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SINDHUJA PATHAK

@sindhujapathak

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Computer Science undergrad building ML and computer vision pipelines to automate research and deliver reliable models.

India

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What I'm looking for

I’m looking for an entry-level Software Engineering or ML Engineering role where I can apply Python, ML, and computer vision to build reliable systems, learn fast, and deliver measurable impact from data to deployment.

I’m a Computer Science undergraduate at JUET (Class of 2028) with research and project experience across machine learning, computer vision, and NLP. I enjoy turning messy, real-world data into clean inputs and then building models that perform reliably under constraints like noise and variability.

At IIT Kanpur, I wrote a Python/OpenCV computer vision pipeline that automated Brownian motion particle tracking in microscopy video—cutting analysis time by ~90%. I combined contour-based centroid detection with the Hungarian algorithm for robust multi-object tracking across 100+ frames, then used SciPy curve fitting to derive MSD and diffusion coefficients.

I also build end-to-end ML systems, from preprocessing and feature engineering to training, evaluation, and deployment-friendly APIs. I’ve placed Top 8 at Hacktron Hackathon and Top 5 in robotics, and I’m motivated by research-grade results that translate into practical, shippable software.

Experience

Work history, roles, and key accomplishments

Machine Learning Research Intern

Indian Institute of Technology Kanpur

Jun 2026 - Present (0 months)

Built a Python/OpenCV pipeline to detect and track Brownian motion particles in microscopy video, removing manual frame-by-frame review and cutting analysis time by ~90%. Implemented contour-based centroid detection with the Hungarian algorithm for robust multi-object tracking across 100+ frames and produced MSD/diffusion estimates via SciPy curve fitting for statistical analysis.

Python OpenCV Computer Vision Multi Object Tracking Hungarian Algorithm Scipy NumPy data preprocessing

Education

Degrees, certifications, and relevant coursework

Jaypee University of Engineering and Technology (JUET)

Bachelor of Technology (B.Tech), Computer Science and Engineering

2024 -

Activities and societies: Club Coordinator – Rospinot Robotics Club; Co-organizer – Code Srijan National Hackathon; Qualifier – Smart India Hackathon (SIH).

B.Tech in Computer Science and Engineering at JUET (2024–2028) with coursework in Data Structures & Algorithms, AI/ML, and DBMS. Coordinated the Rospinot Robotics Club and co-organized the Code Srijan national hackathon.