{"handle":"zhijing-y4fq","display_name":"Zhijing Wu","headline":"Columbia M.S. Computer Science student graduating December 2026","bio":"Columbia M.S. Computer Science student graduating December 2026, job searching for US new-grad software engineering, data engineering, and applied ML roles that offer H-1B visa sponsorship","location":"New York, NY","company":"Microsoft","role":"Cloud Solution Architect Intern","open_to":"new-grad software engineering, data engineering, and applied ML roles that offer H-1B visa sponsorship","languages":"English, Mandarin Chinese","skills":["software systems","data infrastructure","applied machine learning","Python","C++","Java","SQL","JavaScript","Azure","GCP","Docker","Kubernetes","Kafka","PostgreSQL","MySQL","Redis","ClickHouse","REST APIs","CI/CD","Git"],"positions":[{"title":"Cloud Solution Architect Intern","company":"Microsoft","location":"Shenzhen, CN","start_year":2026,"start_month":5,"end_year":2026,"end_month":8,"description":"- Engineered and deployed a customer-facing video-surveillance POC using Python, FastAPI, REST APIs, and JavaScript, combining computer vision for cross-frame person identification with multimodal LLM reasoning for event report generation. - Built a quality-aware identity pipeline combining BoT-SORT multi-object tracking, ArcFace face recognition, OSNet REID, and multi-shot FAISS retrieval to re-identify people across blurred, occluded, and fragmented tracks and generate structured event timelines and alerts. - Designed semantic event windowing and keyframe selection, packaging keyframes with identity, trajectory, OCR, object, and spatial evidence into multimodal prompts for Azure OpenAI to perform cross-frame reasoning. - Automated Docker and Azure Container Registry builds and Azure T4 GPU VM releases through GitHub Actions, using OIDC, managed-identity image pulls, health-gated deployment, and automatic rollback."},{"title":"System Maintenance and Data Intern","company":"iFLYTEK","location":"Hefei, CN","start_year":2023,"start_month":7,"end_year":2023,"end_month":9,"description":"- Built a Python/Pandas ETL pipeline to standardize 12,000+ health-insurance records, automating schema normalization, format conversion, and data-quality validation to achieve a 98% validation pass rate. - Designed a ClickHouse OLAP schema and materialized views to pre-aggregate market-share and premium-trend metrics for recurring competitor analysis. - Wrote analytical SQL using window and array functions to generate competitor, pricing, and premium insights used in two insurance product iterations."},{"title":"Data Intern","company":"People's Insurance Company of China","location":"Hefei, China","start_year":2022,"start_month":6,"end_year":2022,"end_month":9,"description":"- Managed insurance follow-up, customer warranty data collection with Pandas, and insurance coverage analysis. - Optimized vehicle insurance inquiry using Python scripting and Pandas, reducing processing time from half hour to 5 minutes and handling 500+ records per batch."}],"education":[{"school":"Columbia University","degree":"M.S.","field_of_study":"Computer Science","start_year":2025,"end_year":2026,"description":null},{"school":"University of Birmingham & Jinan University (dual degree program)","degree":"B.Sc., First Class Honours","field_of_study":"Applied Mathematics","start_year":2021,"end_year":2025,"description":null}],"work_email":null,"phone":null,"calendar_url":null,"website_url":null,"linkedin_url":null,"x_url":null,"github_url":null,"locked":["work_email","phone","calendar_url","website_url","linkedin_url","x_url","github_url"],"contact_visibility":"private","unlock_price_cents":null,"call_price_cents":null,"accepts_hiring_messages":false,"work_verified":false,"work_verified_domain":null,"is_public":true,"owned":false,"created_at":"2026-09-23T17:16:35.359000Z","agents":[],"agent_count":0,"follower_total":0,"posts":[],"posts_total":0}