Developer · Bangalore, India 🇮🇳 ·
- Edge AI & Video Analytics — real-time inference pipelines on Intel CPU / iGPU / NPU
- Model optimization — OpenVINO IR, quantization, latency/throughput tuning
- Retail & healthcare AI — loss prevention, order accuracy, self-checkout, medical imaging POCs
- Agentic AI — LLM agents, RAG, and Model Context Protocol (MCP) servers
| Project | Description |
|---|---|
| edge-ai-libraries | Performance-optimized libraries, microservices & tools for Edge AI apps |
| edge-ai-suites | Curated sample apps for retail, manufacturing, metro & media use cases |
| hr-mcp-agent-demo | HR assistant built on Model Context Protocol (MCP) servers + agents |
| telecom-ai-assistant | AI assistant for telecom workflows |
| ai-shopping-agent-demo | Conversational shopping agent demo |
| ai-travel-agent | LLM-powered travel planning agent |
| storewide-loss-prevention | Video-analytics reference for retail loss prevention |
| order-accuracy | QSR order-accuracy video-analytics pipeline |
| Category | Skills |
|---|---|
| Programming Languages | Java (8 / 11 / 17 / 21), Python |
| Frameworks | Spring Boot, Hibernate, JUnit, Mockito, Struts |
| Cloud & Tools | AWS S3, AWS CloudWatch, Kubernetes, OpenShift, Docker |
| Products | SailPoint 6.3, BrightSpot, JupyterLab |
| Web Servers | Apache Tomcat 7.0, WebLogic Server |
| Databases | MySQL, PostgreSQL, MongoDB, Redis Cache |
| Web Development | JavaScript, jQuery, HTML, CSS |
| Messaging & Event Streaming | Apache Kafka, NATS |
| Tools & IDE | Jenkins, GitHub, Jira, SonarQube, Maven, Gradle, JaCoCo, SonarLint, STS, pgAdmin4, VS Code, IntelliJ IDEA, Lombok, ELK (Elasticsearch, Logstash, Kibana) |
“Optimizing AI at the edge, one pipeline at a time.”