Ankit Parekh Email & Phone Number

New York City, New York, US

• Development of Crash Record Attribute Standardization Hub DMV Geocoding tool to include various features like mile-marker search, layer rendering using direct geoserver requests using OpenLayers, and client-side regex.
• Adding 3D Elevation & Surface plots to the new Geovine tool using Plotly.js and troubleshooting various application performance issues.

New York City, New York, US

• Developed an AWS Resource Groups utility for the global cloud footprint (approx. 400,000 resources) of the organization to improve resource observability and perform governance operations.
• Standardization of cost allocation rules for all 11 Lines of Businesses and 190+ CMDB applications on Yotascale for analyzing accurate AWS expenditure.
• Built an AWS Cloudwatch Dashboard generation utility to monitor 8+ resource types with 15+ metrics.

• Development of new GeoVine tool with low-latency graphs and tables using Plotly.js for vineyard site-assessment.
• Building data pipelines for Daymet Climate & USGS data in NetCDF files and SSURGO PostgreSQL tables using GEOS and QuerySet API in Django.

Zurich, CH

• ☆ Role:Developing solutions for Automation, DevOps, Data Integration, Cloud Migration, Continuous Integration & Deployment, Cloud and On-Prem Infrastructure Configuration and Management for data streaming platforms.
• Leveraging multiple cloud services in Microsoft Azure to reduce operational costs by 30% and increase release frequency to biweekly. Built data flows and solutions to migrate UBS's in-House applications on the cloud.
• Developed efficient CI/CD/CT pipelines for automation of SDLC stages and reducing time to production by 60 percent for 100+ Java and Python repositories using Teamcity, Jenkins & Gitlab CI. Integrated Quality Testing.
• Developed functional modules that eliminate manual activities in production releases, thereby reducing the release window by approximately 20%. Utilized in-house UBS Deploy deployment tool and designed puppet modules.
• Completed the End-of-Life RHEL 5/6 to RHEL 7 migration for 16 hosts and saved approximately 100K USD annually using the new infrastructure and configuration. Created time-bound alerting mechanisms based on multiple.

Mumbai, Maharashtra, IN

• Project: A Deep-Learning Framework for Generalized Deep-Fakes Detection
• The project was done under the mentorship of Dr. Faruk Kazi in the Centre of Excellence (CoE) in Complex & Nonlinear Dynamical Systems (CNDS) supported by the Department of Science and Technology (DST), Government of.
• Worked on various deep-learning architectures like Generative Adversarial Network (GAN), CNN, LSTM and implemented multiple approaches involving the generation of visual(image & video) Deep-Fakes and detection of both.
• Explored multiple Explainable AI techniques to localize manipulations in visual Deep-Fakes and co-wrote a research paper presented in ICICT-2020, CA, USA.
• Presented the work in IEEE HIPC 2019 and OpenPower AI's Academia-Research-Industry workshop organized by the School of Information Technology, JNTU.* Publication Link: https://ieeexplore.ieee.org/document/9092227*.
• Detection of AI Deep Fake

Zurich, CH

Proof-of-Concept for GUI on Microsoft Azure - Deployed Securities and Settlement Engine GUI through Azure VM using Apache Tomcat for virtualization and migration to cloud. Containerization using Docker engine for GUI deployment as an agile and lightweight solution. Reducing the operational cost for hosting the GUI application by shifting the infrastructure.

Pune, Maharashtra, IN

Topologies of LED Driver circuits - Analysis of parameters required for choosing a specific topology for intelligent driver circuit design. Conducted multiple tests like surge testing, EMI/EMC & shock testing to meet SELV industrial standard and approve production batches for distribution.

Master Of Science - Ms, Computer Engineering - Software And Machine Intelligence

Graduate Certificate, Data Analytics

Bachelor Of Technology, Electronics And Telecommunications Engineering