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  • University of Wisconsin Madison
  • Madison, WI
  • 12:12 (UTC -05:00)

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Hi, I'm Aditya Dharap πŸ‘‹

Computer Science @ UW-Madison | Software Lead @ Wisconsin Robotics | Research Assistant @ Knowledge & Concepts Lab

I am an aspiring systems and software engineer specializing in autonomous robotics (ROS2, path planning, control loops), distributed LLM evaluation pipelines, and high-throughput full-stack systems.


πŸš€ Core Focus & Active Engineering

πŸ€– Autonomous Robotics & Guidance Systems

  • Software Lead @ Wisconsin Robotics
    • ROS2 Navigation & Control: Built custom 10Hz swerve-drive control loops in ROS2 featuring custom SLEW rate limiting and graceful degradation under telemetry loss.
    • Geodesic Path Generation: Implemented WGS84 Inverse and Direct geodesic algorithms (geographiclib) to compute exact Archimedean spiral search patterns for autonomous object recovery.
    • Geospatial Mapping & Computer Vision: Developed an offline React/Mercator tile-stitching map engine and an OpenCV mergeMertens HDR photography pipeline with autonomous 90Β° panorama sequencing.
    • Field-tested at the Mars Desert Research Station for the University Rover Challenge 2026 (12th place globally).

πŸ§ͺ Distributed Systems & LLM Alignment Research

  • Research Assistant @ Knowledge & Concepts Lab (UW-Madison)
    • High-Throughput Computing: Executing distributed LLM evaluation workflows across 100GB+ multi-agent debate datasets using CHTC clusters and HTCondor.
    • Optimization & Graph Debugging: Replaced proprietary API calls with open-source models (Qwen-3.5-mini) to cut annotation costs to zero while preserving 97% output similarity; resolved complex NetworkX bipartite graph indexing bugs for alignment scoring.

πŸ’Ό Enterprise AI & Full-Stack Development

  • Full Stack AI Application Intern @ Aragen Lifesciences
    • Hybrid NLP Architecture: Engineered a production meeting analytics platform combining custom SpaCy Named Entity Recognition (NER) and TF-IDF extraction with local LLMs (Gemini-2.5) to boost summary semantic accuracy from 40% to 92%.
    • Low-Latency Backend: Built FastAPI services backed by a 3NF-normalized MySQL database, resolving distributed race conditions for 100+ concurrent users.

🧰 Technical Toolbox

Category Technologies & Tools
Languages Python, C++, Java, SQL, JavaScript
Robotics & Autonomy ROS2, Path Planning, PID Tuning, OpenCV, Sensor Fusion, Camera Control
AI / Machine Learning PyTorch, TensorFlow, LangChain, SpaCy, NetworkX, NumPy, pandas
Systems & Infrastructure Distributed Computing (HTC / HTCondor), MySQL, FastAPI, Linux/Unix, Git
Frontend & Web React, Node.js, Web Mercator APIs

πŸ’‘ A Note on Repositories: Much of my primary codebase exists within public organization repos (such as Wisconsin Robotics) or private institutional repositories (academic research under publication review and enterprise corporate code under NDA).


πŸ“¬ Connect with Me

Pinned Loading

  1. DopplerEffectReloaded DopplerEffectReloaded Public

    Profile repository

  2. WisconsinRobotics/WRoverSoftware_25-26 WisconsinRobotics/WRoverSoftware_25-26 Public

    Official Wisconsin Robotics software repository for the 2026 University Rover Challenge, containing autonomy, control, and base station code.

    Python 2 2

  3. WisconsinRobotics/GUI WisconsinRobotics/GUI Public

    The graphical user interface for controlling the Rover. Contains video stream, map and path display, Jetson console, and ROS telemetry data display.

    JavaScript

  4. EcoScan EcoScan Public

    Forked from youjaepark/EcoScan

    This is a fork of our hackathon project.

    JavaScript

  5. WisconsinRobotics/WRecorder WisconsinRobotics/WRecorder Public

    All camera streaming related software and scripts

    Python 1