Priyesh Raj

• Lead team of 2 Tech Leads, 6 Backend Engineers, and 3 Data Engineers across 3 Product Groups (CRM and Apps)
• Collaborated with Product Managers and designers to define product goals and influence decisions
• Set up processes around release management to achieve 100% continuous deployment
• Defined processes for development cycles and code reviews with 0 escaped defects
• Defined Engineer's KPIs, and introduced quarterly and half-yearly feedback systems for continuous improvement, resulting in 3 of reports getting back-to-back awards
• Architect of major backend systems like Wallet, Payments, and Promotions to handle real-time settlements with < 0.5% downtime
• Architect of Data pipelines in Airflow to handle data movement from source to sink with 100% accurate data for T-1
• Guided QA Automation Engineers and achieved test automation coverage to increase from 10% to 80%
• Executed migration of data pipelines and platforms from Google Cloud to AWS with 40% reduction in cost
• Achieved 100% Code and Product feature Documentation by setting up processes around design reviews.

MLeAP is Artificially Intelligent Legal Research and Case management platform

• SaaS offering for lawyers and college community, supporting End-to-End Case Management, Research, and Billing
• Founded company, wrote the initial ML models and backend system, and scaled the company with more than 10+ team members, 500+ users, 60L annual revenue, and 75L of funding
• Severely impacted during Covid.
• Managed team of 3 Engineers and 2 Data Scientists
• Executed multiple projects for clients across the globe
• Automated trading system for a Client in Switzerland
• E-learning system for a client in Australia
• Web application for a client in the Americas
• AI-Based automated docking system (protein simulations) for a client at the University of Arizona.
• Created organization's mission and vision statements for use by employees

• Led the company's 5 people Engineering team in their effort to migrate from a Monolith to a Microservice architecture for their carpooling application
• Reduce downtime of their services to < 1% and achieve near unparalleled scale using cloud.
• Coordinated third-party vendors and client IT teams to seamlessly deliver effective solutions
• Managed company-level architecture, platform and data configuration processes and implementation protocols
• Designed enterprise-level technological blueprints and system architectures

• Part of a team responsible for developing in-house data analytics platform using Greenplum, Hadoop, and MapReduce ecosystem
• Hive UDAFs for various requirements including logic for probabilistic aggregation over streaming data set
• Implemented priority queue runner to improve cluster resource utilization.
• Integrated real-time streaming technologies for accurate monitoring of critical business metrics
• Designed scalable ETL pipelines for improved data ingestion, processing, and storage
• Contributed significantly towards organizational cost savings by optimizing storage and data processing resources in the cloud environment

• Part of a team responsible for developing a penetration testing platform
• Achieved 99% code coverage with automation of kernel part of the product
• Worked with clients across the world to test malware and systems developed as part of the product.
• Saved time and resources by identifying and fixing bugs before product deployment
• .Mentored junior developers to improve their technical skills, fostering a culture of continuous learning within the team