connect()
All systems operational
Texas A&M Graduate Student
College Station, TX · Relocation Ready (US-Wide & Remote)

Architecting scalablesystems & edge AI.

Hi, I'm Shanmukha. Master's student at Texas A&M University and DevOps & Systems Infrastructure Engineer. I build fault-tolerant distributed platforms, high-throughput CI/CD infrastructure, GPU-optimized inference pipelines, and real-time edge telemetry systems. Open to opportunities nationwide across the US & remote.

Education & Background

Academic Foundation & Leadership

Texas A&M University

College Station, Texas

2026 – Present

Master of Science in Computer Science / Engineering

Focus on Distributed Systems, Cloud Infrastructure, High-Performance Computing & GPU Acceleration.

Birla Institute of Technology & Science (BITS) Pilani

Sept 2022 – July 2026

Bachelor of Engineering in Computer Science

CGPA: 8.75/10

DevOps Manager (Linux Users Group): Administered self-hosted Linux servers, Kubernetes clusters, and GitHub Actions pipelines for 10+ university applications.

COMPETITION & ROBOTICS INTEGRATION

2nd Place, Emirates Robotics Competition (10,000 AED Prize)

Engineered autonomous robotics systems (Raspberry Pi, LiDAR, NodeMCU) bridging edge compute with real-time sensor processing and gyroscope control loops.

PEER-REVIEWED IEEE PUBLICATION

ICAMAC 2025 (IEEE Conference)

"Deep Learning-Based Gesture Recognition for Myoelectric Prosthetic Control Using Surface Electromyography" · Focus: Real-time sensor processing & low-latency edge inference.

Experience

Professional History

Jan 2026 – May 2026

DevOps Intern

Topaz FZE

  • ▶Automated software testing and deployment, and managed Linux server infrastructure to ensure high throughput and secure data transfer.
  • ▶Built and integrated monitoring tools (using Grafana and Prometheus) to monitor system stability and automate data backup pipelines.
Feb 2025 – May 2025

Teaching Assistant

Birla Institute of Technology & Science (BITS)

  • ▶Taught 8086 Assembly Language and Microprocessor Design in the Microprocessor and Interfacing Lab to undergraduate sophomores.
  • ▶Guided students through hardware-software interfacing concepts and evaluated lab performance.

Stack

Technical Arsenal

system_capabilities.json

"DevOps & CI/CD": [

"GitHub Actions","Docker","Kubernetes","Linux (RHEL, Oracle, Ubuntu)","Bash"

],

"Cloud & IaC": [

"AWS (EC2, IAM, S3)","Terraform","Nginx","Serverless Deployments"

],

"Observability & Security": [

"Prometheus","Grafana","Datadog","SAST/DAST","Secret Scanning"

],

"Languages & APIs": [

"Python","Go","Java","TypeScript","C++","FastAPI","WebSockets"

],

"Edge & Hardware": [

"Raspberry Pi","NodeMCU","Edge Inference","Sensor Telemetry (LiDAR, Gyroscope)"

],

"AI Infrastructure": [

"LLM Orchestration","GPU optimization (LoRA, Quantization)","Redis Queues"

]

Licenses & Certifications

Verified Credentials

Verified

TensorFlow Developer Certificate

TensorFlow Certificate Program

Issued: Mar 2024 · Expires: Mar 2027

Credential ID: 96809827

Skills Validation

TensorFlowCallbacksNeural NetworksDeep Learning
Verified

Fundamentals of Accelerated Computing with CUDA Python

NVIDIA

Issued: Oct 2023

Credential ID: e552dc27e49347a4bfe812bf71d10168

Skills Validation

PandasPythonCUDAGPU Computing
Verified

Deep Learning: Mastering Neural Networks

MIT xPRO

Issued: Sep 2023

Credential ID: 81098359

Skills Validation

Deep LearningPandasNeural Networks
Verified

Machine Learning with Python

IBM

Issued: Sep 2022

Credential ID: MJZNFND7XA2J

Skills Validation

Data SciencePandasMachine Learning

Infrastructure & Projects

Deployed Workloads

Scalable LLM Orchestration for Real-Time Inference

FastAPIRedisLoRA4-bit Quantization
  • ▶Architected a FastAPI and Redis pipeline to decouple data ingestion from LLMs, solving runtime bottlenecks.
  • ▶Minimized local GPU memory footprint for deployments using LoRA and 4-bit quantization.

Centralized Observability Platform

PythonWebSocketsBashSystemdNginx
  • ▶Built a telemetry system aggregating distributed Linux logs via WebSockets (sub-100ms latency dashboards).
  • ▶Configured a Bash agent to stream metrics, deployed on Ubuntu with Nginx and auto-recovering Systemd services.

Developer Experience (DevEx) & Internal Tooling

PyQt5YOLOv8Automation
  • ▶Developed an internal desktop tool using PyQt5 and YOLOv8 to automate data extraction workflows.
  • ▶Provided custom developer tooling that accelerated AI pipeline execution and data preparation by 60%.