Ujjwal Yadav

Healthcare Data Engineering

Data Engineer at Shridhar's Neuro LAB (2025-11 – Present)

Healthcare Data Engineering

• Designed, built, and maintained relational database schemas (PostgreSQL/MySQL) for patient records, diagnostic reports, appointments, and billing across a multi-department hospital system.
• Built and orchestrated ETL pipelines (Python, SQL, Airflow-style scheduled jobs) to ingest data from EMR software, lab diagnostic machines, and third-party imaging systems into a centralized clinical data warehouse.
• Implemented data validation, deduplication, and cleaning scripts to enforce integrity of patient demographic and clinical records, cutting data-entry errors by 40%.
• Optimized SQL queries, indexing, and partitioning strategies on high-volume hospital tables, improving patient-record retrieval and report generation speed by 45%.

Software Engineer — Backend & Product Support at Exotel (2025-01 – 2025-11)

FULL TIME PPO considered + 11 Months Paid Internship

• Engineered backend services for enterprise-scale cloud telephony on Linux, maintaining high availability for thousands of enterprise clients across production environments.
• Built and tested REST APIs for telephony services via Postman; identified and resolved 15+ API inconsistencies across dev, staging, and production.
• Wrote Node.js backend scripts for internal tooling and workflow automation, integrating with production APIs and distributed logging systems.
• Designed an NLP-to-SQL Query Engine (Python, Flask, PostgreSQL) converting plain-English prompts to optimized SQL queries — awarded the internal Medal of Honour; adopted company-wide by engineering and operations teams.
• Built an Automated Webhook Retry System using Redis + exponential back-off, cutting missed-event support tickets by 65% and improving SLA for 200+ enterprise accounts.
• Developed a Real-Time Call Quality Dashboard (Web Sockets, Redis Pub/Sub, Python) streaming live CDR metrics — reduced mean time to detect production call issues by 55%.
• Automated monitoring workflows with Python scripting, reducing manual engineering overhead by 70%.

Software Engineer Intern at Natus (2024-03 – 2024-11)

• Developed high-performance C++ backend modules for memory-intensive Linux infrastructure at enterprise scale.
• Automated operational monitoring with Python scripting, reducing manual engineering overhead by 50%.

BTech in Computer Science & Engineering – SGT University (2022 – 2025)

Diploma in Computer Science, Engineering & AI – HSBTE (2019 – 2022)