Mohd Hussain

Agentic AI Anomaly Detection & Inspection System - Bangalore, India

(2026)

Engineered an automated visual inspection microservice combining computer vision inference with agentic tool-calling workflows.

Designed active learning feedback loops capturing low-confidence predictions (IoU < 0.50) into MongoDB for automated model retraining.
Containerized model execution routines via Docker, delivering lightweight REST endpoints operating at low-latency performance standards.

Real-Time Telemetry & Data Streaming Engine - Bangalore, India

(2025 - 2026)

Built a high-concurrency streaming backend in FastAPI and WebSockets to process real-time telemetry feeds with zero browser reloads.

Optimized client memory buffers and connection pooling mechanisms, eliminating memory leaks during long-running streaming sessions.
Established automated CI/CD unit testing workflows using GitHub Actions to maintain 100% build reliability across deployments.

Multi-Stream Processing & Data Pipeline - Bangalore, India

(2025)

Designed a multi-threaded data ingestion pipeline to process continuous video and event streams across parallel system nodes.

Applied spatial-temporal filtering algorithms to eliminate signal noise, achieving a 15% reduction in false-positive detection alerts.
Accelerated deep learning execution logic on GPU hardware via ONNX Runtime and C++, increasing throughput from 22 FPS to 48 FPS.

Microservice API Gateway & Integration Hub - Bangalore, India

(2025)

Developed a modular API gateway microservice to aggregate, transform, and validate structured JSON/XML data payloads.

Implemented middleware for request rate limiting, token authentication, and centralized error logging to maximize service uptime.

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