Aniket Sharma

Leading a 75+ member org across Data, Analytics, and AI, building the next-generation Analytics & AI platforms powering intelligence and insights across all Freshworks products. - Launched Freddy AI Insights across Freshdesk & Freshservice, enabling actionable outcomes from data. 2000+ customers enabled; patent filed with USPTO. - Scaled the Analytics Platform from 1.83M Queries per day (Jan 2023) to 16M Queries Per Day (Aug 2025) while reducing the overall cost per million queries from $3k (Jan 2023) to $1.1k (Aug 2025) - Modernized a data warehouse-based solution to a data lakehouse-based solution (with Databricks Delta Lake and e6data), leading to a 30% decrease in infra costs over 3 years - Supporting a scale of 27 PB of data processed per day with a growth rate of ~200% YoY while maintaining an end-to-end P95 <5s - Accelerated frontend development by 80% using an AI-driven workflow with Cursor, Figma MCP, and Playwright MCP, while maintaining high test and accessibility coverage. Additionally, internal design system MCP delivered ~30% faster component development (saving ~2.5 weeks) and ~10–12% higher quality, with scalable adoption across teams for consistent, accessible UI delivery. - Partnered with C-suite, Product, GTM, and Finance functions to align roadmap with revenue priorities - Partnered with HR and Talent Acquisition teams for Talent Management and Performance Management initiatives

Leading a 50+ member engineering team to build an AI-powered Neo Analytics Platform. - Modernized legacy data pipelines built in Ruby on Rails to a modernized Apache Spark based data pipelines leading to $1.1 million in annual cost savings with improved performance, reliability and maintainability. - Scaled teams and processes to improve the release predictability - say-do ratio consistently above >80% - Streamlined customer support operations to improve SLAs from 70% to 85% through the use of bots built over AWS Bedrock. - Introduced Amazon Q and Cursor in developer workflows to improve cycle time by 30% - Maintained 99.9% platform availability with MTTD of <5 mins and MTTR <30 mins across - Migrated legacy analytics infra across Freshdesk and Freshservice to Analytics and AI Platform - Partnered with C-suite, Product, GTM, and Finance functions to align roadmap with revenue priorities - Partnered with HR and Talent Acquisition teams for Talent Management and Performance Management initiatives Leading a 55+ member engineering team to build a Unified Communications Platform - For real-time sockets, delivering ~50B messages per month with ~12% YoY Growth - For push notifications and mobile notifications, fanning out to ~1.78B notifications per month with ~13% YoY Growth - For Email Platform, supporting a scale of 700M emails delivered per month with 7% YoY Growth. Spam signups blocked per month scaled to 30k with 50% YoY Growth. - Maintained 99.95% platform availability with MTTD of <5 mins and MTTR <15 mins

Leading a 40+ member engineering team - Responsible for cross-product channels and collaboration platform (Slack, MS Teams, WhatsApp, Twitter, Google Business Messages, Apple Business Chat, Twilio, SMS integrations), Email Platform (Outbound, Inbound, AntiSpam) - Re-architected a customer-facing product called FreshConnect into a unified channels and collaboration platform to support a multi-product strategy. - Driving Freshdesk, Freshmarketer and Freshsales customer interaction through WhatsApp, LINE, Apple Business Chat, Google Business Messages.

Leading a 20+ member engineering team to build and scale FreshConnect - A product which enables Collaboration across Freshworks and beyond

Currently leading a team which develops and maintains Realtime Multichannel Notifications Service across all Freshworks products. The service is entirely written in NodeJS and delivers ~300 million notifications per month across different channels viz. web, iOS and Android devices. The effort encompasses various sub-tasks: - Developing and testing new features - Troubleshooting issues - Writing Chef recipes (for deployments on AWS) - Instantiate and maintain AWS Opsworks stacks across multiple regions - Instantiate and maintain AWS RDS (MySQL) across multiple regions - Instantiate and maintain AWS Elasticache (Redis) across multiple regions - Instantiate and maintain AWS Cloudwatch Logs and AWS S3 Buckets across multiple regions - Instantiate AWS Security Groups, AWS VPCs, AWS ALBs for interfacing across multiple regions - Instantiate and maintain Telegraf-InfluxDB-Grafana for detailed monitoring across multiple regions - Vanilla Javascript and EmberJS knowledge to test and sample notifications - Deep knowledge of Apache Kafka to develop, debug and scale various Kafka Consumers (NodeJS Consumers) - Ruby On Rails knowledge to liaise with multiple products Also leading an initiative to write a rule-engine in Golang. The rule-engine is further deployed using Docker on AWS Fargate. Developed a dashboard to manage services which is again written in Golang. The dashboard is hosted using Docker on AWS Fargate.

-Android Development (Java) -HeyMojo (Shuttle Service) Development -Backbone.js -AngularJS -Express.js (Node.js framework) Developed the Android app for the Framebench product from scratch. Involved in the support and maintenance of the Framebench web app. Involved in developing from scratch - Hey Mojo - which was a shuttle service mobile app based build upon Parse (now : http://parseplatform.org/)

Apptimator Pro - Xamarin Android: Designed and implemented an Android App using Xamarin.Android(C#). The app is available on PlayStore. (Full Ownership of all components involved). The Project consists of various components viz. Xamarin.Android, Windows Azure Mobile Services( NodeJS), PDF Parser (ASP.NET MVC), Server Portal (SPA using Durandal JS/Bootstrap/Knockout). The Android App displays various functionalities such as syncing data to and from the server, use of Android Intents for Photos/Camera etc., setting up Meetings in one’s Calendar, importing various file types, custom Notes application with an added advantage of attaching audio notes and push notifications using GCM. The Windows Azure Mobile Services provides the entire back-end for the android application and all the other components involved. The PDF parser parses the fields present in the PDF and uses Windows Azure Mobile Services to insert data. Server Portal provides a visual representation of the data present in the databases in an organised manner. Windows Azure Table Storage is used for logging purposes. Developed a Support Dashboard component for amptjer project using ASP.NET MVC, Windows Azure Table Storage, jQuery DataTables and Bootstrap 3. This Support Dashboard displays the Logging (Warnings/Errors etc) information in an organised manner. Provided support and maintenance as well as implemented new features for the organisation’s website www.appliedis.com. The website is based on Orchard CMS which is a Content Management System based on ASP.NET MVC. Designed and Implemented the initial structure for the internal employee portal. Implemented various features such as User Profiles and TimeSheets. The project is based on ASP.NET MVC, Windows Azure SQL, jQuery DataTables, Bootstrap.

Patent Research and Analysis.

Project on GSM Network Optimisation Acquired operational knowledge of Bharti Airtel Limited.