# Shiva Reddy Peddireddy

> Software Developer @BeOne Medicines | GTA & MS CS @UCF | Former SDE @Baantics Solutions

Location: United States, United States
Profile: https://flows.cv/shivareddypeddireddy

## Work Experience
### Software Developer (ML Automation Systems & Data Analytics) @ BeOne Medicines
Jan 2025 – Present | San Francisco Bay Area
Architected GPU-accelerated document processing pipeline integrating TensorFlow and PyTorch models for NLU workloads, achieving 65% faster inference through CUDA optimization and mixed-precision (FP16) deployment.

Optimized enterprise ML inference workflows by profiling PyTorch models with Nsight Compute and Python
profilers (cProfile, py-spy), identifying memory bandwidth bottlenecks and reducing batch processing latency by 70%.

Implemented automated performance diagnostics framework for deep learning model serving, reducing P95 response times from 850ms to 390ms through kernel-level profiling and throughput optimization.

Built multi-GPU training pipeline for Virtual Agent NLU models using distributed data parallelism and gradient accumulation, improving training throughput by 3.2x while maintaining 94% model accuracy.

Promoted from GTS Intern to ServiceNow Developer after delivering production ML optimization infrastructure 6 weeks ahead of schedule, exceeding performance benchmarks by 35%

### Global Technology Solutions Intern @ BeOne Medicines
Jan 2025 – Jan 2025
Developed and deployed 5+ custom ServiceNow Employee Center widgets using JavaScript, enabling tailored access to IT services for over 400 users and reducing support request volume by 20%.

Created and maintained 25+ UI Policies and UI Actions to enforce business rules and enhance form functionality through JavaScript, improving data entry accuracy by 35%.

Migrated over 1,200 classified IT asset records from legacy CMDBs to ServiceNow with 100% data validation success, strengthening data governance and compliance posture.

Reduced widget development time by 30% by standardizing reusable component templates in the ServiceNow platform.

### Graduate Teaching Assistant (Computer Architecture & Networking) @ University of Central Florida
Jan 2025 – Present | Florida, United States
Provide academic instruction and mentorship to 170+ undergraduate students, reinforcing concepts in TCP/IP
networking, socket programming, and packet-level analysis.

Guided student teams in hands-on exercises implementing TCP, UDP, IP, ARP, ICMP, DNS, and DHCP, elevating
overall comprehension of networking principles, as measured by a 25% average rise in lab scores.

### Software Developer Engineer (ML Infrastructure & Power Modeling) @ Carelon Global Solutions India
Jan 2022 – Jan 2024
Designed and implemented a distributed data processing pipeline for large-scale transaction logs, applying advanced
caching and indexing techniques that reduced query latency by 40%.

Pioneered the refactoring of legacy Python code for multi-threaded processing, reducing CPU usage during peak
hours by 20% and cutting down on system crashes related to concurrency issues by 30%.

Automated Level 1 and Level 2 IT support ticket resolution by integrating ServiceNow API with internal diagnostic
tools, resolving 50+ tickets daily with zero manual intervention.

Earned promotion to Software Development Engineer six months early due to exceptional performance and
infrastructure reliability improvements.


## Education
### Masters in Computer Science
University of Central Florida

### Bachelor of Technology - BTech in Computer Science
Sreenidhi Institute of Science and Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/shivareddy42
- Portfolio: https://shivareddy42.github.io/
- GitHub: https://github.com/shivareddy42/

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Source: https://flows.cv/shivareddypeddireddy
JSON Resume: https://flows.cv/shivareddypeddireddy/resume.json
Last updated: 2026-04-11