
Sasi Kumar
@sasikumar6
Full Stack AI Developer at ZEB AI, engineering agentic incident analysis that reduced manual triage by 40%.
What I'm looking for
At ZEB AI, I engineered Agentic AI solutions with Claude LLMs and workflow automation for an enterprise incident monitoring platform, reducing manual triage efforts by 40%. I also architected backend microservices and secure REST APIs using FastAPI and PostgreSQL.
At ZEB AI, I contributed across AI engineering and full stack development, including Docker deployments through automated CI/CD pipelines and event-driven alert routing.
At Avasoft Technologies, I developed a React.js and Node.js application for QuickBill Enterprise SaaS Platform. Its SQL databases and RESTful services supported automated generation and delivery of 75,000–100,000 invoices per month.
For the AI-Powered CRM Chatbot at Avasoft Technologies, I engineered conversational workflows and implemented RAG and semantic search for knowledge retrieval and real-time query resolution. I’m targeting Full Stack Developer and AI Developer opportunities where I can contribute to scalable applications, Generative AI, LLM integration, and cloud-native solutions.
Experience
Work history, roles, and key accomplishments
Analyst - AI Platform Engineering
ZEB AI
May 2026 - Jul 2026 (2 months)
Architected scalable backend microservices using FastAPI and PostgreSQL, and engineered Agentic AI solutions with Claude LLMs to accelerate incident analysis and reduce manual triage efforts by 40%. Designed event-driven architectures for routing critical system alerts within 2 minutes.
Software Engineer
Avasoft Technologies
Sep 2024 - Apr 2026 (1 year 7 months)
Developed a scalable React.js and Node.js application for a US staffing organization, and designed SQL databases and RESTful services supporting automated generation of 75,000-100,000 invoices per month. Implemented AWS SQS-based messaging and serverless processing architectures.
AI-Powered CRM Chatbot Engineer
Avasoft Technologies
Engineered an AI-powered chatbot using React.js, Python, and conversational workflows managing 30+ business interaction states. Implemented RAG and semantic search frameworks for intelligent knowledge retrieval and real-time query resolution.
Education
Degrees, certifications, and relevant coursework
Sri Ramachandra Institute of Higher Education and Research
M.Sc., Artificial Intelligence
Grade: CGPA: 8.1
Completed M.Sc. in Artificial Intelligence with a CGPA of 8.1.
Prince Shri Venkateshwara Arts and Science College
B.Sc., Computer Science
Grade: CGPA: 7.0
Completed B.Sc. in Computer Science with a CGPA of 7.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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