Lyzr AI · Lead Core Platform Engineer
Sep 2026 – Present
Core platform · agent infrastructure
Shubham
Richhariya
I turn messy, ambiguous problems into simple systems that ship, whatever the stack.
On the side, building Weft, which weaves your social bookmarks into a searchable, auto-tagged library.
$25M+
transactions
processed
processed
High
availability
availability
in production,
at scale
at scale
5TB+
lakehouse
/ 1.5M+ accounts
/ 1.5M+ accounts
~10
cross-functional
team led
team led
01
Profile
A backend engineer at heart, with 12+ years on the systems where mistakes are expensive: payments, secure APIs, and data platforms at scale.
That has meant a $25M payments pipeline and a multi-terabyte lakehouse, built from zero at startups, plus earlier backend work at Akamai and secure financial APIs at Oracle. More recently I went deep on agentic AI at Redblock, building multi-agent systems and computer-use agents (web navigation plus vision) that automate real work. I lead cross-functional teams and stay hands-on, still designing the hardest APIs alongside the team.
FocusBackend · APIs · Data platforms
NowLyzr AI · Core Platform
Team led~10, cross-functional
CloudAWS (deep)
Patent-pendingLLM security work
Based inBengaluru, IN
02
Experience
Collective Artists Network · Head of Engineering
Sep 2024 – Aug 2026
Data Platform Infrastructure · Scale & Analytics Automation · hands-on
- Made cross-platform social analytics possible: designed a 5+ TB lakehouse over 1.5M+ social-account records (follower counts, engagement, and profile data) on Dagster, Apache Iceberg, and StarRocks, with an analytics API answering core queries at sub-second latency and LLM workflows that auto-classified and enriched incoming data, replacing slow, ad-hoc reporting.
- Halved the platform's AWS storage-and-network bill (50%) through deliberate cost engineering: Iceberg binpack compaction, snapshot cleanup, and a consolidated single-AZ layout on a self-managed EC2 NAT that removed cross-AZ and NAT-Gateway fees, a conscious cost/availability tradeoff for a batch analytics platform.
- Scaled the engineering org's throughput: rolled out Jenkins CI/CD across core projects, migrated legacy JavaScript → TypeScript to enforce standards, and built a custom Jira hiring pipeline to grow the team.
- Hardened access as the org grew: restructured AWS with Organizations & IAM Identity Center for centralized, auditable control, and cut licensing spend by standardizing on open-source.
Redblock.ai (formerly Quolum) · Technical Lead, previously Founding Engineer
Aug 2020 – Sep 2024
One company through a pivot: agentic AI for identity security, after its fintech spend-management era
Redblock.ai: agentic AI for identity security, after the pivot
- Cut customer security-remediation turnaround by 80% (weeks to hours): built AI agents that operate disconnected, API-less apps through their own UI (web navigation plus vision-model screen parsing) to detect and automatically remediate identity and access risks that traditional tools cannot reach, part of patent-pending work.
- Architected the system behind it: a high-availability multi-agent orchestration framework with a central coordinator for task delegation, web navigation, and screen parsing; benchmarked OpenAI vs. open-source vision models for latency, accuracy, and cost.
- Built the ingestion and transformation pipeline (DynamoDB, Kinesis) that aggregated users, roles, and access from across disconnected apps into the signals the agents acted on.
Quolum: spend management & core payment infrastructure
- Owned the revenue-critical path: engineered the end-to-end payments pipeline (Kinesis, SQS, SNS, Elasticsearch, Redis) that processed $25M in real-time purchases and refunds with near-continuous availability.
- Took a fintech spend-management platform from zero to production as founding engineer: the core system and a company-card program built on Marqeta, with infrastructure in per-service CloudFormation stacks.
- Cut failure rates 70% across 100+ third-party integrations by moving the long-running jobs off Lambda, where they were hitting timeout and concurrency limits, onto EC2, ending the on-call pages they caused.
- Cut new SaaS integration delivery from 6 days to 2 days by building a custom code-generation toolchain: reusable Maven archetypes and Apache Velocity templates, adopted by 6+ developers to scaffold every integration, years before LLM codegen existed.
Embibe · Software Engineer II
May 2019 – Aug 2020
Content Management System (CMS) Infrastructure
- Built the ingestion pipeline behind Embibe's CMS, organizing its educational-content catalog for review and publishing.
- Shipped the content-approval workflow: quality checks and structured review that gated publication.
Akamai Technologies · Software Engineer II
Aug 2015 – May 2019
Momentum Order Management System (OMS)
- Ran the Momentum OMS that Akamai's global Sales and Marketing teams depended on: order-management tooling built and maintained across Salesforce Classic, Lightning, and Mobile.
- Led the Ruby on Rails upgrade and refactor of the legacy distributed codebase, retiring the technical debt that was slowing every new feature.
- Cut server-side document generation time 60%: built custom async PDF/DOC/Excel generation for MSAs and sales documents.
Oracle Financial Services · Associate Application Developer
Aug 2014 – Aug 2015
Liquidity Management Infrastructure Product
- Built the secure REST APIs behind real-time data integration for Oracle's financial liquidity product.
03
Projects
Weft
local-first live demo ↗The problem: you save things across Instagram, X, LinkedIn, Reddit, YouTube, and more, and it all piles up siloed and unsearchable. A café you meant to try, a system-design thread, an article to revisit, then months later you cannot find any of it and just search from scratch.
Weft weaves your saves from 8 sources into a searchable, auto-tagged library, so you can actually find things again: search, ask questions over it (RAG), and draft from it. Runs 100% local; nothing ever leaves your machine.
04
Stack
Languages
Backend & APIs
Data Engineering
Cloud · AWS
Databases
Agentic AI & LLMs
DevOps & Infra
Open to conversations
Let's build something resilient.
Always happy to talk agentic AI, platform engineering, and backend systems. If you're building agents that do real work, wrestling with a hard system problem, or just want to compare notes, I'd love to hear from you.