Software Development Engineer · Distributed Systems & AI Architecture
Mustafa Ansari
I architect resilient distributed systems — and take products from zero to production scale.
Software Development Engineer experienced in owning backend architecture, distributed concurrency controls, and enterprise analytics across omnichannel retail SaaS platforms powering 100+ global brands. I combine high-reliability backend engineering with AI-native product execution.
Architecture & Scale Snapshot
100+
Enterprise Retail Brands Powered
1,500+
Production BI Reports Reconciled
1,000+
Concurrent VUs Load-Tested (K6)
1914 / 1804
CodeChef 4★ · LeetCode Knight
Core Systems Focus
About
I'm a systems-first Software Development Engineer who thrives on end-to-end ownership. In my time at Increff, that meant architecting backend capabilities for OMNI — a distributed order management SaaS platform powering omnichannel fulfillment, logistics integration, and order orchestration for 100+ enterprise retail brands. I don't just ship endpoints; I design for distributed concurrency, idempotency, and automated failure recovery in production.
The highest-leverage engineering turns bespoke work into reusable platforms. Whether evolving a configurable Rule Engine so enterprise clients can deploy custom validation workflows without engineering intervention, or spearheading a standardized K6 load-testing harness adopted across multiple product teams to simulate 1,000+ concurrent virtual users, I focus on architectural decisions that multiply org-wide engineering velocity.
Beyond enterprise retail infrastructure, I take full-stack AI platforms and real-time developer systems from 0 to 1 — from idempotent webhook payment state machines to containerized untrusted code sandboxes. My systems mindset is grounded in rigorous algorithmic problem-solving (1,000+ DSA problems, CodeChef 4-Star, LeetCode Knight) and large-scale machine learning (Amazon HackOn Top 100, Amazon ML Summer School).
100+ Enterprise Clients · 1,500+ Production BI Reports · 1,000+ Concurrent VUs Benchmarked · 1914 CodeChef (4★) · 1804 LeetCode (Knight)
Core Engineering Pillars
- Distributed Systems & Concurrency Architecture: Microservices orchestration, Redis distributed locking, idempotent webhook state machines, and distributed rate limiting
- Platform-over-Throughput Engineering: Configurable zero-code rule engines, multi-app K6 performance harnesses, and automated Docker + GitHub Actions CI/CD
- AI-Native Product & Agentic Engineering: Spring AI, LangChain, LangGraph, RAG pipelines, document intelligence, and AI-accelerated engineering workflows
- Enterprise Data & Analytical Reliability: Automated financial reconciliation across 1,500+ reports, Apache Superset BI modeling, and Azure Data Factory pipelines
Experience
Software Development Engineer — Increff
August 2025 — August 2026 · Bengaluru, India
Platform: OMNI (Distributed Order Management SaaS) | Scale: 100+ Enterprise Retail Brands | Mandate: Backend Architecture, Concurrency, BI & Performance Tooling
Scope: Owned core backend architecture, distributed concurrency controls, and enterprise data pipelines for Increff's flagship OMNI platform. Drove platform-level engineering initiatives across omnichannel order orchestration, zero-code rule evaluation, third-party logistics synchronization, automated financial reconciliation, and multi-application load testing.
- [Core Platform Ownership]Owned and shipped production backend architecture for OMNI, a distributed order management SaaS platform serving 100+ enterprise retail clients across omnichannel fulfillment, inventory allocation, logistics integration, and high-throughput order orchestration.
- [Platform Extensibility]Architected new validation capabilities inside a configurable Rule Engine Framework, decoupling tenant-specific business rules from core service code and enabling zero-code enterprise workflow deployment across retail clients.
- [Distributed Concurrency]Designed and implemented a Redis-based distributed locking mechanism across microservices, eliminating race conditions, duplicate order mutations, and redundant downstream API calls under burst concurrency.
- [Distributed Integration]Engineered fault-tolerant integrations with third-party logistics (3PL) aggregator APIs to automate shipment state transitions and synchronize fulfillment telemetry across distributed microservices, eliminating manual operational reconciliation.
