Sreenaina Koujala

Full Stack & AI Developer

Currently developing

B.S. Honors Computer Science

AI-Adaptive Learning Platform | Vanilla JS, Anthropic SDK, PostgreSQL, Supabase, Vite

Architected a vanilla-JS SPA on Vite/Handlebars: custom History-API router with Supabase auth, theming, and 18 hand-built interactive widgets (SVG, Canvas, CSS 3D transforms) implementing graphing, geometry, and least-squares regression with no charting library
Engineered a custom spaced-repetition engine: streak-based interval system and calibrated learn/practice/review loop, backed by a normalized PostgreSQL item-bank with M:N item–skill mapping via UUID arrays + GIN indexes and Row-Level Security
Built a real-time AI teach-back evaluator on Supabase Edge Functions (Deno/TypeScript) via Anthropic SDK with prompt caching, per-minute/daily rate limiting using a refund-on-failure pattern, and strict JSON-schema validation (34% gain on standardized practice exams); designing an agentic Study Coach exposing mastery state as callable tools in a tool-use loop to autonomously assemble remediation sessions

AI Health Platform | Vanilla JS, RAG, PostgreSQL, Supabase | In Development

Building a full-stack perimenopause platform designed for HIPAA compliance (encryption at rest and in transit, PHI minimization, consent-based data flows, audit logging) with automated weekly/monthly trend analysis, hormone-level graphs, and symptom timelines surfaced from daily/analyzed logs
Graph RAG AI layer (Neo4j knowledge graph + vector search) grounded in PubMed and clinical databases (citations and confidence scoring; low-confidence responses defer to a licensed provider) powers medical-document translation, a multilingual symptom-articulation tool producing clinically precise language for doctor visits, and structured appointment preparation

Full-Stack Developer | May 2018 – Present | Ashburn, VA

Developed ZazUI, a production data visualization platform deployed across 10+ federal government programs; rebuilt a high-volume data grid with ES6 and the Intersection Observer API, cutting load times 75% for 100K+ row datasets and eliminating scroll-induced UI failures
Architecting an agentic widget-generation system that reasons over a component schema and emits production-ready UI code from natural language specifications, reducing widget development time 80% (~5 days to ~5 minutes per widget)

Full-Stack & AI Engineer (Co-op) | Sep 2025 – May 2026 | Fairfax, VA

Architected BuilTING, an 82,000-line production system on AWS GovCloud, converting unstructured building documentation (PDFs, blueprints, AutoCAD DXF, photos) into IFC4-compliant BIM models openable in Revit, fully automating a manual engineering workflow end-to-end
Designed a seven-stage serverless pipeline (Step Functions, DynamoDB, S3, ECR, Amazon Bedrock) pairing deterministic DXF parsers with a multimodal vision pipeline for drawing classification, title-block reading, and real-world scale calibration
Built a claims-based provenance model where every extracted fact carries its evidence chain and confidence score; a resolution engine groups competing claims by identity, alias, and spatial proximity and resolves conflicts into tagged observations
Hardened with a dual-validator (Zod + Pydantic) inter-language contract layer, golden tests against live renders, and end-to-end audit logging; custom frontend built with a vanilla-JS SPA and a real-time WebGL IFC viewer to interact with renders

AI & Data Exploitation Intern | Jun 2025 – Aug 2025 | McLean, VA

Built WovenAI, a production AI chat platform (FastAPI, SQLite, AWS Strands SDK) with end-to-end LLM streaming and live markdown re-rendering; architected a pluggable MCP tool registry (HTTP and SSE transports, per-request dynamic loading, and graceful fallback) and authored multiple MCP servers including a SELECT-only sandboxed SQLite server
Replaced multi-hour manual analyst workflows with a governed AI interface built on context engineering, strict JSON schema validation, and scoped tool permissions, reducing data retrieval time by 45%

Software Engineering Intern | Jan 2023 | Reston, VA

Built a custom canvas mini-map scroll-bar (drag-to-scroll and click-to-seek view-port navigation) in React and Konva for a real-time RF spectrogram in the spectrum-analysis tool IQEngine
Migrated React code-base from class components to functional and hooks architecture across multiple signal analysis features; shipped 20+ tasks in a 2-week sprint covering spectrogram UI, custom scrolling, and a full UX overhaul