Build data platforms, retrieval systems, and cloud backends. Hybrid search, vectors + SQL + graphs. Pragmatic, low-latency, production-minded.
{
"name": "Ishaq Shaik",
"program": "M.S. Computer Science, ASU",
"grad": "May 2026",
"gpa": 3.72,
"focus": ["RAG", "Data Systems", "Cloud"],
"stack": ["Python", "C++", "PostgreSQL", "pgvector",
"Neo4j", "FastAPI", "AWS"],
"work_auth": "U.S. work authorized (F-1 OPT/STEM)"
}
Graduate software engineer focused on retrieval-augmented generation, analytics backends, and cloud data engineering. I design hybrid search that fuses vectors, SQL filters, and graph signals.
Current work spans high-volume ETL, rankers/routers for RAG, and analytics for learner data. I optimize query plans, memory patterns, and deployment pipelines to hit latency and cost targets.
GPA 3.72/4.00. Focus: Cloud Computing, Data Processing at Scale, Statistical ML.
Projects in systems, algorithms, and backend engineering.
Hybrid retrieval on 571M reviews and 48M items. Router-ranker combines pgvector embeddings, SQL filters, and Neo4j “bought-together” edges. Low-latency top-K with HNSW and product graph boosts.
Warehouse and dashboards for learner outcomes. ETL for surveys and activity logs. QuickSight visuals: grads per year/country, cohort funnels, and completion SLAs.
Session-aware bot with hashed IDs, minimal context window, and tool routing. Deployed on AWS with autoscaling and structured logs.
Open to internships and new-grad software roles. Data platforms, retrieval, backend systems.
Work authorization: U.S. work authorized (F-1 OPT/STEM eligible).