Tushar Tanna
Sr Director Software Engineering @O'Reilly Auto Parts
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WORK HISTORY
Sr Director Software Engineering @O'Reilly Auto Parts
Leadership of Global, Distributed Engineering Teams: Direct a global agile organization of 80+ engineers (scaling to 100+), driving the development of highly scalable, microservice-based, event-driven architecture on Google Cloud Platform (GCP).• Ecommerce & Omni-Channel Platform Strategy: Owned the cloud migration and technology modernization strategy for mission-critical Pricing, Promotions, Merchandising and Catalog systems and services, directly impacting the profitability of omni-channel Ecommerce (B2B and B2C) business lines.• AI/ML for Customer Experience: Implementing an innovative, AI-powered search solution for vehicle user manuals, leveraging Gen AI technologies (Gemini Pro 3.0, RAG, vector search, Langchain) to significantly enhance the online customer experience and self-service capabilities.• High-Value Business Solutions: Led the development and implementation of a dynamic pricing solution utilizing Spring Boot, Kubernetes (GKE), Java, and Kafka on GCP, delivering over $10 million in documented business benefits through automated, data-driven pricing strategies.• Advanced Data Engineering & Analytics: Architected end-to-end data engineering solutions using GCP Dataflow, BigQuery, and Python to enable real-time promotional analytics and location-level optimization, providing critical input for customer-facing offers.• Driving Engineering Innovation (Gen AI): Led forward-looking technical evaluations (POCs) of cutting-edge Gen AI tools (Gemini Code Assist, GitHub Copilot, Cursor) and LLMs (Gemini Pro, Claude AI Sonnet, GPT) to enhance developer productivity and accelerate AI integration across the product portfolio.
EDUCATION
Saurashtra University
Bachelor of Engineering (B.E.), Electrical, Electronics and Communications Engineering
SKILLS
ABOUT TUSHAR TANNA
Software Engineering Executive | Cloud and Digital Transformation | AI/ML Platform & Data Products| Gen AI adoption and rolloutI build and scale engineering organizations that deliver measurable business outcomes through cloud modernization, AI/ML innovation, and Gen AI adoption and roll out at enterprise scale.BUSINESS IMPACT DELIVERED- Led cloud migrations from legacy infrastructure to AWS/GCP microservices, reducing TCO by over 25% and enabling 4-5x scalability- Delivered $50M+ incremental revenue at Wayfair through AI/ML personalization platform and advanced customer segmentation- Architected unified Product Master System eliminating legacy systems, accelerating enterprise digital transformation by 18+ months- Pioneering GenAI code assist tool like Copilot and Cursor at O\'Reilly Auto Parts- Building enterprise scale roll out of Gen AI applications for intelligent search, and customer engagement - Transformed 100% batch ETL processes to real-time event-driven architecture supporting AI/ML workloads- Scaled distributed engineering teams across multiple geographies with focus on innovation and autonomous executionCORE EXPERTISE:TRANSFORMATION LEADERSHIP:Led enterprise cloud migrations, AI/ML platforms, and legacy modernization delivering $70M+ business impact. Managed 150+ distributed engineers across multi-year transformation programs reducing TCO 30-50% while enabling 4-5x scalability.CLOUD ARCHITECTURE & PLATFORM ENGINEERING- AWS: Bedrock (GenAI), SageMaker, Lambda, Step Functions, EventBridge, MSK, Aurora Serverless, Glue DataBrew, Redshift Serverless, EKS- GCP: Vertex AI, BigQuery, Dataflow, Cloud Run, Dataform, Pub/Sub, Cloud Composer, AlloyDB, GKE Autopilot- Architecture: Event-Driven (CQRS), Serverless, Microservices, API Gateway, Infrastructure as Code (Terraform, Kubernetes)AI/ML & GENAI PLATFORMS:Built production MLOps infrastructure and GenAI solutions (LLMs, RAG, vector databases) driving personalization, recommendations, and intelligent decisioning. Expertise: AWS SageMaker, GCP Vertex AI, LangChain, Gemini, GPT and Claude LLMs.DATA ENGINEERING & REAL-TIME SYSTEMS:Architected Lakehouse platforms, real-time streaming (Kafka, Pub/Sub), and Big Data pipelines (Spark, Hadoop) processing billions of records with enterprise governance frameworks.ENGINEERING LEADERSHIP:Scaled global teams (US/India/offshore), drove organizational change, P&L ownership, and C-suite partnerships. Built innovation culture through hackathons, OKR-driven execution, and Agile/Scrum practices.
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