Jatin Kumar

About Jatin Kumar

I am a Data and AI engineering leader passionate about designing and scaling high-performance, resilient, and real-time data platforms. With deep expertise in big data, machine learning, MLOps, and cloud infrastructure, I thrive on solving complex data challenges and driving AI innovation. My work has enabled real-time insights, automation, and cost optimizations at scale, benefiting business operations and decision-making.

Experience

1. Engineering Leadership Data & Ai Scaling Ml Platforms, Real-time Data Products & Genai

   Careem

   Jul 2022 — Present · Dubai, AE

   Data Experience Highlights1. As part Architecture Review Board devised a Careem level services disaster recovery plan. Enhanceddisaster recovery, eliminating single points of failure and re-architecting multi-tenant deployments.2. Reduced MTTA/R as On-Call Incident commander for Careem across Middle east. Mentored senior engineers to refine their strong skills while addressing growth area3. Created Real-Time Metrics Platform: Enabled live demand and supply monitoring to optimize Careem Transport’s operations.4. Built & Maintained Kafka Platform: Managed Kafka for four years with zero downtime, then successfully transitioned ownership to the infrastructure team, leveraging deep Kafka internals expertise.Machine Learning Experience:1. Cross-Functional Collaboration: Partnered with product, engineering, and analytics teams to define ML project goals, roadmaps, and success metrics, ensuring smooth integration into production environments.2. MLOps Best Practices: Designed and implemented robust pipelines for model deployment, monitoring, and automation. Collaborated with AWS service teams to optimize SageMaker for governance, cost efficiency, and scalability.3. Feature Store Development: Created a centralized feature store to accelerate model training and streamline data access for data scientists.Generative AI:1. Text-to-SQL Framework: Built a Generative AI-powered solution that converts natural language queries into SQL, boosting analysts’ productivity by 40%.2.AI-Driven Customer Care Automation Platform: Automated resolution for 35–45% of incoming tickets, reducing manual workload, Reduced average response time by 50%+, Lowered operational support costs by ~25% without impacting CSAT.3. AI Conversational Discovery Platform: Reduced search latency by 30%, improving session completion rates, Increased recommendation relevance leading to 15–20% higher engagement on suggested results,Reduced drop-offs during discovery flow by ~18% through conversational UX.

Education

• Ymca university of science and technology

  B.tech, Information Technology

  2008 — 2012

• XLRI Jamshedpur

  Master's degree, Buisness Management

  2016 — 2017

Skills

• Oracle Warehouse Builder
• Sql
• Business Intelligence
• Hive
• Oozie
• Flume
• Sqoop
• Teradata
• Data Warehousing
• Pl/Sql
• Requirements Gathering
• Extract, Transform, Load (Etl)
• Apache Kafka
• Informatica
• Hadoop
• Amazon Web Services (Aws)
• Obiee
• Microsoft Excel
• Oracle
• Requirements Analysis
• Shell Scripting
• Unix
• Oracle Database
• Bi Publisher
• Hbase
• Apache Spark