Pragadheeswaran Ganapathy
AI Engineer
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About
AI Engineer with 5+ years building production AI in Python and Dockerised AWS APIs at 99%+ uptime. Built hands-on agentic AI projects with Google ADK, trained in LangChain and LangGraph, and keeps deepening technical skills through professional certifications. Birmingham-based and keen to deliver enterprise-grade agentic AI workflows.
Experience
AI Intern - VyVoxel
(2025-06 - 2025-08)
- Cut pipeline time by 50%+ by running synthetic data generation and AI model training concurrently for a VR field servicing application.
Senior Software Engineer - AllGoVision Technologies Pvt. Ltd.
(2022-12 - 2025-03)
- Improved resource utilisation by 30% and sustained 99%+ uptime across 20+ sites in India and the Middle East by re-architecting a 45-model ANPR pipeline into Dockerised, Git-versioned Python/C++ microservices with REST APIs and zero-downtime deployments.
- Turned 16–24 concurrent camera streams into structured JSON events in a SQL database, searchable by time, camera and vehicle attributes, through decode, detection, tracking and cross-stream sync stages with a self-correcting feedback loop.
Software Engineer - Tata Elxsi
(2022-01 - 2022-12)
- Cut clinician review time by 90%+ by building a Python pipeline that turned 3,000+ hours of hospital-camera video into structured per-patient records in a MySQL relational database, retrieved and visualised in a React dashboard.
- Reduced compute cost by 30% while holding 99%+ uptime by optimising models and streamlining an ML backend of Dockerised services and REST APIs on AWS (EC2, S3, SQS).
- Improved production performance by 5% every quarter by owning the full AI product lifecycle, from model training, application development, testing and debugging to deployment.
- Translated client business requirements into 5+ AI prototypes by partnering with client and internal teams and delivering maintainable code, clear documentation and presentations.
Associate Software Engineer - TheDreamX
(2020-03 - 2021-12)
- Achieved 50%+ customer retention for a retail mobile app by deploying face recognition to identify returning shoppers, served through a Python Flask REST API with MySQL and containerised with Docker on AWS (ECS, RDS, S3).
- Delivered 8+ AI solutions with customers in Agile sprints, including image classification for assembly lines, helmet defect detection for quality inspection and medical speech summarisation with Amazon Transcribe and Comprehend Medical.
Education
MSc - Artificial Intelligence and Machine Learning - University of Birmingham, UK (2025-09 - 2026-09)
MBA - Marketing - Amrita Vishwa Vidyapeetham, India (2023-10 - 2025-09)
B.E. - Mechatronics Engineering - Kumaraguru College of Technology, India (2015-06 - 2019-04)
