Anushka Agarwal

Anything

About

Passionate machine learning engineer with a strong background in Computer Vision, AI and Software Development. With experience across startups, research and industry, I thrive at the intersection of technology and real-world impact. Currently pursuing Masters of Science in Computer Science (Machine Learning track) at Columbia University, New York.

Machine Learning Engineer & Software Engineer

Birthday: 24 January 2002
Website: anushka24agarwal.github.io
Phone: +1 646 210 4265
City: New York, USA

Age: 23
Degree: Master's
Education: Columbia University
Email: agarwal.anushka@columbia.edu

Currently working as a Research Assistant at Columbia Climate School. Previously worked with Threepio a startup incubated at Columbia Business School as a part-time Software Engineer, interned at Intel as a Technical Intern for six months.

Winner of UNESCO India Africa International Hackathon 2022

Winner of Smart India Hackathon 2022 Software Edition

Research Paper published in IEEE Xplore [Link]

Skills

Programming Languages: C, C++, Python, Java, ABAP, SQL, MATLAB, HTML, Bootstrap, JavaScript

Application Tools: GitHub, SAP Vistex, PostgreSQL, SQLAlchemy, Visual Studio, Android Studio, AWS, GCP, Postman

Frameworks: React, Flask, Django, FastAPI, Docker, OpenCV, PyTorch, TensorFlow, Pandas, Numpy, Flask, Scikit-learn, Keras, Google Colab, Jupyter Notebbok

Resume

Education

M.S. Computer Science (Machine Learning Track)

Aug 2024 - Dec 2025

Columbia University, New York

Coursework: Applied Machine Learning, Computer Vision, Deep Learning, Artificial Intelligence, Advance Spoken Language, Algorithms, Databases

Teaching Assistant: Advance Topics in Deep Learning

Activity: DSI Scholar Spring 2025, Columbia Build Lab Engineer Fall 2024

B.E. Computer Science and Engineering

Dec 2020 - June 2024

R.V. College of Engineering, Bangalore, India

Coursework: AI and ML, Artificial Neural Networks, Object Oriented Programming, Advanced Algorithms, Data Structures and its Applications, Operating Systems

Activity: Student Placement Coordinator, Operations Manager at Frequency Club, Footprints Dance Club

Professional Experience

Research Assistant

Jan 2025 - Present

Columbia Climate School, New York, NY

Develop production-ready FastAPI web service to serve ML pipeline through RESTful API endpoints.
Implement Docker-containerized app on GCP, reducing manual analysis workflow by 80% for end-users.
Apply OpenCV-based image pre-processing to enhance segmentation across 1000+ marine microscopy images.
Build a transfer learning architecture via ResNet-50 leveraging TensorFlow for feature extraction.
Optimized K-Medoids clustering algorithm to identify 20+ distinct marine species with 85% purity score.

Software Engineer

Sep 2024 - Dec 2024

Threepio, Columbia Build Lab, New York, NY

Launched a full-stack Django-React web app for subtitle generation, reducing processing time by 75%.
Engineered a Python based microservice architecture handling 100+ concurrent transcription API requests.
Programmed JWT authentication and RBAC system in Django REST Framework enabling secure multiple-client access.
Deployed on AWS EC2 and monitored with CloudWatch, ensuring uptime and alert-driven performance tracking.

Technical Intern

Jan 2024 - June 2024

Intel, Bangalore, India

Containerized core services using Docker and deployed scalable test environments with Kubernetes, accelerating regression testing cycles by 45%.
Integrated automated test execution into CI/CD pipelines utilizing PyTest and Selenium, reducing manual QA time by 70%.
Enhanced internal Calculation Workbench tool by developing Python APIs for sales and agreement workflows to support 100K+ invoice records.
Delivered 3 production-ready Q2 features in structured Agile sprints while collaborating under 2 senior engineers on code reviews.

Projects

Driver Behavior Detection Model

Developed a driver behavior classification system using a customized DenseNet121 architecture, incorporating GlobalAveragePooling and Dropout layers for improved generalization. Achieved 98.42% test accuracy across six behavior categories through TensorFlow-based model training and OpenCV-powered image preprocessing and augmentation.

Service Booking Platform

Developed intuitive marketplace platform with React frontend, implementing dynamic form validation and state management. Integrated RESTful Flask APIs for core platform operations, improving user workflow efficiency by 30%. Designed a normalized PostgreSQL schema and optimized SQLAlchemy queries, reducing join overhead by 40%. Hosted the application on GCP Compute Engine and Cloud SQL for scalable and reliable performance.

URL Shortener Application

A full-stack URL shortening service built with FastAPI (backend), React (frontend) and PostgreSQL for storage. Fully containerized using Docker and Docker Compose. Generates short, shareable URLs, redirect users to original links with a modern React UI with Axios integration

Linguistic Bridge

Trained custom CNN model for ancient script recognition on 200+ unique character classes with data augmentation practices. Implemented thresholding and filtering techniques to pre-process 100+ scanned historical images leveraging OpenCV library. Tuned model hyperparameters through cross-validation, boosting classification accuracy from 70% to 85%.

Image Channel Alignment

This project focuses to combine the red, green, and blue channels of an image that were captured separately. The goal is to automatically align the channels and produce a final color image without manual intervention.

2048 Puzzle

This project implements a two-player version of the 2048 game using the Expectiminimax algorithm. 2048 is played on a 4x4 grid where numbered tiles slide in one of four directions. In this variation, the game is modeled as a two-player interaction

Contact

Location

Manhattan, New York, NY 535022

Call

+1 646 210 4265

Email

anushka24agarwal@gmail.com