Anand Jain

Director of Engineering

Bengaluru, Karnataka, India19 yrs 7 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Led engineering teams to scale platforms from 0 to internet-scale.
Architected high-throughput distributed systems for major user engagement.
Innovated catalog solutions improving processing by 40%.

Stackforce AI infers this person is a SaaS Engineering Leader with expertise in distributed systems and cloud solutions.

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Skills

Core Skills

Engineering LeadershipDistributed SystemsUser GrowthMachine LearningProduct DevelopmentCloud EngineeringInnovationEngineering ManagementScalabilitySaas Engineering

Other Skills

AI/MLAJAXAWS ServicesAgile MethodologiesAgilityC++Cloud SolutionsContent ManagementDesign PatternsIntegrationJSPJavaJava Enterprise EditionJavaScriptMapReduce

About

Seasoned engineering leader with extensive experience across startups and global enterprises, scaling platforms from 0→1 to internet-scale. Proven track record in architecting high-throughput, distributed systems and driving innovation from product ideation to rollout. Currently Director of Engineering at Meesho, leading critical user growth, content, and platforms across millions of users leading 100+ tech team Technology Strategy & Architecture - Led the end-to-end development of the Reels product through multiple pivots—from rapid experimentation to scaled rollout—now a major engagement driver. - Own the entire PN/Comms Platform charter: built and scaled in-house PN infra, supported 6B+ messages/day, and owned all comms metrics. - Owned and scaled distributed systems, including the Offers Platform serving org-wide high-throughput workflows. - Delivered performance and cost optimizations through migrations: Bigtable → ScyllaDB, Redis → Dragonfly, Java → Go. - Designed and deployed real-time ranking workflows for Reels using in-house ML infrastructure; scaled from 0→1. - Built a personalized messaging engine using Kafka and Databricks pipelines; scaled to 6B+ daily messages with high resilience. - Led migration from Java serialization to Protocol Buffers; managed Flink/Kafka pipelines to reduce latency and payloads. - Extensive experience in SaaS, HDFS, SolrCloud, SQL/HANA, Cassandra, Kafka, Storm, and full-stack cloud-secure architecture.

Experience

Meesho

Director Of Engineering

Feb 2022 – Present · 4 yrs 1 mo · Bangalore Urban, Karnataka, India

Spearheading a 70+ member engineering organization comprising Engineering Managers (EMs), Senior EMs, and Architects. Working closely with the GM of the org to deliver high-impact technology and growth outcomes across core user and growth charters.
User Growth (Acquisition → Resurrection)
Own the complete user lifecycle across acquisition, activation, retention, and resurrection. Also co owing the DAU and AO metrics for the entire org.
Architected and launched a 0→1 user activation ranking engine, achieving a 10x uplift in activation through real-time personalization and ML-driven prioritization.
Streamlined address input workflows using AI/ML-backed suggestions and NLP-based error handling, improving form completion and checkout rates.
Content Commerce (0→1 Charter)
Led the Reels product from inception—navigated multiple product pivots, evolving from quick experimentation to a robust, production-grade system now central to user engagement.
Built and scaled affiliate flows and monetization frameworks, integrating with partner ecosystems and driving incremental revenue.
Grocery & iOS Platform
Contributed to multiple product and tech pivots in the Grocery vertical, aligning engineering efforts with dynamic business strategies.
Leading the central iOS engineering charter, driving ~5% of NMV—standardizing architectural best practices, modularizing codebases, and improving release velocity.

User GrowthReal-time PersonalizationMachine LearningDistributed SystemsMessaging InfrastructureAI/ML+2

Sap ariba

Director Of Engineering

Jul 2016 – Feb 2022 · 5 yrs 7 mos · Bengaluru, Karnataka, India

Ariba - SAP acquired entity - is a cloud based procurement solution. Ariba Catalog solutions is the catalog solutions catering to more than 50% of the top 100 companies having 4+ billion items in its index. https://www.ariba.com/solutions/solutions-overview/procurement/catalog
● Innovation - Innovating the next gen catalog and content processing engine - improved catalog publishing processing by 40% and improved relevance using steaming based frameworks. Designed and developed map reduce based rule engine to support cleansing, validation and enrichment of massive items.
● Scaling - Successfully Scaled the existing content management mapreduce based solution to 10x customer growth , moved from hbase to RDBMS data set, breaking monolith to multiple microservices.
● Passionate Team - Leading and managing a highly engaged 20+ development team and acting as multiplier for the innovators in the team
● Custom Centricity - Supporting the legacy catalog solutions and seamless customers transitioning to next generational solution

Cloud SolutionsMapReduceMicroservicesContent ManagementTeam LeadershipCloud Engineering+1

Swiggy

Engineering Manager

Jun 2015 – Jul 2016 · 1 yr 1 mo

Swiggy is on-demand food delivery platform startup.
Lead and manage the team (portal,payments and backend) to build a complete SOA based architecture at Swiggy. Swiggy extensively uses AWS services such as RDS, EC2 and ElastiCache for on-demand scalability.
Roles and Responsibilities
o Scalability : Lead initiative to improve scalability to handle 10x increase in traffic in 6 months that involved mainly architectural changes like using asynchronous processing and database tuning.
o Agility: Designing and Delivering features at rapid pace in constantly changing environment
o Operational Excellence: Streamline the development, release and support processes.
o Hire and Retain the talents
o Work closely with the third party vendors

SOA ArchitectureAWS ServicesScalabilityAgilityOperational ExcellenceEngineering Management

G t nexus

Engineering Lead

Sep 2006 – Jun 2015 · 8 yrs 9 mos · Bangalore

GT Nexus is a SaaS based logistics startup in the TMS and supply chain domain. Joined the team in the
very nascent stage of India DC setup Lead a 10 member team that engineered a flagship product
‘Shipment Planning’ & ‘Load Planning’ - TMS solution for route/carrier optimisation. Responsible for all
development activities from design, development, deployment and support.
Architecture and develop the new mode agnostic ‘Transport Order’ , ‘Transport Plan’ and ‘Optimizer’
product. ‘Optimizer’ is a python based optimization software built on various metaheuristic algorithms.
Challenges include building scalable and performable products to support huge volumes. More at
https://www.infor.com/products/supply-chain-management/transportation-management
o Architecture and Development the route/cost optimisation algorithm for multi leg shipments
o Architecture design, coordinating development of frameworks in the platform team
o Product Management, challenges involving generalisation and customisation
o Evaluate new trends and technologies especially around scalability and performance issues
o Enhance existing product/technology performance and features