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Hi, I’m Shreyansh Tehanguria, a data-driven software engineer and research enthusiast pursuing a BS in Data Science at Purdue University. I enjoy building scalable ML-powered systems, from data pipelines and NLP models to low-latency services, with hands-on experience across internships and university research. My work spans autonomous navigation, retrieval-augmented search pipelines, and full-stack development. I thrive in collaborative settings—leading teams, designing experiments, and delivering impact for education and industry partners.…Hi, I’m Shreyansh Tehanguria, a data-driven software engineer and research enthusiast pursuing a BS in Data Science at Purdue University. I enjoy building scalable ML-powered systems, from data pipelines and NLP models to low-latency services, with hands-on experience across internships and university research. My work spans autonomous navigation, retrieval-augmented search pipelines, and full-stack development. I thrive in collaborative settings—leading teams, designing experiments, and delivering impact for education and industry partners.

Shreyansh Tehanguria

Data Scientist, Full Stack Developer, Back-End Developer, +2

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Hi, I’m Shreyansh Tehanguria, a data-driven software engineer and research enthusiast pursuing a BS in Data Science at Purdue University. I enjoy building scalable ML-powered systems, from data pipelines and NLP models to low-latency services, with hands-on experience across internships and university research. My work spans autonomous navigation, retrieval-augmented search pipelines, and full-stack development. I thrive in collaborative settings—leading teams, designing experiments, and delivering impact for education and industry partners.…Hi, I’m Shreyansh Tehanguria, a data-driven software engineer and research enthusiast pursuing a BS in Data Science at Purdue University. I enjoy building scalable ML-powered systems, from data pipelines and NLP models to low-latency services, with hands-on experience across internships and university research. My work spans autonomous navigation, retrieval-augmented search pipelines, and full-stack development. I thrive in collaborative settings—leading teams, designing experiments, and delivering impact for education and industry partners.

Available to hire

Hi, I’m Shreyansh Tehanguria, a data-driven software engineer and research enthusiast pursuing a BS in Data Science at Purdue University. I enjoy building scalable ML-powered systems, from data pipelines and NLP models to low-latency services, with hands-on experience across internships and university research.

My work spans autonomous navigation, retrieval-augmented search pipelines, and full-stack development. I thrive in collaborative settings—leading teams, designing experiments, and delivering impact for education and industry partners.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Work Experience

Software Engineer Intern at Legalgini

May 1, 2025 - May 1, 2025

Developed and optimized a ColBERT-based Retrieval-Augmented Generation (RAG) pipeline, increasing document retrieval accuracy from 70% to 96% across 10,000+ PDFs and reducing memory footprint. Implemented a core feature in Legalgini’s Django platform by integrating Gemini Flash (LLM) via prompt engineering, enabling dynamic benefit assignment and boosting onboarding engagement by 40%. Prototyped a hybrid semantic/keyword search pipeline with lightweight re-ranking, cutting query latency to 400ms.

Autonomous Systems Researcher at Purdue University (Prof J.M Goppert)

May 1, 2025 - May 1, 2025

Designed and evaluated A*, RRT, and RRT* navigation algorithms for an autonomous NARCAN-delivery drone, establishing RRT* as the optimal solution for path planning in cluttered environments. Processed Intel RealSense 3D point-cloud data into 2D occupancy grids, reducing computational load by ~30% and accelerating the motion-planning pipeline for onboard deployment.

Project Manager and Teaching Assistant at Purdue University

May 1, 2024 - May 1, 2024

Led a team of 7 researchers conducting market research across 40 states, overseeing data collection for 10K+ Tabroom tournaments. Guided development of a custom LSTM model for debate sentiment analysis with 95% accuracy and managed a corpus of 40,000+ words. Built a robust data pipeline integrating Hugging Face datasets with a manually labeled dataset across 7 topics.

Data Science Researcher at Purdue University

May 1, 2023 - May 1, 2023

Collaborated on a sensor-based project delivering actionable insights for farmers, analyzing ~30,000 data points per variable. Implemented interval sampling (30, 45, 60 minutes) to reduce data size and improve processing efficiency; evaluated multiple Weather APIs to identify best-fit options for accurate forecasts.