Open to opportunities

Tejaswi Gawai

@tejaswigawai

Software developer building AI-powered computer vision and full-stack web apps with low-latency, scalable deployments on GCP.

India

Message

What I'm looking for

I’m looking to build and deploy low-latency AI systems—computer vision and GenAI services—using Docker and GCP. I want to own full-stack or backend modules, ship reliably, and keep improving model and deployment performance.

I’m a results-driven Software Developer building AI-powered applications, computer vision pipelines, and full-stack web solutions. I integrate deep learning models (YOLO, GenAI) with scalable backend architectures to deliver reliable, high-performance systems.

At Aurify Systems Pvt. Ltd, I engineered YOLOX-L and YOLOv5/v8 real-time computer vision detection pipelines on RTSP feeds and deployed Dockerized Django applications using Docker Compose, MySQL, Nginx, and phpMyAdmin. I also built backend microservices using the Whisper API on Google Cloud Run for audio-to-text transcription.

I focus on optimizing deployments with Docker and Google Cloud Platform (GCP), and I build practical tooling to simplify operations. My work also includes LangChain-based AI agents, like an autonomous recruitment agent using Claude 3.5 Sonnet, and end-to-end app development from data pipelines to production-ready services.

Experience

Work history, roles, and key accomplishments

Software Developer

Aurify Systems Pvt. Ltd.

Jul 2025 - May 2026 (10 months)

Engineered YOLOX-L and YOLOv5/v8 real-time computer vision pipelines on RTSP feeds for applications including PPE compliance, parcels, and tire detection. Deployed Dockerized Django applications and built a Whisper-based microservice on Google Cloud Run for transcribing Google Drive audio to text.

YOLOX L YOLO V5 YOLOv8 RTSP OpenCV YOLO Django Docker Docker Compose MySQL Nginx PhpMyAdmin Microservices Google Cloud Run CI CD

Software Developer Intern

Aurify Systems Pvt. Ltd.

Jan 2025 - Jul 2025 (6 months)

Built and supported real-time computer vision detection pipelines using YOLO models on RTSP feeds, and contributed to deploying backend components in Dockerized environments. Assisted with deployment workflows and client communication to ensure smooth delivery and operations.