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Atharva Gupta

Atharva Gupta

Data Science & Applied Mathematics student; aspiring data engineer

thorba
Cleveland, Ohio
Joined April 2026
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Summary

Applied geospatial research and environmental data engineering — contributes to interdisciplinary projects that integrate agricultural and municipal datasets, develop reproducible R workflows (manureshed), and support watershed-scale nutrient analyses. github+2
Full‑stack engineering for ML and retrieval systems — builds production-oriented backends and frontends for RAG and LLM applications (Go/FastAPI + Next.js) and develops tooling for ingestion, streaming, and semantic search. ag12+1
Machine‑learning research and signal processing experience — applied ML to biomedical signals during an LLNL internship (ECG arrhythmia classification, CNNs and FFT-based processing) and works on structure-aware ML fine-tuning approaches (arXiv submission). ag12+1
Open-source and developer-focused output — maintains public code and technical write-ups (GitHub projects, CRAN package authorship, Medium walkthroughs) to share implementations and reproducible analyses. github+2

Work

Education

Projects

Writing

BITS Pilani at SemEval-2026 Task 9: Structured Supervised Fine-Tuning with DPO Refinement for Polarization Detection

April 1, 2026

ArXiv submission describing a two-stage approach combining structured supervised fine-tuning and DPO refinement for detecting online polarization; submission lists Atharva Gupta as the submitting author.

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Towards Circular Nutrient Economies: An Integrated Manureshed Framework for Agricultural and Municipal Resource Management

February 1, 2026

Journal article presenting the manureshed framework to integrate agricultural and municipal nutrient systems for regional planning and circular-economy analysis.

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Creating a Stripe Agent using Model Context Protocol (MCP)

February 1, 2025

A technical walkthrough demonstrating how to build an MCP server for Stripe to enable AI-driven financial operations, including setup, deployment, and example MCP commands.

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Geospatial Analysis of Precipitation Data and River Networks Using Satellite Imagery

April 1, 2024

Student research project/paper describing geospatial methods for analyzing precipitation data and river networks using satellite imagery.

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Hobbies

Participates in hackathons and software-challenge events and builds small ML/engineering projects. devpost+1