Vipin Bansal

Developed a high-performance search engine using Python, FastAPI, Elasticsearch, and real-time CDC + RabbitMQ. Reduced query latency by 96% (2 mins → 5 sec) for 500M+ legal records, saving INR 30L+ annually. Orchestrated bulk indexing via Python multiprocessing, boosting throughput by 60% to process 2M records/hour.

Software Engineer at Scoreme Solutions (2025-04 – 2026-01)

• Developed a high-performance search engine using Python, FastAPI, Elasticsearch, and real-time CDC + RabbitMQ.
• Reduced query latency by 96% (2 mins → 5 sec) for 500M+ legal records, saving INR 30L+ annually.
• Orchestrated bulk indexing via Python multiprocessing, boosting throughput by 60% to process 2M records/hour.
• Containerized microservices using Docker and deployed on AWS EC2 with Elasticsearch observability logging.
• Built an automated bank analysis system via PDF Plumber, achieving 99.46% data extraction accuracy.
• Built end-to-end automations via Bitbucket Pipelines with Cythonization, dropping deployment errors by 40%.
• Maintained production pipeline workers transforming 7000+ complex financial PDFs into structured CSVs daily.

Data Science Intern at ClickPe.Ai (YCombinator's W23 batch) (2024-01 – 2024-06)

• Developed transactional SMS categorization models using Python, SetFit (Hugging Face), and AWS Lambda.
• Engineered continuous deployment pipelines using GitHub Actions for rapid machine learning model updates.
• Created event-driven webhooks triggering loan repayment collection cycles from real-time credit transactions.
• Constructed analytical portfolio tracking and underwriting business intelligence frameworks inside Redash.
• Authored technical API documentation schemas for backend Loan Origination (LOS) and Management Systems (LMS).

Bachelor of Technology in Electrical Engineering – Punjab Engineering College (2021-12 – 2025-05)

Senior Secondary – Career Point World School (2020-03 – 2021-03)