- [Data Integrity at Scale]Architected and optimized backend reporting and reconciliation engines powering 1,500+ business-critical enterprise reports, guaranteeing strict financial and inventory data consistency through automated cross-service verification.
- [Self-Serve BI Architecture]Built multi-tenant finance and billing analytics architecture in Apache Superset with reusable semantic datasets and executive dashboards, unlocking real-time operational visibility for 100+ enterprise brands.
- [Data Pipeline Automation]Orchestrated automated report generation and encrypted file delivery pipelines using Azure Data Factory and SFTP, ensuring SLA-backed, zero-touch financial reporting delivery for 100+ enterprise clients.
- [Org-Wide Reliability Tooling]Spearheaded the architecture of a reusable K6-based load testing framework adopted across multiple engineering teams, simulating 1,000+ concurrent virtual users and surfacing critical database and microservice bottlenecks ahead of peak retail scale.
Systems & Architectures
0→1 full-stack products and enterprise engineering frameworks built for concurrency and scale.
0→1 Product Architectures
Architected an end-to-end AI SaaS platform with Spring Boot, React, PostgreSQL, and Spring AI. Engineered an idempotent payment and credit ledger using signature-verified Cashfree webhooks, ACID atomic transactions, and distributed rate limiting.
Key Architecture: Exactly-once credit allocation + distributed LLM rate limiting
Designed a full-stack collaborative coding platform and online judge supporting 5 languages. Engineered a containerized sandbox execution engine to safely compile and evaluate untrusted code against hidden test suites with real-time WebSocket synchronization.
Key Architecture: 5-language isolated execution sandbox + WebSocket state sync
Enterprise Frameworks & High-Throughput Pipelines
Declarative Rule Engine & Redis Concurrency Guard
— Zero-code enterprise workflow validation & distributed lockingDecoupled client-specific retail order validation into a configurable Rule Engine while enforcing Redis-based distributed mutual exclusion across OMNI microservices to prevent duplicate processing under concurrent load.
Key Architecture: Zero custom code for client rules + zero duplicate order mutations
Org-Wide K6 Performance & Load Testing Framework
— Standardized stress-testing harness adopted across product teamsDesigned a reusable, modular K6 load-testing framework adopted across multiple Increff applications to simulate 1,000+ concurrent virtual users, automate SLA assertions, and surface critical bottlenecks pre-production.
Key Architecture: 1,000+ concurrent virtual users · Adopted across multiple apps
High-Throughput Visual Entity Extraction Pipeline
— Structured attribute extraction across 300,000+ product imagesBuilt an end-to-end machine learning inference and normalization pipeline for the Amazon ML Challenge 2024 to extract structured product specifications (weights, dimensions, volumes) from a dataset of 300K+ noisy catalog images.
Key Architecture: 300K+ image dataset · Automated unit normalization & parsing
Technical Stack
Achievements & Leadership
Algorithmic Problem Solving & Competitive Programming
CodeChef 4★ (1914) · LeetCode Knight (1804)Solved 1,000+ complex algorithmic and data structure problems across competitive programming platforms, demonstrating top-percentile speed and rigor in graph algorithms, dynamic programming, and concurrency primitives.
Amazon HackOn National Hackathon — Top 100 Team
Top 100 Among MillionsLed system architecture and rapid full-stack execution to secure a Top 100 team finish nationwide among millions of competing engineering participants in Amazon HackOn.
Amazon ML Summer School 2025 — Selected Mentee
Selective National CohortSelected through a rigorous national evaluation for intensive mentorship with Amazon Scientists covering deep learning foundations, large-scale ML system design, and production model optimization.
Open Source & Campus Engineering Leadership
EddieHub OSS · MMDU E-Cell (+30% Engagement)Active Open Source Contributor at EddieHub since 2022, shipping production bug fixes and feature enhancements across community-driven repositories. Architected interactive platform features and a real-time leaderboard for the MMDU E-Cell Platform that increased participant engagement by 30%.
Education
Maharishi Markandeshwar (Deemed to be University), Mullana
August 2022 — April 2026 · Ambala, Haryana, India
Bachelor of Technology in Computer Science and Engineering