Ritika Banerjee
@ritikabanerjee2
I build production backend and computer vision systems for AI-powered applications.
What I'm looking for
At Meridian Data Labs, I build production backends for AI-powered inventory management and industrial inspection, connecting FastAPI, PostgreSQL/pgvector, MinIO, Docker, and model inference workflows.
I’ve designed asynchronous image-processing and embedding pipelines with TaskIQ, integrated SAM, TripoSR, and pgvector retrieval, and built WebSocket communication between distributed inspection devices. My computer vision work improved minority-defect recall by 15%, achieved 92% detection accuracy, and improved defect detection accuracy by 80% on 3,000+ raw jute images.
I also built AI publishing and anomaly-detection systems, reducing manual campaign deployment by 70% and delivering sub-two-second alert latency.
Experience
Work history, roles, and key accomplishments
Backend Engineer – Machine Learning & Computer Vision Systems
Meridian Data Labs
Apr 2026 - Present (4 months)
Architected an end-to-end backend system integrating FastAPI, PostgreSQL/pgvector, and MinIO for automated image ingestion, storage, and visual retrieval from Raspberry Pi-based capture devices. Designed an asynchronous processing pipeline using TaskIQ to offload compute-intensive workloads, and integrated SAM, pgvector, and TripoSR for advanced model outputs.
Education
Degrees, certifications, and relevant coursework
Kalinga Institute of Industrial Technology
Bachelor of Technology, Computer Science Engineering
2022 -
Grade: CGPA 9.04
Pursuing a Bachelor of Technology in Computer Science Engineering with a CGPA of 9.04.
Availability
Location
Authorized to work in
Portfolio
github.com/ritika-banerjeeSalary expectations
Job categories
Skills
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