Geethika Rao Gouravelli
NYU Computer Engineering graduate student with notable courses including Machine Learning, AI&ML for Network Analysis, Big Data, MLOps, and Deep Learning. Experienced as a Systems Engineer at TCS (Apple, SBI) and Course Assistant at NYU.
I enjoy building scalable and reliable systems that merge machine learning with production. My journey spans academia, industry projects, and teaching — blending data-driven decision making with clean, user-focused design.
Education
New York University
M.S. in Computer Engineering (Expected 2026)
GPA: 3.89/4.0
Relevant Coursework: Machine Learning, MLOps, Deep Learning, Big Data.
VNR VJIET
B.Tech in Computer Science (2018–2022)
GPA: 3.78/4.0
Member, Computer Society of India.
Skills
Programming
Java, Python, C, C++, HTML, CSS, JavaScript, SQL
Frameworks & Tools
Bootstrap, Git, MySQL, Power BI, Tableau
Cloud & Data
Snowflake, Microsoft Azure, Hadoop, Hive, Pig
AI/ML
Machine Learning, Neural Networks, NumPy
Experience
- Assisted in evaluating assignments, exams, and projects with fairness and consistency.
- Provided timely and constructive feedback to improve student outcomes.
- Held office hours to clarify course concepts and support student queries.
- Collaborated with faculty to enhance learning materials and student engagement.
- Developed, validated, and maintained cloud/web applications for global clients.
- Implemented and optimized data warehouse solutions for high performance.
- Served as ETL Developer for Apple, managing large datasets using SQL and ensuring reliability.
- Built “Courier” module for SBI, resolving 100+ production issues in 24 hours with SLA compliance.
- Reduced post-implementation defects with 100% SLA-timed resolution.
- Collaborated within Agile teams, achieving a 4.23/5 performance rating.
- Designed responsive web pages using HTML, CSS, and Bootstrap.
- Improved cross-device compatibility and overall system performance.
- Increased delivery speed by 25% through 20+ collaborative development sessions.
- Developed websites using HTML, CSS, and Bootstrap with clean, responsive design.
- Summarized large datasets for improved data processing speed and accessibility.
Projects
Research Paper Summarization
Fine-tuned BART on arXiv data for abstractive summarization; evaluated with ROUGE/BLEU. Deployed as a Flask API with monitoring via Prometheus/Grafana. CI/CD built with GitHub Actions, ArgoCD, and Terraform.
Fake Currency Detection
Created OpenCV + Python–based system analyzing variance and entropy to detect counterfeit currency with 95.36% accuracy. Software-based replacement for costly hardware authentication devices.
Heart Attack Prediction (PySpark + AWS)
Built distributed ML pipeline using PySpark on Amazon S3. Trained Logistic Regression, Random Forest, and ANN models (~80% accuracy). Deployed via Flask for near real-time predictions.
Achievements
Guinness World Record Holder
Recognized as part of a Guinness World Record achievement, demonstrating collaboration and excellence at scale.
Grace Hopper Celebration 2025
Awarded a fully funded sponsorship by NYU to represent the university at Grace Hopper Celebration 2025, the premier global conference for women technologists.
Contact
Email: gg2879@nyu.edu
Phone: +1 (929) 724-6236
Location: Brooklyn, NY
LinkedIn: linkedin.com/in/geethika-rao-gouravelli