Headline

AI Intern @Pine Labs | Ex-Data Science Consultant @GKVK | Ex-AI intern @Tietoevry | 3X Hackathon Winner | SIH’25 Winner| Member @ PointBlank

About

I'm an Artificial Intelligence Intern at Pine Labs and a Computer Science & Design Engineering student at Dayananda Sagar College of Engineering with a strong interest in building production-ready AI systems. My interests span Machine Learning, Deep Learning, Data Science, Generative AI, LLMs, MLOps, and LLMOps, with a focus on solving real-world problems through scalable and impactful solutions. Through industry internships, research publications, hackathons, and hands-on projects, I've gained experience developing AI applications, deploying ML solutions, and collaborating across teams. I'm passionate about continuous learning, turning ideas into products, and building technology that creates measurable impact. I'm actively seeking opportunities in Artificial Intelligence, Machine Learning, Data Science, MLOps, LLMOps, and Applied AI, where I can contribute, learn from experienced engineers, and grow while solving challenging engineering problems.

Location

Bengaluru

AI stack

claude code

codex

cursor

github copilot

langgraph

opencode

Work experience

Artificial Intelligence Intern at Pine Labs, Jul 2026 - Present · 2 mos, Bengaluru, Karnataka, India, Working in AI Pod Team

Data Consultant at GKVK – University of Agricultural Sciences, Feb 2026 - May 2026 · 4 mos, Bengaluru, Karnataka, India, • Paid consultant on the World Bank REWARD program. • Designed and executed a field experiment across 6 districts, collecting data from 1,951 farmers using structured treatment groups to evaluate fertilizer optimization. • Designing and implementing an ETL pipeline to merge external climate datasets with structured field data for downstream analysis and modeling.

AI Intern at TietoEVRY, Feb 2025 - Apr 2025 · 3 mos, Bengaluru, Karnataka, India

Artificial Intelligence Intern at TietoEVRY, Feb 2025 - Apr 2025 · 3 mos, • Integrated Azure AI Language (Text Analytics for Health) for clinical NER to extract and normalize medication entities; built RxNorm (RxCUI)-based brand-to-generic mapping. • Developed drug-drug and drug-food interaction engine using RxNorm and curated CSVs with severity scoring and alternative medication recommendations. • Engineered GPT-based summarization with Azure-grounded entities to reduce hallucination; built Flask REST API and UI for document upload and real-time interaction checks.

Education

Bachelor of Engineering - BE, Computer Science and Design, Dayananda Sagar College of Engineering, BANGALORE

Bachelor of Science - BS, Data Science, Indian Institute of Technology Madras

Public links

github: https://github.com/balajiCV3000