| Role |
Length |
Skills |
| Software Engineer @ Rocket Software |
2018 - 2022 |
Data Engg & Analytics: Kafka, PostgreSQL, Linux, Docker, Java / Python
Mainframe: Assembler, JCL, VSAM, TSO/ISPF |
| Research Assistant @ USF |
2023 - Present |
Deep Learning, Gen-AI/LLM, Python, Cyber Security |
| Teaching Assistant - Data Warehousing |
2023 |
Data Modeling, SQL |
Graduate Research Assistant
Cyber Florida, University of South Florida
| May 2023 - Present |
| Tampa, FL |
Research Work:
- Developed and pre-trained LLMs (with BERT, Llama2 architecture) to detect anomalies in SIEM logs, resulting in a 30% enhancement in threat-detection rates compared to existing solutions on the market.
- Employed Inference optimization strategies to improve LLM prediction speed by 72% (C++).
- Built Python APIs to aid cyber analysts in model use, inference and automatic threat report generation.
Administrative tasks (CyberFlorida - Cybersecurity courses):
- Automated data collection processes utilizing web-scraping tools, saving outreach teams 6+ hours weekly.
- Served as the TA for the cybersecurity technical course, supported students in their learning efforts and employed engagement strategies to increase course completion rates.
- Assisted professors in producing statistics and in creating presentations for grant related activities.
Graduate Teaching Assistant
Data Warehousing, Advanced Database Management Courses - School of Information Systems, USF
- Migrated course database from Oracle DB server to PostgreSQL, reducing licensing costs; Adapted course content to ensure compatibility with the new database system.
- Designed example dimensional models (Kimball), analytic queries, ERDs to be used in class instruction.
- Assisted students in learning, setting up database environments and graded their exams.
Software Engineer
Rocket Software
| Sep 2018 – Aug 2022 (4 yrs.) |
| Chennai, India |
- Achieved successful R&D of an Analytics Infrastructure that facilitates data streaming from IBM z/OS to Linux systems enabling off-mainframe analytics options.
- Improved data platform’s end-end throughput by 47% via exploration of pipeline optimization strategies.
- Developed customized Kafka connectors for mainframe products by porting C/librdkafka libraries to z/OS.
- Built admin tools for Kafka Cluster management and monitoring on Linux, saving IT teams 15+ hours monthly.
- Leveraged KSQLDB stream processing to transform unstructured data and introduce JSON schemas.
- Designed and implemented end-end secure data channels for the entire product using ACL enabled 2-way SSL, and IBM AT-TLS.
| Product: TMON Strategic Services |
Sep 2018 - Dec 2020 |
Designation(s): Software Engineer I, Junior Software Engineer |
- Developed a new software framework based on 64-bit z/OS assembler to provide task management, recovery and diagnostics services to mainframe programmers, improving development time by 50% roughly.
- Leveraged native z/OS services to enhance Performance Monitoring product’s startup experience.
- Analyzed customer system dumps and fixed bugs within legacy HLASM code.
- Improved service-level agreements by building Python applications that detect anomalies by analyzing mainframe system activity and resource consumption.
- Orchestrated sub-team efforts from concept to production in 2 successful product releases.
