Adarsh Anand — Product Manager

Technical Lead with 8+ years building distributed systems that survive real production load. The common thread across my work: I take vague product asks and ship them as microservices that don’t page you at 2 AM. - At GarageHub (current), I own the end-to-end order lifecycle for a growing auto-parts marketplace, 1K–10K orders/day routed across 20+ warehouses and multiple supplier integrations. I’ve designed and built 4 greenfield services from scratch: Order Management, Inventory Normalization, Product Resolution, and Warehouse Routing. Everything runs on Java, Spring Boot, PostgreSQL, Kafka, Redis, and AWS — with graceful degradation, idempotent processing, and distributed locking baked in. Every service ships with dashboards and alerts on day one. Before this: - At Demandbase, I shipped Gen-AI-powered account-summary microservices that became a headline product feature, rebuilt authentication on OAuth2 + JWT + SCIM + OIDC to unblock enterprise SSO, and scaled intent pipelines on Apache Spark + Airflow. - At Concentric AI, I cut API latency by 60–65% and reduced service-to-service chatter by 35% by redesigning call graphs and data pipelines — and shipped a PII-detection engine that directly unlocked GDPR/CCPA compliance for customers. - At Cisco, I built the Call Analyzer — a real-time Flink + Spark pipeline that diagnoses network/system issues on active calls. Earned Cisco’s internal “Advanced Diagnostics” award. Recognition: Special Innovation Award at Rakathon 2.0 (1 of 102 teams), Runner-Up at Cisco Hackathon 2019, two Cisco internal innovation awards. What I care about: • Systems that fail gracefully, not catastrophically • Schema-first, contract-first API design • Observability that makes incidents boring • Mentoring engineers through code review, design docs, and pairing Dev community : https://dev.to/adahanu074 Hashnode : https://adaanand.hashnode.dev/

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in E-commerce and SaaS platforms.

Location: Bengaluru, Karnataka, India

Experience: 6 yrs 10 mos

Skills

Java
Spring Boot
Python
Apache Spark

Career Highlights

Designed and built multiple microservices for high-load systems.
Achieved significant latency reductions in API performance.
Recognized for innovation and excellence in engineering.

Work Experience

Freelance

Software Engineering Manager (1 yr 5 mos)

Demandbase

Engineering (1 yr 2 mos)

Xformics Inc

Technical Lead Developer (1 yr 3 mos)

Concentric AI

Software Engineer (1 yr 7 mos)

Mozilla

Contributor (1 yr 8 mos)

Cisco

Software Developer (1 yr 5 mos)

Internship (5 mos)

WeSocio

Front End Architect (0 mo)

Internity Foundation

Developer (1 mo)

Rannlab Technologies Pvt. Ltd.

Developer (0 mo)

Education

Student at Kendriya Vidyalaya

Bachelor of Engineering at Vellore Institute of Technology

Adarsh Anand

Product Manager

Bengaluru, Karnataka, India6 yrs 10 mos experience

Key Highlights

Designed and built multiple microservices for high-load systems.
Achieved significant latency reductions in API performance.
Recognized for innovation and excellence in engineering.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in E-commerce and SaaS platforms.

Contact

Skills

Core Skills

JavaSpring BootPythonApache Spark

Other Skills

PostgreSQLKafkaRedisAWSOAuth 2.0Apache AirflowElasticSearchKubernetesTechnical DesignTechnology LeadershipSoftware InfrastructureCSQLMicrosoft OfficeMicrosoft Word

About

Experience

6 yrs 10 mos

Total Experience

1 yr 4 mos

Average Tenure

1 yr 5 mos

Current Experience

Freelance

Software Engineering Manager

Jan 2025 – Present · 1 yr 5 mos

Leading the backend for GarageHub — a growing auto-parts marketplace handling 1K–10K orders/day across 20+ warehouses and multiple supplier integrations. Designed and shipped 4 greenfield microservices end-to-end:
→ Order Management Service — end-to-end order processing, supplier order placement, and fulfillment orchestration. Eliminated manual order handoffs across the supply chain.
→ Inventory Normalization Service — ingests multi-supplier feeds (SFTP, CSV, ZIP), normalizes stock across 20+ warehouses, and publishes real-time inventory events via Kafka. Cut stock-sync lag from hours to under 60 seconds.
→ Product Resolution Pipeline — brand/part-number resolution with in-memory caching, alias mapping, and bulk lookup. Resolves product queries in O(1) and eliminated duplicate SKU errors across suppliers.
→ Warehouse Routing — maps supplier stock columns to internal warehouse IDs, computing optimal fulfillment locations based on stock, distance, and cost. Every service is built with graceful degradation, idempotent processing, ShedLock-based distributed locking, and full structured observability — the platform keeps running when any single dependency fails. Raise the engineering bar: schema design, Flyway migrations, deploy pipelines, and day-one dashboards + alerting are table stakes on every service I own.
Stack: Java · Spring Boot · PostgreSQL · Flyway · Kafka · Redis · AWS S3

