Open to opportunities

sarva venkata

@sarvavenkata

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Postgraduate automation and robotics engineer specializing in computer vision, ML, and real-time system monitoring.

United Kingdom

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What I'm looking for

I am looking for roles that apply computer vision, ML, and control systems in collaborative teams where I can contribute to real-world, safety-critical projects and continue technical growth.

I am a motivated postgraduate in Automation, Control and Robotics with hands-on engineering experience in pipeline monitoring, data-driven systems, and applied artificial intelligence. I combine practical field experience with academic expertise in computer vision and machine learning to solve real-world problems.

At Commtel I monitored and secured ~700 km of petroleum pipeline infrastructure using a Pipeline Intrusion Detection System, coordinated field teams, prepared technical reports for government stakeholders, and implemented changes that improved field response and operational efficiency by approximately 10 percentage points each.

My MSc projects include developing a deep-learning rice-grain quality classifier with explainable AI (Grad-CAM) and designing PID and sliding-mode controllers for robotic path tracking. I work well in collaborative environments, adapt quickly to new challenges, and seek opportunities to contribute to innovative projects with measurable impact.

Experience

Work history, roles, and key accomplishments

Site Engineer

Commtel

Aug 2023 - Sep 2024 (1 year 1 month)

Monitored and secured ~700 km of petroleum pipeline using a Pipeline Intrusion Detection System, coordinated field teams for incident verification and response, and prepared technical reports for government stakeholders; improved field response rate from ~60% to ~70% and operational efficiency from ~70% to ~80%.

PIDS Incident Response Python Data Analysis Sensor Systems Technical Reporting

MSc Researcher

Sheffield Hallam University

Developed a computer-vision deep learning system to classify rice grain quality, designing and training CNN models, applying Grad-CAM for explainability, and performing dataset annotation and evaluation to validate model performance.

Computer Vision Deep Learning TensorFlow Python OpenCV Data Annotation Explainable AI Model Evaluation

Education

Degrees, certifications, and relevant coursework

Sheffield Hallam University

Master of Science, Automation, Control and Robotics

2024 - 2025

Grade: First Class

Activities and societies: MSc project: Real-Time Rice Grain Quality Classification Using Deep Learning; tools included Python, TensorFlow, OpenCV, MATLAB.

MSc in Automation, Control and Robotics completed with First Class honours, focusing on computer vision and applied AI for real-world systems.