CV

My work experience and extra-curriculars/hobbies.

Basics

Name Anuj Patel
Label Data Scientist, AI & Machine Learning Engineer
Email amp10162@nyu.edu
Phone 347.401.7880
Url https://anuj3509.github.io
Summary Graduate student at New York University with a solid foundation in AI/ML, Data Science and Wireless Communications

Education

  • 2023.09 - 2025.05

    New York, NY

    Master of Science
    New York University
    Electrical Engineering
    • Machine Learning
    • High Performance Machine Learning
    • Deep Learning
    • Big Data
    • Computer Vision
    • Wireless Communications
    • Probability & Stochastic Processes
    • Digital Signal Processing
    • Internet Architecture & Protocols
  • 2019.07 - 2023.05

    Tamil Nadu, India

    Bachelor of Technology
    Vellore Institute of Technology
    Electronics & Communication Engineering
    • Object Oriented Programming
    • Advanced JAVA Programming
    • Statistics
    • Applied Linear Algebra
    • Cryptography and Network Security
    • VLSI System Design
    • Artificial Intelligence for Biomedical

Work

  • 2024.06 - 2024.08

    New Brunswick, NJ

    Data Science Intern
    Johnson & Johnson
    Developed ML models to improve performance of devices used in open laparoscopic surgeries.
    • Generative AI & Data Science
    • Python
  • 2022.12 - 2023.05

    Ahmedabad, India

    Quantum Communcations Researcher
    Indian Space Research Organization
    Researched on various measures to improve space-to-ground BB84 Quantum Key Distribution processes.
    • Free Space Optics & Wireless Communications
    • MATLAB, Python, C/C++, FPGA, LabVIEW
  • 2022.05 - 2022.07

    Vadodara, India

    Network & Instrumentation Intern
    Indian Oil Corporation Ltd.
    Examined MPLS and SD-WAN technologies in the M(IS) department & optimized the intricate operations of the preliminary refining pipelines in Atmospheric Unit (AU) IV.
    • Network Design and Security
    • TCP/IP, Wireshark, Bash

Volunteer

  • 2023.09 - 2025.05

    New York, NY

    Alternate Senator
    NYU Student Government Assembly (New York University)
    Advocated for graduate student interests in university senate meetings, influencing policies to enhance campus safety, diversity, and inclusivity.
    • Advocated for 40+ policies and reforms.
    • Organized 30+ events and tabling sessions impacting 10000+ students, faculty and staff.
  • 2024.08 - 2025.01

    New York, NY

    Graduate Orientation Captain
    NYU Tandon School of Engineering
    Led 40+ orientation leaders to onboard 1,600+ students at NYU Tandon, organizing inclusive events to foster community and ensure a seamless orientation experience during Fall 2024 and Spring 2025.
    • Managed 20+ events within a span of 3 days to provide a remarkable welcome to incoming students.
  • 2024.09 - 2024.10

    New York, NY

    LAUNCH Peer Mentor
    NYU Tandon School of Engineering
    Mentored 12 first-year graduate students at NYU Tandon, organizing workshops on time management, networking, and leadership to support their academic and professional growth.
    • Awarded $700 in recognition for exceptional mentorship and leadership.
  • 2022.08 - 2023.07

    Ahmedabad, India

    Administrative Assistant
    Blind People's Association
    Supervised activities at Rasotsav-22 for the Blind People’s Association and taught Science, Math, Computer, and Chess to ~100 students requiring special needs in grades 9-12.
    • Awarded 'Best Organizer' for Rasotsav-22.
    • Directly managed 15+ events impacting 100+ children with distinct support needs and 100+ volunteers.

Awards

  • 2024.05.12
    Emerging Leaders Award (GR)
    New York University
    Recognized for outstanding leadership initiatives and student engagement at NYU Tandon School of Engineering.
  • 2024.05.20
    NYU Tandon Ambassador Scholarship
    New York University
    Awarded $4300 in recognition for being a NYU Tandon Ambassador.
  • 2023.09.05
    NYU Merit Scholarship
    New York University
    Awarded $8000/yr in recognition of previous academic achievements.

