Backend Engineer

Open to full-time
Bio

Muhammed Y. is a talented Python Developer and Data Scientist with expertise in building high-performance backend systems, automation workflows, and AI-driven applications. Muhammed is proficient in Python, Cython, JavaScript, and SQL, and has hands-on experience with frameworks like FastAPI, Sanic, Flask, and Django. He is skilled in database management, working with PostgreSQL, MySQL, and MongoDB, and applies test-driven development (TDD) and network programming principles to backend development. His data science expertise includes NumPy, Pandas, Matplotlib, Scikit-learn, and deep learning neural networks, allowing him to extract insights and optimize systems. At Mango Zest Labs, he has contributed to scalable AI API deployments, containerized machine learning models using Docker, and secured authentication system. Previously, at Fagmaz Hydra Ventures, he developed automated inventory management systems, FastAPI-powered admin endpoints, and machine learning solutions for business intelligence. With a strong background in containerization, blockchain research, and cybersecurity, Muhammed is a highly adaptable engineer capable of delivering efficient, secure, and scalable solutions. His passion for innovation and problem-solving makes him a valuable asset to any tech-driven organization.

Expertise
PythonFast APIFlaskSQLMongoDBRelational DatabaseDocument DatabaseNumPyJavaScript
Video Intro
Assessments
APPLICANT AVG · 55%MUHAMMED · 100%0255075100TopASSESSMENT SCORE (0–100)

General Coding Assessment

(100/100)
  • Perfect score on H Distance QuestionEasy
  • Two Algorithm QuestionsMedium
  • Good score on String Scramble QuestionMedium
Projects

HEX-IAM — Open Source Multi-Tenant Identity & Access Management Platform

• Tech stack: Python, FastAPI, redis, OAUTH 2.0, postgresql, asyncpg, bcrypt, bloom filters • Designed production-grade, multi-tenant IAM platform providing secure authentication, authorization, and identity lifecycle management for SaaS applications • Implemented OAuth/OlDC-compliant authentication flows supporting PKCE, authorization codes, and refresh-token rotation • Built fine-grained authorization with RBAC, FGA, and ABAC-style policies, enforcing strict per-tenant isolation at application and database layers • Designed Redis-backed deterministic token revocation system using Bloom filters for 0(1) revocation checks with constant-time validation, avoiding per-request database calls or introspection endpoints while maintaining strong security guarantees where false positives result in forced re-authentication but never privilege escalation • Enforced strong tenant isolation using PostgreSQL Row-Level Security (RLS), enabling safe multi-tenant operation across shared infrastructure

DealForte

A Controlled Document Sharing and Virtual Data Rooms platform

Experience

  1. Backend Engineer

    Mango Zest Labs· Enterprise & SaaSJan 2025 — Present
    • Designed and built the backend for a Conversational AI Engine – sustaining 1,000 concurrent sessions with sub-second end-to-end latency across a full STT → RAG → LLM → TTS → PCM delivery pipeline.
    • Built backend-side VAD (Voice Activity Detection) interruption handling over raw 30ms PCM streams – detecting barge-in speech and halting mid-stream audio delivery server-side so users can interrupt the AI naturally, mid-response.
    • Designed RabbitMQ-backed async task decoupling between HTTP ingress and inference workers, letting the API layer and GPU compute scale independently, and built a multi-provider AI service abstraction that keeps sessions running if a provider fails.
    • Built a two-stage RAG pipeline: fusion reranker merges BM25 sparse and BGE dense results; cosine reranker narrows to a final context window for more accurate context scoring across different scenarios.
    • Configured SIP/Asterisk trunk connectivity and built WebSocket + RTP bridge infrastructure routing PSTN/VoIP calls into the AI engine.
    • Onboarded Telecom provider-backed SIP trunks into VAPI via BYO (bring-your-own) trunk configuration for a virtual call center product – eliminating absolute reliance on third-party number providers like Twilio or VAPI-provided numbers.
    PythonDockerFastAPIOAuth 2.0openaiwhispertransformersLLMAgentic AIAIasteriskSIPConversational AIRabbitMQAsyncIOQueuesRedisConcurrencycachingPostgreSQLpgvectorRAGAgentic RAGRLS

  2. Lead Backend Engineer

    Data Quotient Limited· Enterprise & SaaSJan 2025 — Feb 2026
    • Led backend design and owned the technical-direction decisions for a multi-tenant DaaS and AI platform spanning four products: DataBrew, Leveller, a Developer Portal, and Cudify.
    • Built DataBrew, a plan-gated REST API unifying fragmented Nigerian market, financial, and government data into one consistent schema – giving experts and businesses programmatic access to Nigerian data in a clean, ready-to-use format.
    • Built DataBrew's ingestion pipeline – consuming licensed and open data sources periodically, including manually-sourced government data like FAAC disbursements – cleaned and schema-enforced at the boundary to power DataBrew's APIs.
    • Built the Developer Portal, enabling developers and organizations to purchase and manage subscriptions, manage usage-based credits, and provision API credentials across services and applications offered by the company from a single interface.
    • Built Cudify, a multi-currency wallet and payments Kotlin backend, with immutable, append-only transaction ledgers enabling a verifiable audit trail for compliance and dispute resolution, and atomic debit/credit guarantees.
    • Built Leveller, a B2B business-intelligence product combining a data marketplace and analytics surface on top of DataBrew's feeds – giving customers QueryFuse BI insights and anomaly-triggered advisories via their own business data without having to build a data pipeline.
    • Implemented full credential lifecycle management with tenant isolation enforced at the database layer via Row-Level Security – so a bug in application logic can't leak one tenant's credentials into another's.
    • Load-tested DataBrew's data-serving endpoints to sub-100ms latency, and wrote targeted unit tests on security-critical authentication and RLS/ledger isolation guarantees across all four products ahead of beta rollout.
    PythonFastAPIOAuth 2.0MongoDBPostgreSQLAmazon Document DBAWS S3CloudinaryKotlinKtorAPI integrationData scrapingData PipelinesRLSDAAS

  3. Backend Engineer

    Mango Zest Labs· Enterprise & SaaSJun 2024 — Dec 2024
    • Deploy and maintain containerized HashiCorp Vault instances for secure secrets management
    • Develop and deploy backend APIs for interacting with Generative AI (GenAI) models
    • Developed a stablecoin‑based payment engine (POC) enabling low‑fee, near‑instant settlement for customer checkouts.
    • Researched and delivered a Web3 proof‑of‑concept for business registration using smart contracts and asset tokenization on the XRP Ledger.
    • Built a proof of concept around Conversational AI engine
    XRPPythonWeb3HCLFastAPIPostgreSQLDockeropenaiLLM

  4. Backend Developer

    Fagmaz Hydra Ventures· OtherJan 2021 — May 2024
    • Contributed to an inventory management system for agricultural operations, cutting farm stock and input tracking from 4 hours of manual work to under 15 minutes.
    • Developed scheduled analytics and reporting pipelines that replaced manual data extraction with automated daily reports for execs and staff.
    • Built and maintained an internal admin portal giving operations staff direct access to backend data management and configuration.
    FlaskDjangoPythonJavascriptMySQL
Education

  1. Bachelor of Science

    University of Osun StateNigeria2022 — 2026
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Lagos, Nigeria · 3-4 years experience

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