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VamsiKrishna Kollipara
Mid-level Full-Stack Engineer specializing in AI applications and enterprise SaaS
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About
AI-focused software engineer who has built production CRM intelligence features including audio transcription, summarization, and action-item extraction, plus a multi-agent LLM/NLU pipeline using Supabase, Node.js, RabbitMQ, and CloudWatch. Stands out for a disciplined approach to AI-assisted coding: treating AI like a junior developer, rigorously testing outputs, and refining prompts to prevent hallucinations in real business workflows like resume screening.
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Key Strengths
- Structured AI-assisted development workflow with strong human review
- Production experience building audio-to-notes and meeting intelligence pipelines
- Strong code quality discipline using TypeScript checks, linting, unit tests, Jest, and Postman
- Prompt engineering for grounded, verifiable AI outputs
- Experience catching and correcting LLM hallucinations in resume screening systems
- Design of fault-tolerant event-driven agent architectures
- Hands-on monitoring and observability across AI pipelines
- Pragmatic framework evaluation; chose lower-abstraction production approach over LangChain
- Security- and intent-focused code review process for AI-generated code
- Built internal dashboards to track pipeline health, latency, and error rates
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Experience
Education
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Publications
3 publications
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