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Divyansh Rangari

@divyanshrangari

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I build and evaluate full-stack AI systems for real-world data challenges.

India

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What I'm looking for

I'm looking to build and evaluate production AI/ML systems, especially where LLMs, data pipelines, optimization, and real-world user needs intersect. I value hands-on research, fast iteration, and collaborative engineering teams.

I've built full-stack AI systems spanning LLM evaluation, rural logistics optimization, and marine intelligence. My Prism console compares concurrent LLM outputs in real time and calibrated automated judging against 93 human-rated responses.

Through research at IIT Jammu and projects including EcoRoute and CMLRE, I've worked from data preparation and feature engineering through deployment. I use Python, React, FastAPI, Node.js, and applied optimization to turn complex datasets into usable products.

Experience

Work history, roles, and key accomplishments

Research Intern

IIT Jammu

Jun 2026 - Aug 2026 (2 months)

Carried out applied ML research across the full pipeline, from data preparation and feature engineering through model evaluation on 3+ experimental datasets. Analyzed results and co-authored summaries for the research team, feeding into 2 candidate publications.

Machine Learning Data Preparation Feature Engineering Model Evaluation Research

Technical Intern

Rootvestors (EduAnanta Pvt. Ltd.)

Sep 2025 - Sep 2025 (0 months)

Contributed to technical and ML-adjacent research tasks on an EdTech platform, gaining hands-on exposure to production engineering workflows. Collaborated with a 5-person cross-functional team to ship features on a 2-week sprint cadence.

Machine Learning Research Agile Sprint Planning