Software Engineer | AI & Full-Stack | Building production-grade systems
- Build scalable, production-grade AI and full-stack systems
- Focus on clean architecture, reliability, and real-world impact
- Work across backend platforms, AI workflows, and modern web stacks
- AI-powered clinical dictation system converting voice input into structured medical summaries
- Chrome Extension frontend with a Python Flask backend for real-time clinical workflows
- HIPAA-aligned architecture with secure data handling using MongoDB and AWS S3
- Designed and used in real clinical environments to improve documentation efficiency
- Production-grade AI chat platform for deploying, testing, and improving LLM behavior
- Real-time streaming responses (SSE) with deterministic A/B experimentation
- Persistent conversations, structured user feedback, and variant-level evaluation signals
- Built with FastAPI, PostgreSQL, Redis, and a lightweight React frontend
- Multi-agent AI research system for analyzing and synthesizing complex documents
- Agent-based architecture for retrieval, reasoning, summarization, and citation generation
- Designed for deep technical and academic research workflows
- Emphasizes automation, structured outputs, and explainable reasoning
- Multi‑model evaluation engine with cost/latency tracking across GPT/Claude/Ollama
- Evaluator suite for instruction adherence, hallucinations, stability, refusal behavior, and format consistency
- Regression detection + version comparison dashboards with human annotation accuracy tracking
- Multi-tenant hiring platform supporting applicant job search, employer pipeline management, and admin oversight
- Secure JWT authentication with granular RBAC enforcing strict data isolation between organizations
- Fault-tolerant application processing with Redis idempotency, DB uniqueness constraints, and audit logging
- Production-ready architecture with auto-migrations on startup, async PostgreSQL, and environment-based CORS
Languages: Python, TypeScript, JavaScript, SQL
Backend: FastAPI, Flask, REST APIs, Node.js, NestJS
Frontend: React, Next.js, Tailwind CSS
AI / ML: LLMs, RAG, LangChain, LangGraph
Infra & Data: AWS, Docker, PostgreSQL, MongoDB, Redis
- Turning complex problems into simple, maintainable systems
- Writing code that other engineers enjoy reading and extending
- Shipping quickly without compromising fundamentals
📫 Reach me
- 🌐 Website: https://keyur-portfolio-psi.vercel.app
- 💼 LinkedIn: https://www.linkedin.com/in/keyur-pawaskar-7b05b6169
- ✉️ Email: [email protected]