curriculum vitae

General Information

Full Name Rachaell Nihalaani
Contact rachaellnihalaani [at] gmail [dot] com
Languages English (native), Hindi (fluent)
Summary Computer Science graduate student entering the industry in July 2024.

Research Areas

  • My research is at the intersection of 3D Computer Vision and Machine Learning, with an emphasis on Registration and Deep Learning.
  • Presently, my projects focus on uncertainty estimation and calibration for automated 3D segmentation methods for medical image analysis, aiming to enhance prediction accuracy and reliability, while identifying limitations and failure modes of automated segmentation methods.

Education

  • 2022 - 2024
    University of Utah – Masters in Computer Science
    3.77 (4.0 scale)
    • Machine Learning (CS 6350)
    • Artificial Intelligence (CS6300)
    • Human-AI Alignment (CS6960)
    • Computer Architecture (CS 6810)
    • Operating Systems (CS 6460)
    • Graduate Algorithms (CS 6150)
    • Image Analysis (CS 7938)
    • Data Science (CS 7941)
    • Robotics (CS 7939)
    • Independent Study (CS6950) (7 credits)
    • Masters Thesis Research (11 credits)
  • 2018 - 2022
    University of Mumbai (Thadomal Shahani Engineering College) – Bachelors in Computer Engineering
    9.43 (10.0 scale)
    • Applied Mathematics I (FEC101), II (FEC201), III (CSC301), IV (CSC401)
    • Applied Physics I (FEC102), II (FEC202)
    • Applied Chemistry I (FEC103), II (FEC203)
    • Environmental Studies (FEC106)
    • Engineering Mechanics (FEC104)
    • Basic Electrical Engineering (FEC105)
    • Engineering Drawing (FEC204)
    • Basic Workshop and Practice I (FEL101), II (FEL201)
    • Discrete Structures (CSC303)
    • Theory of Computer Science (CSC504)
    • Data Structures (CSC305) and Lab (CSL303)
    • Analysis of Algorithms (CSC402) and Lab (CSL401)
    • Advance Algorithm (CSDLO5013)
    • Machine Learning (CSDLO6021)
    • Artificial Intelligence and Soft Computing (CSC703)
    • Natural Language Processing (CSDLO8012)
    • Computational Lab I (CSL704) and II (CSL804)
    • Cloud Computing Lab (CSL803)
    • Computer Organization and Architecture (CSC403)
    • Processor Architecture Lab (CSL403)
    • Operating Systems (CSC405) and Lab (CSL404)
    • Microprocessor (CSC501) and Lab (CSL501)
    • System Programming and Compiler Construction (CSC602)
    • System Software Lab (CSL602)
    • Computer Network (CSC503) and Lab (CSL502)
    • Cryptography and System Security (CSC604)
    • System Security Lab (CSL604)
    • Computer Graphics (CSC404) and Lab (CSL402)
    • Distributed Computing (CSC802) and Lab (CSL802)
    • Database Management System (CSC502)
    • Database and Information System Lab (CSL503)
    • Data Warehousing and Mining (CSC603) and Lab (CSL603)
    • Big Data and Analytics (CSDLO7032)
    • Structured Programming Approach (FEC205)
    • OOPM Java Lab (CSL304)
    • Open Source Technology Lab (CSL405)
    • Web Design Lab (CSL504)
    • Software Engineering (CSC601) and Lab (CSL601)
    • Mobile Communications and Computing (CSC702)
    • Mobile Application Development Technology Lab (CSL702)
    • Human Machine Interaction (CSC801) and Lab (CSL801)
    • Electronic Circuits and Communication Fundamentals (CSC304)
    • Digital Logic and Design Analysis (CSC302)
    • Basic Electronics Lab (CSL302)
    • Digital System Lab (CSL301)
    • Digital Signal and Image Processing (CSC701)
    • Management Information Systems (ILO7013)
    • Project Management (ILO8021)
    • Communication Skills (FEC206)
    • Business Communication and Ethics (CSL505)
  • 2020 - 2022
    Indian Institute of Technology, Madras – Diploma in Data Science
    Course Website
    • Machine Learning Foundations (BSCS2004)
    • Machine Learning Techniques (BSCS2007)
    • Machine Learning Practice (BSCS2008)
    • Machine Learning Practice - Project (BSCS2008P)
    • Business Data Management (BSMS2001)
    • Business Analytics (BSMS2002)
    • Tools in Data Science (BSSE2002)
    • Business Data Management - Project(BSMS2001P)
    • Mathematics for Data Science I (BSMA1001)
    • Mathematics for Data Science II (BSMA1003)
    • Statistics for Data Science I (BSMA1002)
    • Statistics for Data Science II (BSMA1004)
    • Computational Thinking (BSCS1001)
    • Programming in Python (BSCS1002)
    • English I (BSHS1001)
    • English II (BSHS1002)
  • 2020 - 2022
    Indian Institute of Technology, Madras – Diploma in Programming
    Course Website
    • Mathematics for Data Science I (BSMA1001)
    • Mathematics for Data Science II (BSMA1003)
    • Statistics for Data Science I (BSMA1002)
    • Statistics for Data Science II (BSMA1004)
    • Computational Thinking (BSCS1001)
    • Programming in Python (BSCS1002)
    • English I (BSHS1001)
    • English II (BSHS1002)
    • Database Management Systems (BSCS2001)
    • Programming, Data Structures and Algorithms using Python (BSCS2002)
    • Programming Concepts using Java (BSCS2005)
    • System Commands (BSSE2001)
    • Modern Application Development I (BSCS2003)
    • Modern Application Development II (BSCS2006)
    • Modern Application Development I - Project (BSCS2003P)
    • Modern Application Development II - Project (BSCS2006P)

