Hello, I'm Ankita Gupta
Software Engineer with 5 years of experience, optimizing workflows for 4 major USA-based pharma clients. Proficient in Python, Java, C++, and cloud platforms like AWS and GCP.
💼 Work Experience
AI & Data Engineering Professional
Mediverse VR
Working on AI-driven data contextualization and automation workflows for immersive content. Focused on connecting data pipelines to AI/ML systems using Python and SQL.
Software Engineer
Spurpunk: Easley Dunn Productions, Inc.
Built Android/iOS/PC role in Visual Studio, adding features and fixing bugs to enhance app functionality. Integrated Unity with Firebase API, using microservices to power analytics with BigQuery and Looker.
Advanced Machine Learning Researcher
New York University
Developed Bayesian networks & Gaussian processes to analyze IMU data points, improving urban growth predictions by 25%. Applied anomaly detection and regression analysis on geospatial datasets from 50+ cities.
Data Engineer
ZS Associates, India
Enabled claims validation by building data pipeline to take lake using NumPy, SQL, and ETL tools. Orchestrated Airflow, interfaced Databricks, utilizing AWS GLUE tables, Git (CI/CD), testing et.al.
🏆 Certifications
AWS Certified Machine Learning
Amazon Web Services
Google Analytics 4 (GA4)
Universal Analytics
Looker Studio
🚀 Featured Projects
Bank Management System
Built a scalable system with a React frontend, Flask backend, and secure CRUD operations. Implemented role-based access control and real-time updates.
AI-Based Malware Detection System
Built a CNN model that detects and classifies malware by converting executable files into RGB images, improving accuracy and realism with a new "non-malware" category.
Adaptive Intrusion Detection Model
Developed a Bi-GAN–based intrusion detection model using transfer learning to enhance network security. Achieved 95% accuracy on the NSL-KDD dataset through discriminator transfer for improved anomaly detection.
Hybrid Music Recommendation System
Built a hybrid recommender system combining collaborative filtering (ALS in PySpark) with content-based modeling (LightFM). Designed for large-scale user–item data on Google Cloud Dataproc, improving cold-start handling and accuracy over baseline models.
Breath Sensor for SIDS
Enhanced infant safety via precise SIDS detection using advanced breath pattern analysis. Integrated affordable button-sized sensor with breathable materials.
RISC-V Processor in Python
Implemented 32-bit RISC-V processor's simulator in Python. Reduced debugging time to 10 mins and handled structural hazards efficiently.
🎓 Education
New York University
Master's in Computer Engineering
Sep 2022 - May 2024
Manipal University, India
Bachelors in Computer Science
Aug 2016 - Jun 2020
🌟 Awards
David C. and Cecilia M. Chang Leadership Award
New York University
Grace Hopper Celebration Scholarship - Virtual Entry for Conference
AnitaB.org
📬 Contact
Let's connect!
I'm always open to discussing new projects, opportunities, and ideas.