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Deep GajeraDG
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Deep Gajera

@deepgajera

I build production AI systems for real-time computer vision, edge automation, and industrial verification.

India
Message

What I'm looking for

I'm looking to build and ship reliable, real-time AI products in computer vision, generative AI, edge computing, or MLOps, especially where software connects directly to industrial hardware and delivers measurable automation outcomes.

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

EL
Current

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.

EI

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 logoLT

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.

SS

Swastik School

Higher Secondary Certificate, Science

Grade: 92.54%

Completed Higher Secondary Certificate (HSC) in Science with a score of 92.54%.

LS

L.G. Dholakiya School

Secondary School Certificate, General

Grade: 90.00%

Completed Secondary School Certificate (SSC) with a score of 90.00%.

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