Abhinav Bhardwaj

• Leading a team of 10 engineers to develop Copilot Extensions, enabling third-party applications to provide context to LLMs. Integrated with platforms such as Perplexity, Stack Overflow, and other software engineering tools to enhance AI-assisted development.
• Led the development of a Copilot Agent capable of autonomously handling and resolving issues asynchronously, functioning as a junior engineer to streamline workflows and improve efficiency.

Technical Leadership & Delivery Excellence

• Led a cross-functional team of 8 SDEs in the end-to-end delivery of two Alexa conversational AI experiences—'Product Questions and Answers' (PQA) and 'Where's My Stuff' (OrderQA)—integrating Alexa LLM with Rufus LLM to enhance Amazon's shopping experience, reduce Multi Turn Error Rate (MTER) by 20%, and enhance service responsiveness.
• Led the launch of the "Your Deals" card on Alexa Show devices, reaching 19 million global users, achieving 890K monthly engagements, and generating 87.8 billion impressions.
• Led a team of 7 engineers in a 2024 strategic initiative to integrate Generative AI into Alexa’s on-demand deals experience, transitioning from traditional NLU to LLM-powered intent routing and inferencing, which enhanced routing efficiency and achieved a 90% Invocation Accuracy target.

Program Leadership & Stakeholder Management

• Conducted weekly program reviews, providing detailed risk assessments, facilitating simplification efforts, and outlining actionable paths to resolution for leadership.
• Coordinated with Alexa's science, product, and engineering teams to develop APIs, generate exemplar data, and enable LLM integration for P0 delivery of deals experiences.
• Defined the strategic charter and OP1 goals for on-demand deals experiences through close collaboration with product management, senior engineering leaders, and cross-functional stakeholders.

Customer Experience Optimization & Operational Excellence

• Delivered on a critical S-Team goal, reducing the Deals Multi-Turn Error Rate (MTER) from 5.4% to 2.3% - 57% improvement in customer experience quality.
• Updated a five-year-old legacy infrastructure by integrating CI/CD pipelines, decreasing change control approvals by 37 MCMs and reducing deployment times from one week to 15 minutes.

Team Leadership & Talent Development

• Scaled a high-performing engineering team from 3 to 9 SDEs to meet rapidly growing business needs for AI-powered on-demand deals experiences.
• Earned managerial ratings of 98% for leadership skills and 90% for adherence to Amazon's Leadership Principles through effective people management.
• Led full-cycle recruiting efforts, hiring 5 full-time SDEs based on demonstrated technical excellence.
• Implemented structured performance management processes to enhance coaching, development, and growth opportunities, maximizing team potential.

Key Skills

• Product Prioritization, Project Planning, Team Building, Delivery Risk Management, Operational Excellence, Enabling Simplifiers, Mentoring, Performance Evaluation, CI/CD.

Personalized Customer Experience & Revenue Optimization

• Led the design and implementation of personalized on-demand Deals features, utilizing customer signals like cart contents, saved items, browsing history, and lists to enhance relevance, resulting in a 1072 basis point year-over-year increase in Purchase Attribution Rate (PAR) through more engaging deal recommendations.

Cost Optimization & Operational Efficiency

• Architected and implemented a cost-saving deal validation system by transitioning from Amazon's API to a DynamoDB-based precompute approach, achieving annual savings of $230,000 and a 92% reduction in infrastructure and maintenance costs year-over-year.

Incident Management & Service Reliability

• Led the enhancement of ticketing mechanisms for Alexa's Deals platform by implementing the Ticket Jail Strategy and SmartTTBot for intelligent ticket routing and prioritization, which proactively detected and resolved issues, maintaining system health and uptime. This approach led to a 183.33% improvement in the deals incoming ticket score, increasing from 30 to 85.

Key Skills

• Java, AWS Services, Project Disambiguation and Delegation, Operations Management (OE Backlog Grooming), Ticketing Monitoring, Service Monitoring, Peak Scaling, Devops, CI/CD, Agile, Scrum Master.

Scalable Data Infrastructure & Operational Excellence

• Led the design and implementation of a scalable Elasticsearch data store for a critical retail brand normalization service, supporting over 100 seller central teams; transitioned from a single-box Lucene solution to a distributed Elasticsearch cluster, ensuring 100% uptime and over 99% availability while reducing operational overhead.
• Enhanced system scalability and resilience by eliminating single points of failure, significantly reducing operational tickets from 121 to 1 year-over-year, and established ongoing processes for updates and maintenance across 12 global marketplaces.

Speech Recognition Enhancements & Model Optimization

• Led a strategic initiative to standardize tokenizer usage across Alexa's speech recognition models, reducing the Word Error Rate (WERR) by 8.33% through comprehensive evaluations and replacing outdated tokenizers with optimized alternatives.
• Developed a benchmarking framework to continuously assess tokenizer performance and coordinated the deployment of updates across 12 global marketplaces, establishing processes for sustained accuracy and maintenance.

Key Skills

• Java, Python, Scala, SQL, Git, CI/CD, Linux, API building (REST), Spark/Map-Reduce/EMR, AWS Services (ElasticSearch, DynamoDB, Redshift, S3, Lambda, SQS, SNS, IAM, Neptune, Kinesis, EC2, API Gateway).