Nishant Karnik

• Lead the Software design for intelligent transportation systems based product. Developed system based on publisher/subscriber architecture and enhanced its performance by 30 % using kernels and profiling tools.
• Adopted advanced data pipelines to streamline telemetry data from different sensor sources. Enhanced throughput and reduce latency of the system as well as adopted CI/CD tools like Jenkins for efficient deployment of software.
• Deployed and trained models on the AWS and implemented DevOps tools like Kubernetes to orchestrate and deploy mission critical software applications.
• Improved TCP client server network fidelity by 75% by optimizing existing codebase.
• Developed UX/UI for an advanced fuzzy rule based threat analysis system using Javascript and React.
• Developed web scraping and automated Machine learning based calibration software in python that helped optimized the efficiency of the data analytics team by 45 %.
• Developed a high throughput and low latency data visualization dashboard for testing High frequency telemetry data from a four node sensor network.
• Implemented Frequency compensation algorithm that improved decoding of Aircraft identification system messages in high clutter scenarios by 25 %.
• Designed end to end software Architecture using DevSecOps principles complying to NATO and US department of Defense regulations for a Maritime Surveillance Application.

• Satellite subsystem failure mode effects and criticality analysis as part of PDR and CDR deliverables.

• Reliability analysis and worst-case analysis with respect to Local oscillator distribution module using statistical method like Monte Carlo simulations in Python.

• Python test automation to gather preliminary test data for using Vector network analyzer.

• data analysis in python with regards to onsite TVAC (thermal and vacuum chamber) tests for Space compliance for Block upconverter and downconverters in Python.