Ajinkya Pahinkar

About Ajinkya Pahinkar

I’m a Software Engineer with a strong foundation in AI, machine learning, and large-scale data systems, currently building production-grade backend and AI-driven platforms at ServiceLink.My work sits at the intersection of AI infrastructure, data engineering, and backend systems:• Designed and built LLM-powered email automation pipelines that detect intent and route high-volume unstructured emails into enterprise workflows, reducing operational cycle times by ~30%.• Migrated complex legacy SQL reporting systems into Microsoft Fabric using optimized PySpark pipelines, implementing Gold-layer Fact/Dim modeling, watermark-based incremental loads, and near-real-time synchronization.• Built scalable PyTest-based API automation frameworks for distributed microservices across mortgage-loan workflows, cutting regression validation time by 20–30%.Previously, I’ve worked on deep learning research across medical imaging, NLP, and remote sensing — training and deploying models using PyTorch (U-Net, Transformers, LSTMs) on large GPU clusters and contributing to Kaggle competitions with 1K+ teams.I’m now looking to work on AI infrastructure, ML platforms, or backend systems that power intelligent products at scale — especially where engineering rigor meets cutting-edge AI.

Experience

1. Software Engineer

   ServiceLink

   Mar 2024 — Present · Pittsburgh, PA, US

   Developed the backend architecture for EXOS Email Automation, creating Python APIs and workflow endpoints. • Migrated legacy reporting to Microsoft Fabric, optimizing 43 SQL-based ETL scripts into PySpark pipelines. • Built a scalable API automation framework for ServiceLink’s EXOS mortgage-loan platform, reducing validation time by 20-30%.

Education

• Indiana University Bloomington

  Master's degree, Data Science

• Vellore Institute of Technology

  Bachelor of Technology - BTech, Computer Science