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System Initialized: Multi-Disciplinary EnTC Engineer

Muskan Gujar

Architecting intelligent systems where AI, hardware, and high-availability operations converge.

The Objective

Turning experimental models into production-grade intelligence.

I specialize in building end-to-end perception pipelines and conversational AI that solve real-world problems. From transit safety to medical diagnostics, my work bridges the gap between raw data and actionable insight.

Currently at NielsenIQ, I manage enterprise-scale cloud operations, ensuring stability and performance.

Professional Log

Experience

2025 — Present

Associate Support Engineer

NielsenIQ

Handling Business As Usual (BAU) operations and implementing cloud workarounds across hybrid Azure & GCP environments. My expertise lies in handling issues and performing robust system monitoring.

AzureGCPMonitoringCloud Ops
2025

Intern : Engineer, NEC Program

NielsenIQ

Supported incident workflows and deployment validation pipelines. Pioneered proactive monitoring protocols that scaled production resilience.

MonitoringCI/CDResilience
2024 — 2025

AI Research Assistant

BVCOE

Collaborated directly with a PhD candidate on advanced neural architecture research. Optimized hybrid deep learning models through hyperparameter tuning and refinements.

Model TuningResNetHybrid DLResearch
Jan 2024

Engineering Intern

Primetals Technologies

Gained industrial exposure to PLC and HMI systems. Developed foundational understanding of industrial automation workflows and hardware-software integration.

PLCHMIAutomation
2024

Finalist

BOROSA (Bosch Road Safety) Hackathon

Designed an intelligent vehicle safety and awareness system. Engineered hardware modules combining proximity sensors, object detection, and collision alerts to enhance road safety through real-time physical telemetry.

HardwareSensorsVehicle SafetyEmbedded Systems
Aug 2023 — Oct 2023

Graduate Apprentice

Zensar Technologies

Expanded foundational software engineering skills, focusing on Object-Oriented Programming (OOP) and Data Structures & Algorithms (DSA). Gained practical experience with Java, Python, and enterprise databases (SQL/PLSQL) while heavily emphasizing professional soft skills.

JavaPythonDSA & OOPSQL
Ecosystem Leadership

Strategic
Impact

Training & Placement Coordinator

Orchestrated placement drives and acted as the bridge between industry heads and the engineering cohort. Designed the visual identity and billboards for the placement team's outreach.

Head of Test Series Committee

Engineered the end-to-end infrastructure for placement test series. Responsible for designing technical exams, conducting skill-gap workshops, and managing the core evaluation pipeline.

Technical Roadmap

Beyond the
Horizon

The current deployments are only the foundation. My technical roadmap includes upcoming research in Transformer-based edge perception, distributed neural architectures, and self-evolving automation scripts.

12+ PROJECTS IN QUEUE
Edge TransformersAuto-BotsDistributed NN

Establish Connection

Open for technical collaboration or research opportunities.