Publications

Skills

Programming Languages
Python, MATLAB, R, C/C++, CUDA, Java, Bash, SQL, LabVIEW
Data Science & Machine Learning
PyTorch, TensorFlow, Keras, Scikit-Learn, NumPy, Pandas, MLFlow, Flyte, CUDA Programming, MLOps, BERT, T5, GPT, A/B Testing
Data Engineering & Big Data
Apache Spark, Hadoop, HDFS, Hive, PySpark, BigQuery, ETL, Apache Kafka, Apache Airflow, PostgreSQL, NoSQL, CosmosDB, MongoDB, Data Pipelines, Linux
Cloud & DevOps
AWS, Azure, GCP, Databricks, Kubernetes, Docker, CI/CD
Version Control: Git, GitLab
Data Visualization
matplotlib, seaborn, plotly, ggplot, Tableau, PowerBI, MS Office
Wireless Technologies
5G Protocols, TCP/IP, Wireshark, Massive MIMO, OFDM, RAN, MPLS, SD-WAN, Free Space Optics, Signal Processing

Languages

English
Fluent
Gujarati
Native Speaker
Hindi
Fluent
Spanish
Intermediate

Interests

AI/ML & Data Science
NLP
LLMs
ML Modelling
Fraud & Anomaly Detection
Recommendation Systems
Generative AI
Data Engineering
Data Analysis
Time Series Forecasting
Wireless Communications
Massive MIMO and Beamforming
RL for Resource Allocation and Beamforming
Ultra-Reliable Low Latency Communications
mmWave and THz Communications
AI-Driven Channel Estimation
Intelligent Spectrum Management
Sparse and Adaptive Modulation Techniques
Polar Codes and LDPC for Efficient Systems
Sustainable 6G Networks

References

Sashank Gangadharabhotla
I had the distinct pleasure of mentoring Anuj during his internship at J&J. From the outset, he impressed me with his ability to swiftly navigate complex challenges and contribute thoughtful, innovative ideas. Anuj combines sharp analytical skills with a collaborative spirit, making them an invaluable asset to any team. His proactive approach and exceptional communication skills set him apart, and I have no doubt that he will continue to excel in all future endeavors.

Projects

  • 2024.09 - 2024.12
    Efficient Federated Learning
    Pioneered an efficient Federated Learning framework, reducing training time by 22%, boosting model generalization, and increasing bandwidth efficiency by 143% using gradient compression and mixed-precision training on ResNet models with PyTorch DDP, DeepSpeed, and Hugging Face Accelerate.
    • Federated Learning, Distributed Systems, Distributed Deep Learning, High Performance Computing
  • 2024.09 - 2024.12
    Movie Recommendation System with NCF
    Built and deployed a scalable movie recommendation system using NCF, achieving a 50% Hit Ratio on MovieLens 1M, and optimized a 1M-record data pipeline with Spark processing, SQL backend, and Streamlit frontend, reducing recommendation retrieval time by 33%.
    • Recommendation Systems, Neural Collaborative Filtering, Statistical Data Analysis
  • 2024.09 - 2024.12
    Multimodal Emotion Recognition
    Enhanced a transformer-based emotion recognition framework, achieving 33.96% top-1 and 98.13% top-5 precision on RAVDESS data, by integrating facial and vocal cues and applying advanced fusion techniques to process 4,000+ signals, improving robustness in noisy datasets.
    • Emotion Recognition, Deep Learning, Computer Vision, Transformer Models, Speech Processing
  • 2024.01 - 2024.05
    Multi-User Massive MIMO Channel Estimation
    Used MATLAB’s 5G toolbox for ray tracing an indoor sub-6G massive MIMO scenario at 2.5 GHz, generating 4 channel datasets with varying base stations, and developed a cGAN-based estimation method that outperformed U-Net, CNN, and MLP, achieving significant dB gains and accurate channel images at lower SNRs.
    • Channel Estimation, 5G Protocols, Wireless Communications, Ray Tracing, Generative Adversarial Networks