I emphasize unit testing, CI/CD, and reproducible pipelines to improve model efficiency and reduce latency.
I contribute to developer communities as a Google Developer Student Clubs core member, mentor peers, and participate in hackathons to deliver impactful ML + web solutions. I seek roles that let me learn enterprise best practices while delivering measurable business impact through deployable AI systems.
Experience
Work history, roles, and key accomplishments
Data Visualization Intern
Tata
Mar 2025 - May 2025 (2 months)
Automated SQL and Python reporting pipelines reducing manual effort by 25% and built Tableau/Power BI dashboards that improved decision visibility by 35% while delivering cross-functional data-backed recommendations.
AI Developer Intern
Infosys Springboard
Oct 2024 - Dec 2024 (2 months)
Built and deployed an AI-based interactive storyteller with 95%+ accuracy and designed data preprocessing pipelines that improved model efficiency by 40%; implemented unit testing and CI/CD workflows for reliable deployments.
Education
Degrees, certifications, and relevant coursework
Dr. A. P. J. Abdul Kalam Technical University
Bachelor of Computer Science, Computer Science
Activities and societies: Google Developer Student Clubs core member; participated in hackathons and technical evangelism.
Pursuing Bachelor of Computer Science with AI/ML specialization, expected graduation in 2026; coursework includes Machine Learning, Data Structures and Algorithms, DBMS, Computer Networks, Cloud Computing, and Software Engineering.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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