LLM Post-Training Intern

Supercharging Large Language Models with human-aligned data to achieve industry-grade performance and reliability.

• Focus: LLM Post-Training — RLHF, preference data curation, and human-alignment pipelines.
• Key Responsibilities: Developing and optimizing LLM post-training and evaluation workflows; building scalable data pipelines for model refinement; gaining hands-on exposure to AI data processes and industry-standard model refinement techniques.
• Skills Demonstrated: LLM Post-Training, Human-Aligned Data, Dataset Curation, Evaluation Workflows, Prompt Engineering.
• Outcome: Contributing to cutting-edge model quality improvements that align AI outputs with real-world human expectations and safety standards.

Google Cloud Arcade Participant

Selected as a program participant to master and apply core cloud concepts.

• Duration: 3 Months
• Role: Participant / Cloud Skills Deep Dive
• Skills Demonstrated: Google Cloud Platform (GCP), Computational Resources, Application Development, Data Management, and AI/ML on Cloud.
• Outcome: Gained a deeper, practical understanding of foundational cloud technologies, preparing for advanced specialization.

Girl Script Summer Of Code As Contributer

“Machine Learning Contributor at GirlScript Summer of Code”

• Duration: 3 months
• Role: Contributor
• Skills Demonstrated: ML algorithms Data preprocessing Model implementation
• Outcome: Enhanced practical understanding and application of machine learning techniques

Machine Learning Intern

“Intern at TechnoHacks EduTech”

• Duration: 1 Month
• Role: Intern
• Projects: Initiated and completed 3 impactful machine learning projects
• Skills Demonstrated: ML algorithms Data preprocessing Model implementation
• Outcome: Showcased practical understanding of machine learning and contributed to innovative solutions

Bachelor of Engineering In Artificial intelligence

Higher Secondary School

Grade: Second class distinction.