shanmukha srinivas challa
AI/ML Engineer — RAG pipelines, multi-agent systems, APIs
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My personal portfolio showcasing AI/ML and Full-Stak projects including Medical Triage RAG, AssedGuard ulti-agent pipeline, and more. Built with React.
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Built Autonomiq DaaS, a trust-minimized Data-as-a-Service platform on the Arc Testnet enabling AI agents and data providers to exchange data using USDC escrow smart contracts. Integrated Solidity, React, and IPFS for verifiable delivery and transparent settlements. Achieved full escrow cycle — Approve → Fund → Deliver → Release — with live on-chain state tracking and automated agent workflow.
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Built a production-style full-stack FastAPI Calculator with secure authentication, user-scoped BREAD/CRUD, a modern responsive UI, analytics dashboard, exports, and comprehensive automated testing.
• JWT authentication with secure password hashing and protected routes
• User ownership enforcement for calculations (returns 403 on cross-user access)
• Full calculation lifecycle: create, view, edit (update operands + operation type), delete
• 9 operation types: add, subtract, multiply, divide, power, modulus, percent_of, nth_root, log_base
• Profile management: update username/email + change password with validation
• Modern UI features: dark/light theme toggle (persistent), toast notifications, live calculation preview, search & filter, responsive design, operation tags/pills
• Statistics dashboard: totals, averages, min/max results, most-used operation, and operations breakdown charts
• Multi-format export: CSV, JSON, PDF
• Database migrations managed with Alembic
• Testing: 194 tests (unit + integration + Playwright E2E), ~96% coverage
• Deployment & automation: Dockerized app + GitHub Actions CI/CD that runs tests/coverage gates and publishes the image to Docker Hub
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Developed an AI-powered medical triage assistant that collects symptoms through guided questionnaires, classifies cases as Routine, Urgent, or Emergency, and generates evidence-based answers using Retrieval-Augmented Generation (RAG). Built a FastAPI backend with Chroma vector search, embeddings, and LLM integration to retrieve trusted medical information with citations and source links. Added downloadable reports, dataset search, and retrieval optimization through Top-k evaluation.
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