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Software engineer with experience building event-driven .NET microservices and cloud-backed data pipelines, improving latency and stability under high concurrency. Hands-on work across Python/TensorFlow model engineering (including ONNX/INT8 edge deployment) and production systems using Docker, Redis, and observability tooling. Skilled in designing scalable architectures—spanning BLE data ingestion for mobile health monitoring, Snowflake/SQL analytics, and Kafka-based asynchronous communication—while translating results into stakeholder-facing dashboards and reports.…Software engineer with experience building event-driven .NET microservices and cloud-backed data pipelines, improving latency and stability under high concurrency. Hands-on work across Python/TensorFlow model engineering (including ONNX/INT8 edge deployment) and production systems using Docker, Redis, and observability tooling. Skilled in designing scalable architectures—spanning BLE data ingestion for mobile health monitoring, Snowflake/SQL analytics, and Kafka-based asynchronous communication—while translating results into stakeholder-facing dashboards and reports.

Samarth Gupta

Full Stack Developer, Back-End Developer, Data Scientist, +1

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Software engineer with experience building event-driven .NET microservices and cloud-backed data pipelines, improving latency and stability under high concurrency. Hands-on work across Python/TensorFlow model engineering (including ONNX/INT8 edge deployment) and production systems using Docker, Redis, and observability tooling. Skilled in designing scalable architectures—spanning BLE data ingestion for mobile health monitoring, Snowflake/SQL analytics, and Kafka-based asynchronous communication—while translating results into stakeholder-facing dashboards and reports.…Software engineer with experience building event-driven .NET microservices and cloud-backed data pipelines, improving latency and stability under high concurrency. Hands-on work across Python/TensorFlow model engineering (including ONNX/INT8 edge deployment) and production systems using Docker, Redis, and observability tooling. Skilled in designing scalable architectures—spanning BLE data ingestion for mobile health monitoring, Snowflake/SQL analytics, and Kafka-based asynchronous communication—while translating results into stakeholder-facing dashboards and reports.

Available to hire

Software engineer with experience building event-driven .NET microservices and cloud-backed data pipelines, improving latency and stability under high concurrency. Hands-on work across Python/TensorFlow model engineering (including ONNX/INT8 edge deployment) and production systems using Docker, Redis, and observability tooling.

Skilled in designing scalable architectures—spanning BLE data ingestion for mobile health monitoring, Snowflake/SQL analytics, and Kafka-based asynchronous communication—while translating results into stakeholder-facing dashboards and reports.

Skills

Experience Level

Expert

Expert

Expert

Expert

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Expert

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Expert

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Expert

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Intermediate

Intermediate

Language

Work Experience

Software Engineer at Infocentric

February 1, 2026 - Present

Used JFR and .NET Tracing to profile backend services under load, identifying CPU bottlenecks and concurrency hotspots across thread execution paths and shared-state contention points. Improved parallel execution and reduced contention through multithreading and JVM garbage collection tuning, reducing end-to-end latency from 2 minutes to 33 seconds (72% improvement) while maintaining stability under high concurrency. Architected an event-driven microservices pipeline in .NET orchestrating Dockerized connector, parser, chunking, and analysis services via Redis-backed asynchronous job queues for scalable and fault-tolerant processing. Leveraged Snowflake for scalable data pipelines and built interactive R Shiny dashboards for stakeholder-facing visualization and decision support.

Technical Assistant at Monash University

November 1, 2025 - Present

Architected and developed Respio, a cross-platform Flutter application that ingests real-time physiological sensor data over Bluetooth Low Energy (BLE) at 500 Hz for continuous respiratory monitoring. Engineered a scalable cloud-backed data architecture using Firebase Authentication and Cloud Firestore to securely manage user identities and persist structured respiratory recordings. Developed a document generation pipeline that converts recorded physiological signals into structured PDF health reports with statistical summaries and waveform visualizations.