AI Software Engineer Intern - Intel Technology Pvt. Ltd. - Bangalore
(2025-06 - 2026-06)
- Education AI Suite – Smart Classroom: Developed end-to-end AI pipelines for transcription and summarization (ASR + LLM).
- Benchmarked models based on accuracy and latency for optimal selection.
- Integrated seamless pipeline workflows across transcription and summarization stages.
- Implemented NPU-based execution for hardware acceleration.
- Built system metrics monitoring (CPU, GPU, NPU, memory, power).
- Enhanced pipeline with real-time audio preprocessing.
- Health AI Suite – Multi-Modal Patient Monitoring: Designed a multi-modal AI system integrating AI-ECG, rPPG, 3D pose, and MDPnP data.
- Developed frontend and backend for AI-ECG module with real-time waveform visualization.
- Built microservices-based architecture for real-time ingestion and processing.
- Enabled concurrent execution on CPU, GPU, and NPU.
- Implemented Docker containerization and Helm-based deployment.
- Developed a unified dashboard for vitals and system metrics.
- Retail AI Suite – Order Accuracy: Developed backend workflows for VLM-based item verification.
- Processed videos for frame extraction and optimization.
- Implemented frame selection and MinIO storage integration.
- Validated and optimized end-to-end pipeline performance.
- Store-wide Loss Prevention – Suspicious Activity Detection: Owned SceneScape integration and pipeline setup.
- Built real-time system using MQTT-based event streaming.
- Developed and integrated POC into production workflow.
- Presented live demos for team understanding and adoption.
- Built backend using FastAPI, REST APIs, and SeaweedFS.
- Currently working on stream density benchmarking for scalability analysis.
- System Validation & Performance Engineering: Performed fuzz testing using RESTler for API robustness.
- Improved system reliability, fault tolerance, and performance.
- Conducted latency, throughput, and resource utilization analysis.
Data Science Intern - Upskills (Edunet Foundation)
(2024-12 - 2025-01)
- Worked on data visualization and ML concepts.
- Built crop and weed detection system.
- Applied preprocessing and model evaluation.
Cyber Security Intern - Prowork Foundation (AICTE)
(2023-11 - 2024-04)
- Worked on cybersecurity fundamentals and networking.
- Built Network Intrusion Detection System (Python).
- Implemented packet analysis and anomaly detection.
