
Deep Gajera
@deepgajera
I build production AI systems for real-time computer vision, edge automation, and industrial verification.
What I'm looking for
I've shipped 11+ end-to-end production AI systems across computer vision, generative AI, edge IoT, and MLOps. At Ethics Infotech, I build pharmaceutical packaging verification systems that process 10,000+ items daily with zero manual intervention.
I deployed YOLOv8 OBB and OpenVINO-accelerated RapidOCR on edge terminals, reducing OCR latency by 45% and reaching 99.8% sorting accuracy on live packaging lines. I also build Python hardware orchestration for industrial cameras, barcode scanners, conveyor PLCs, and Raspberry Pi edge nodes.
Previously at Enacle Infotech, I architected asynchronous FastAPI and Flask backends for large-scale GitLab data ingestion, improving API throughput by 40%. I used SSE, RabbitMQ, and Docker job pipelines to reduce service latency by 35%.
I enjoy turning difficult real-world workflows into reliable, low-latency systems, from multi-camera face recognition and OCR search to offline-resilient public-sector verification terminals.
Experience
Work history, roles, and key accomplishments
AI/ML Engineer
Ethics Infotech LLP
Jan 2025 - Present (1 year 8 months)
Architected a high-concurrency edge-to-cloud pharmaceutical packaging verification system, processing 10,000+ items daily with zero manual intervention. Deployed YOLOv8 OBB and OpenVINO-accelerated RapidOCR pipelines, reducing OCR inference latency by 45% and achieving 99.8% sorting accuracy.
Python Developer
Enacle Infotech
Jul 2024 - Dec 2024 (5 months)
Architected asynchronous REST backends using FastAPI and Flask, improving API endpoint throughput by 40% while handling large-scale GitLab data ingestion and synchronization pipelines. Built background job pipelines with RabbitMQ and Docker, reducing service latency by 35%.
Education
Degrees, certifications, and relevant coursework
L.J. Institute of Engineering & Technology
Bachelor of Engineering, Computer Engineering
Grade: 8.2/10 CGPA
Pursued a Bachelor of Engineering in Computer Engineering, achieving a CGPA of 8.2 out of 10.
Swastik School
Higher Secondary Certificate, Science
Grade: 92.54%
Completed Higher Secondary Certificate (HSC) in Science with a score of 92.54%.
L.G. Dholakiya School
Secondary School Certificate, General
Grade: 90.00%
Completed Secondary School Certificate (SSC) with a score of 90.00%.
Availability
Location
Authorized to work in
Job categories
Skills
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