Work Experience

  • 2022 - now
    Graduate Research Assistant at Scientific Computing and Imaging (SCI) Institute
    • Spearheaded a study on the integration of uncertainty quantification (UQ) methods into slice propagation methods for medical image analysis. This study focused on enhancing the trustworthiness of these methods with minimal expert supervision.
    • Demonstrated that incorporating UQ improves predictive accuracy and confidence estimation.
    • Mastered a toolkit including Python, PyTorch, TensorFlow; employing OpenCV and Scikit-Image to develop imaging solutions with expertise in machine learning and computer vision.

Teaching Experience

  • Spring 2024
    Teaching Assistant for COMP1010-020: Programming for All 1
    • Introduction to programming (via Python) course for non-CS majors at University of Utah.
    • Taught by Prof. Nabil Makarem
    • I facilitated programming labs, provided support during office hours, and assessed students' homework and exams.

Technical skills

  • ○ Programming languages: Python, C, C++, Java.
  • ○ Data Structures and Algorithms: Familiarity with concepts used in algorithmic competitions and machine learning research.
  • ○ Frameworks: PyTorch, TensorFlow, NumPy, Pandas, Matplotlib, Keras, SciPy, Scikit-Image, SimpleITK, OpenCV, Pillow, Monai.
  • ○ Database Systems: MySQL.
  • ○ Developer Tools: Git, Docker, GPT-4, OpenAI, CUDA, Apache Kafka.
  • ○ Additional Skills: Experience with VTK, ParaView, SQL, PowerBI, and Hugging Face.

Technical Projects

  • Income Level Prediction | Machine Learning |
    • Prediction task was to determine whether a person makes over 50K a year given the census information.
    • Evaluated over multiple ML classification algorithms to achieve a prediction accuracy of 92.42%
  • Marketing Startegy - Personalised Offer | Machine Learning |
    • Prediction task is to understand the driver's behavior regarding their preference for discount/offer for dining/takeaway.
    • Used Logistic Regression, Random Forest, and AdaBoost for analysis.

Leadership and Volunteering Activities

  • 2023 - 2024
    • Colligiate Member at Society of Women Engineers (2023-2024)
    • Member at Graduate Society of Women Engineers, University of Utah Chapter (2022-2024)
    • Cultural Secretary at Indian Student Association (ISA), University of Utah (2023-2024)
    2020 - 2021
    • Secretary at Rotaract Club of Thadomal Shahani Engineering College, University of Mumbai (2020-2021)
    • Vice President and Digital Communications Director at Rotaract Club of Thadomal Shahani Engineering College, University of Mumbai (2019-2020)
    • Volunteer at Rotaract Club of Thadomal Shahani Engineering College, University of Mumbai (2018-2019)
    • Editor at Synapse: The Magazine Team of Thadomal Shahani Engineering College, University of Mumbai (2019-2021)
    • Marketing and Public Relations Committee Member at CodeStorm: Technical Committee of Thadomal Shahani Engineering College, University of Mumbai (2019-2021)
    • Mathematics Teacher at AngelXpress Foundation (2020-2021)
    • Mathematics and Information Technology Teacher at Taksheel Foundation (2020-2021)
    • Artificial Intelligence Teacher at Coding and More (2020)
    • Computer Applications Teacher (self-employed) (2020)

Other Interests

  • Sports: swimming, hiking, yoga, tennis
  • Hobbies: dancing, baking and painting