--- title: "Mandar Kulkarni - Staff Software Engineer in Bengaluru | Tal" description: "Meet Mandar Kulkarni, Staff SWE@ Intuit | ex-AWS | Building Resilient FinTech & Cloud Architectures at Scale based in Bengaluru. AI stack includes claude code, cursor, and langchain." image: "https://tal.club/meet/mandar-kulkarni/share-image" --- # Mandar Kulkarni on Tal ## Headline Staff SWE@ Intuit \| ex\-AWS \| Building Resilient FinTech & Cloud Architectures at Scale ## About I am a Staff Software Engineer building the systems and platforms that power modern AI infrastructure—from high\-performance GPU clusters to autonomous developer agents\. At Intuit, I build the infrastructure that allows AI coding agents to safely interact with production systems\. My work spans maintaining internal MCP servers that grant agents organization\-wide visibility and execution capabilities, to building LangGraph\-driven workflows that convert natural\-language requests into verified, human\-approved infrastructure changes backed by distributed checkpointing and multi\-judge evals\. Previously at AWS SageMaker, I focused on high\-scale distributed training infrastructure for SageMaker HyperPod—notably architecting tiered checkpointing systems capable of saving state across 15,000\+ GPUs in seconds, alongside zero\-downtime software update orchestration for massive clusters\. ## Location Bengaluru ## AI stack claude code cursor langchain langfuse langgraph mcp ## Work experience Staff Software Engineer at Intuit, Mar 2026 \- Present · 7 mos, Bengaluru, Karnataka, India Software Development Engineer II at Amazon Web Services \(AWS\), Oct 2024 \- Apr 2026 · 1 yr 7 mos, Bengaluru, Karnataka, India, SageMaker HyperPod Tiered Checkpointing \- Lead Engineer \- Led the SageMaker HyperPod’s managed tiered checkpointing feature, optimizing checkpoint storage with CPU memory instead of traditional GPU memory for faster model training, data replication, and recovery through robust system design with seamless integration for PyTorch applications\. \- Led junior team members in implementing API and workflow updates for Cluster CRUD operations\. \- Primary contributor to the open\-source PyPi library for Pytorch job integration: amzn\-sagemaker\-checkpointing \- https://pypi\.org/project/amzn\-sagemaker\-checkpointing/ SageMaker HyperPod Scheduled AMI Upgrades \- Lead Engineer \- Designed customer experience and EventBridge driven backend systems enabling customers to schedule AMI upgrades, avoid job disruptions, and enforce security\. \- Led junior engineer in designing a notification system for scheduled AMI upgrades\. \- Implemented API and workflows integrating with EventBridge scheduler and DDB tables\. \- Reduced operational burden for the team by 90%, making SageMaker internal systems automatically compliant and reducing on\-call churn\. Software Development Engineer II at Amazon Web Services \(AWS\), Jul 2022 \- Apr 2026 · 3 yrs 10 mos, Vancouver, British Columbia, Canada Software Development Engineer I at Amazon Web Services \(AWS\), Jun 2019 \- Jul 2022 · 3 yrs 2 mos, Greater Seattle Area Graduate Research Assistant at REACT Lab Arizona State University, May 2018 \- May 2019 · 1 yr 1 mo, Greater Phoenix Area, 1\. Working on Indoor Robot Localization using WiFi in the REACT Lab at ASU\. 2\. Developing algorithms to use Channel State Information obtained from the CSI toolbox custom made for Intel 5300 WiFi card\. 3\. Used A\* simulation to find shortest path in a given real life scenario\. 4\. Used iRobot Roomba research platform for multi robot SLAM and localization using WiFi\. 5\. Working on iRobot way point control using ROS for Roomba platform and developing WiFi sensing mechanism\. 6\. Working on using Machine Learning algorithms to improve robot mapping using WiFi signals\. https://gil\.engineering\.asu\.edu/react\-lab\-members/ IOT Developer at UTO Arizona State University, May 2018 \- May 2019 · 1 yr 1 mo, 1\. Working on development of Smart Golf Carts using LoRa networks\. 2\. Prototyping LoRa node\-gateway setups with different hardware like Dragino, Seeed and Arduino to effectively communicate over long distances\. 3\. Using AWS Lambda functions and API Gateways to create a bridge from the LoRa gateway to AWS\. 4\. Working on AWS Rekognition to create a software which matches faces from a live camera feed with a celebrity database present in DynamoDB\. 5\. Developing AWS Rekognition based algorithm to understand emotions on a face from live camera feed and triggering events on a Web Dashboard by generating web sockets\. 6\. The sockets are hosted on AWS EC2 instances for smoother data transfer\. Graduate Engineering Trainee at Mercedes\-Benz Research and Development India, Jul 2016 \- May 2017 · 11 mos, Bangalore, My responsibilities included: 1\. Hardware\-In\-Loop testing of Advanced Driver Assistance features, specifically Automatic Cruise Control feature in Mercedes\-Benz cars\. 2\. Understanding the system requirements to design test cases for execution on the Hardware test bench\. 3\. Test scripting in python & XML and design of test automation framework in Python\. 4\. Validation and signal analysis for test results of HiL testing for new ADAS features\. 5\. Worked on approximately 150 test cases to simulate real time situations and test the Cruise Control Software in the Mercedes\-Benz S Class vehicle\. 6\. Tools & Softwares : DOORS, Time Partition Testing\(TPT\), Vires ROD\(Road Designer\)\. 7\. Worked on Designing a Neural Network algorithm to increase the automation efficiency of the testing\. Achievements : 1\. Part of the team which was awarded 2nd prize for development of 'Autonomous Vehicle Simulation' contest held for trainees\. 2\. Part of the team which was awarded 2nd prize for development of 'Electric Vehicle Simulation' contest held for trainees\. ## Education Master's degree, Computer Engineering, Ira A\. Fulton Schools of Engineering at Arizona State University Bachelor’s Degree, Electronics and Communications Engineering, Maharashtra Institute of Technology [View the original profile](https://tal.club/meet/mandar-kulkarni) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/mandar-kulkarni#person", "name": "Mandar Kulkarni", "url": "https://tal.club/meet/mandar-kulkarni", "image": "https://tal.club/meet/mandar-kulkarni/profile-photo.jpg", "description": "Meet Mandar Kulkarni, Staff SWE@ Intuit | ex-AWS | Building Resilient FinTech & Cloud Architectures at Scale based in Bengaluru. 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