Anand Chiddarwar Email & Phone Number

Bengaluru, Ka, In

San Mateo, California, Us

As Principal Architect for the Neo Platform Analytics team, I lead a team of 80+ engineers across Data Platform, Business Intelligence, and AI/ML domains to build scalable, next-generation analytics infrastructure that drives Freshworks' growth.* Analytics 2.0: Spearheading the redesign of our analytics platform to meet rapidly increasing demand, scaling from 12M to 100M+ queries/day and delivering faster, high-impact insights for customers.* Data Platform Modernization: Transitioned from traditional data warehouses to flexible, high-speed data lakes, enhancing data accessibility and near real-time analytics. Ensuring moving from traditional Python processing to Spark Streaming processing.* Visualization Microservices Transformation: Migrated from monolithic systems to a microservices architecture, achieving a modular, scalable, and resilient platform for Java Based backend and react based frontend services.* Cost Efficiency: Reduced annual TCO by 30%, from $10M to $7M, through optimized processes and cloud cost management, notable ensuring rightsized Warehouse Infrastructure, plugging leaky buckets across infra.Freddy Insights - Business Insights @ Scale* Developed an AI-powered, fully asynchronous platform that transforms data into actionable business insights within minutes instead of hours, reducing processing time by 40% and costs by 30% compared to traditional synchronous systems.* Integrated end-to-end traceability, observability, GDPR compliance, and AI data safety for secure, reliable insights at scale.Architectural LeadershipFounded an Architecture Forum with 10+ architects to drive a cohesive 3-5 year roadmap, facilitating technical alignment and knowledge-sharing for the team and acting as a force to drive the innovation and success.

Berlin, Berlin, De

• Leading Data Platform architectural journey transformation with emphasis on - Reducing the time from data to business insights by 20%. - Enabling simpler and cost effective scalable solutions to support time critical operations - Building and providing comprehensive solution at all levels with business and technical counterparts • Setting up the best practices for the data teams.• Driving privacy, governance and compliance initiatives for holistic data protection.• Leading the redesign of Kafka system to achieve effective quota utilisation, access control, governance and infra redundancy; also provisioning real time processing systems with Databricks.• Lead project to reduce AWS cloud costs by 35% in 2022.

Bangalore, Karnataka, In

• Architect for system upgrade design comprising of data lake and data warehouse solution with migration of legacy Walmart Pharmacy, Optical business from on-premises to cloud.• Design and architecture of Big Data Processing Platform involving batch and real-time data systems; while ensuring HIPAA and PII Compliance.• Leading 30+ members across 6 programs ensuring risk mitigation, dependency analysis, architectural solutions, qualitative readiness and production deployments.

Suwon-Si, Gyeonggi-Do, Kr

Design and Lead Architect for Big Data Analytics Pipelines for IoT Data – Commercialised Tools: AWS, Apache Spark, PySpark, Python, Scala, SQL, DB’s – Mongo, Arango, MySQL Description: • The solution impacted 80 M+ users and 200 M+ IoT Appliances and processed Peta-Bytes of data per day.• Formulated the business problem aka understood the business needs, analysed gap in available data and defined the goal.• Led design and architecture of Big Data Processing Pipeline involving batch and real-time data in the IoT Domain analysing user behavioural patterns and deriving key customer insights.• Drove end to end data processing framework and architecture for right from exploratory data analysis, data wrangling, data preparation, modelling, cloud tool selection, security principles, GDPR compliance till cost effective AWS production deployment.• Extended techniques for sequence mining, user classification, group clustering (graph based) to suit petabyte scale of data using Scala Spark.

Suwon-Si, Gyeonggi-Do, Kr

Design and Architecture for Big Data Analytics System on IoT Data* Handling data from millions of users, devices and deriving value from data.* Design and architecture of Big Data Processing Pipeline involving batch and real-time data processing.* Decision making and risk assessment from exploratory data analysis, data wrangling, data preparation, modeling to production deployment.* Understanding users and their behavioral patterns have been the primary focus.

Suwon-Si, Gyeonggi-Do, Kr

Network and traffic-aware adaptive wireless networks.* Developed solutions to dynamically adapt the WiFi and Bluetooth connection frequency in use by reducing interference and improving bandwidth utilisation (~50%) across different techniques like BT, BLE, Wi-Fi.* I also developed protocols for the device to device communications over BLE and WiFi in a proprietary way.* Applied knowledge from Wireless and Data domains to design and release traffic aware wireless connection adoption algorithm.

Suwon-Si, Gyeonggi-Do, Kr

Resource Aware Dynamic Routing Networks* MAC layer based routing for increasing the WiFi spectrum utilization for multi-hop speaker music system over Wi-Fi.* Traffic aware solution scaling up to 10 devices from the start of a multi-hop network; ensuring minimum guaranteed network bandwidth.* Overcoming driver and kernel-level restrictions to improve system performance.

Espoo, Southern Finland, Fi

Development of High-Speed Uplink Solutions for 3G Networks* Worked on the 3GPP entity of RNC( Radio Network Controller) in WCMDA networks.* Developed and delivered High-Speed data layer uplink packet access solution * Optimised infrastructure utilisation of software service and created utility to measure memory usage, leakage and performance impacts.

Chicago, Il, Us

LTE - Mobility Management Entity* Developed software and testing framework for MME the heart of LTE aka 4G Networks.* Managed end to end release of the software to customers such NTT docomo.* Dynamic bearer allocation and multiple-APN based features development and process testing.* I gained extensive knowledge of X2, HSS, S1AP, and relevant 3GG specifications for LTE.

M.Tech, Digital Systems

B.E., Electronics And Telecommunications

Hssc, Electronics

Ssc, Mathematics And Science