JavaSpring BootPostgreSQLKafkaRedisAWS

Demandbase

Engineering

Nov 2023 – Jan 2025 · 1 yr 2 mos · Hyderabad · Remote

Led backend architecture for AI-powered account intelligence used by enterprise B2B sales teams. • Architected and shipped Gen-AI-powered account summary microservices — became a headline platform feature delivering real-time company insights to thousands of customer accounts.
Rebuilt authentication on OAuth 2.0 + JWT + session management — hardened access control across applications and unblocked enterprise SSO deals.
Integrated SCIM and OIDC identity protocols — cut customer IAM onboarding friction and met enterprise compliance.
Scaled Demandbase Intent pipelines on Apache Spark + Apache Airflow — automated job scheduling for intent signals surfacing sales opportunities at scale.
Drove platform reliability on AWS Lambda, S3, and Terraform-managed infra — fostered a cross-functional engineering culture through shared design docs and rigorous code review.
Stack: Java · Spring Boot · AWS · OAuth 2.0 · PostgreSQL · ElasticSearch · Gen AI · Apache Spark · Apache Airflow · Terraform

JavaSpring BootAWSOAuth 2.0Apache SparkApache Airflow

Xformics inc

Technical Lead Developer

Aug 2022 – Nov 2023 · 1 yr 3 mos · Bengaluru

Led a cross-functional pod delivering a UK-market travel platform and an internal ML experimentation platform.
Shipped a dynamic travel package builder for the UK market — auto-generates the most cost-effective multi-modal trips (flights + hotels + buses + trains) for any date range, pulling real-time pricing from 3rd-party APIs.
Integrated ClickHouse-backed structured data into the core Viva product — moved multi-second analytical queries into sub-second real-time response territory.
Built Providence — an internal ML experimentation platform letting Data Engineers and Scientists run and compare multiple models in a single UI. Eliminated notebook sprawl and accelerated model selection.
Stood up Jenkins-based CI/CD pipelines on AWS — dropped deploy cycle time from days to minutes and made rollbacks routine.
Stack: Java · Spring Boot · Apache Spark · Apache Flink · Python · ElasticSearch + Cassandra (Elassandra) · MySQL · Jenkins · AWS · ETL

JavaSpring BootApache SparkPythonElasticSearch

Concentric ai

Software Engineer

Jan 2021 – Aug 2022 · 1 yr 7 mos · Bengaluru

Core contributor to a data-privacy platform protecting sensitive information across hybrid cloud + on-prem environments.
Cut API latency by 60–65% and reduced service-to-service chatter by 35% — redesigned call graphs and consolidated data pipelines. System-wide performance lift that flowed straight to customer SLAs.
Built a multi-cloud + on-prem data scraping microservice unifying users, files, and folders behind a single API — became the backbone of downstream privacy tooling.
Shipped a PII-detecting word-cloud generator that flags Personally Identifiable Information against configurable thresholds — directly enabled GDPR and CCPA compliance for customers.
Drove Kubernetes (EKS) + Docker rollouts with JMeter-led performance tuning and automation testing — platform ran at target SLAs throughout.
Stack: Java · Spring Boot · Kafka · AWS S3 · EKS · Docker · Kubernetes · JMeter · Grafana · GDPR · CCPA

JavaSpring BootKafkaAWSKubernetes

Mozilla

Contributor

Dec 2020 – Aug 2022 · 1 yr 8 mos

Open-source contributor to mozilla/relman-auto-nag and mozilla/code-coverage — fixes, enhancements, deployment configuration, and bug triage. Active on Mozilla release-management tooling

JavaApache SparkKubernetesAWS

Cisco

2 roles

Software Developer

Aug 2019 – Jan 2021 · 1 yr 5 mos · Greater Bengaluru Area

Built real-time video analytics on Cisco’s collaboration platform (Webex / Meetings-class scale).
Shipped the Call Analyzer dashboard — categorizes users by call-quality issues and surfaces actionable insights. Cut issue-resolution time and earned Cisco’s internal “Advanced Diagnostics” award.
Built a Flink + Spark video-log analytics pipeline that diagnoses network and system issues on active calls — turns raw telemetry into ranked customer-impact signals.
Streamed Kafka → ElasticSearch pipelines powering 90-day DSAR reporting (data access, consent updates, file operations) with sub-second search and filter.
Runner-up at Cisco Hackathon 2019 (“Connect Everything”) — Team Collab Hacks.
Stack: Apache Spark · Apache Flink · Java · Scala · ElasticSearch · DynamoDB · AWS Redshift · Kubernetes · Docker · CI/CD

Internship

Jan 2019 – Jun 2019 · 5 mos · Bengaluru

Worked on media analytics on Cisco’s collaboration platform — extracted insights from large-scale call telemetry to give product teams a broader perspective on system performance. Early learnings fed into what later became the Call Analyzer product.
Stack: Java · Apache Spark · Kibana · Kafka · Jenkins · Git

Wesocio

Front End Architect

Jun 2018 – Jun 2018 · 0 mo · Delhi

Worked on implementing wireframes. Developed UI which is a kind of e-commerce site
Language: Angular-2
Tools: Visual Studio

Internity foundation

Developer

May 2018 – Jun 2018 · 1 mo · New Delhi Area, India

Worked on the e-Healthcare management system. The e-Healthcare management system is a web-based project that seeks to provide effective management of employee data and medical data of patients in hospitals and clinics.
Language: Java, J2EE
Tools: Git, IntelliJ IDEA

Rannlab technologies pvt. ltd.

Developer

Mar 2018 – Mar 2018 · 0 mo · New Delhi Area, India

Worked retrieval-based chatbot. It then uses some type of heuristic approach to select the appropriate response. Where we can customize the tone and flow of the chatbot to drive our customers with the best experience.
Language: Python, Node.js
Tools: Visual Studio