Sunil Sharma — Capital One - Senior Lead Software Engineer Senior Solution Architect

  • Dynamic and results-oriented Senior Lead Software Engineer / Senior Solution Architect with over 17 years of experience in architecture, engineering, and deploying cloud-based solutions, resilient data pipelines, and scalable machine learning models.
  • Demonstrates exceptional proficiency in managing and optimizing data pipelines, enhancing data quality, and enabling data-driven decision-making across the organization.
  • Possesses comprehensive expertise in data warehousing, data lakes, and real-time data processing systems, with a distinguished record of leading cross-functional teams and orchestrating complex projects to successful completion.
  • Skilled in developing scalable machine learning models using AWS SageMaker, with a focus on automated hyper parameters tuning and model monitoring.
  • Proficient in generative AI and large language models (LLMs), utilizing Hugging Face Transformers and OpenAI GPT to create conversational agents and text generation applications. Expertise in fine-tuning LLMs, applying transfer learning, and leveraging reinforcement learning to optimize model performance.
  • Specializes in transitioning mission-critical systems to AWS, achieving cost efficiency, accelerating time-to-market, and enhancing cybersecurity.
  • Holds extensive expertise in credit card systems, including core processing, meticulous financial ledger management (reconciliation and reporting), oversight of rewards programs and loyalty points, robust authorization protocols for transaction security, automated generation of statements and correspondence, and strategic customer acquisition techniques, alongside meticulous settlement processes involving transactional clearing and fund disbursement.
  • Recognized as a technical authority and thought leader, committed to upholding data security and integrity while driving innovation and continuous advancement in data engineering practices.
  • Delivered presentations on cutting-edge technological advancements such as Prominent Serverless Architecture patterns, Efficient Caching methodologies for cloud computing, Event Driven Data Mesh Architecture, Ontology Engineering using Knowledge Graphs in both internal and external Conferences.
  • Dedicated to continuous learning and staying updated with advancements in AI and cloud computing.