Senior Software Engineer
AI Systems & Telephony Specialist
Ex-Chief Technology Officer
Connect:
@2026 • LAGOS / REMOTE
Samuel Clement - Senior Software & AI Engineer
Samuel Clement Ebong
9+ Yrs Exp

Clement®

Explore Work

I'm Samuel Clement, a Senior Software & AI Systems Engineer building carrier-grade voice telephony, high-throughput distributed systems, and intelligent digital products that scale.

Production LLM & RAG Systems
Vector DBs (pgvector, Pinecone, Qdrant)
Agentic AI Workflows & Tool Calling
Hybrid Semantic & Sparse Search
AI Telephony & WebRTC Infrastructure
Carrier-Grade SIP & CPaaS (Telnyx / Jambonz)
Real-Time Speech-to-Text & Neural TTS
Sub-100ms High-Throughput APIs
Enterprise CRM Bi-directional Sync
Fractional CTO & AI Architecture Advisory
Production LLM & RAG Systems
Vector DBs (pgvector, Pinecone, Qdrant)
Agentic AI Workflows & Tool Calling
Hybrid Semantic & Sparse Search
AI Telephony & WebRTC Infrastructure
Carrier-Grade SIP & CPaaS (Telnyx / Jambonz)
Real-Time Speech-to-Text & Neural TTS
Sub-100ms High-Throughput APIs
Enterprise CRM Bi-directional Sync
Fractional CTO & AI Architecture Advisory
Production LLM & RAG Systems
Vector DBs (pgvector, Pinecone, Qdrant)
Agentic AI Workflows & Tool Calling
Hybrid Semantic & Sparse Search
AI Telephony & WebRTC Infrastructure
Carrier-Grade SIP & CPaaS (Telnyx / Jambonz)
Real-Time Speech-to-Text & Neural TTS
Sub-100ms High-Throughput APIs
Enterprise CRM Bi-directional Sync
Fractional CTO & AI Architecture Advisory
thesamclem@ai-shell: ~ (LLM & RAG Engine)
Quick Run:
$samuel --status

✓ Samuel Clement [TheSamclem] AI Systems Initialized (v9.5.0)

Specialization: Production LLMs, Hybrid RAG Pipelines, Vector DBs & WebRTC Telephony

Stack: LangChain, LlamaIndex, pgvector, Pinecone, FastAPI, Python, Go

Type help or click quick chips below to run live diagnostics.

$
About Me

Engineering with precision, LLMs & scale.

Founding Engineer • Ex-CTO

I'm Samuel Clement, a multidisciplinary Senior Software & AI Systems Engineer building production LLM & RAG architectures, vector search systems, and real-time voice AI telephony. From fine-tuning models and architecting hybrid vector search with pgvector/Pinecone to high-throughput cloud microservices, every system is engineered with architectural rigor.

Over the past 9+ years, I have served as a Founding Engineer at Kassie AI, Chief Technology Officer at Shortchase, and core software architect across fintech, edtech, and AI search domains. I bridge advanced LLM pipelines with robust production backends.

Production LLMs & RAG Systems

Hybrid dense/sparse vector retrieval (pgvector, Pinecone), LangChain/LlamaIndex pipelines, cross-encoder re-ranking, and sub-10ms semantic caching with Redis.

Voice AI & WebRTC Telephony

Carrier SIP trunking (Telnyx/Jambonz), low-latency WebRTC media servers, real-time token-streaming speech synthesis, and autonomous CRM webhook synchronization.

9+
Years Professional Experience
Full-Stack, LLM & AI Systems
140K+
Concurrent Users Served
Exam Portals & Scalable Backends
50+
Enterprise Projects Delivered
RAG, Telephony, Web & APIs
99.99%
System Architecture Uptime
Carrier-Grade Voice & WebRTC
Core Stack & AI Ecosystem

LLM Frameworks, Vector DBs & Distributed Systems

LLMs & RAG
LLM & Prompt Chaining
LLMs & RAG
RAG & Vector Search
LLMs & RAG
LangChain & LlamaIndex
LLMs & RAG
pgvector & Pinecone
LLMs & RAG
Qdrant & ChromaDB
LLMs & RAG
OpenAI / Anthropic / Gemini
LLMs & RAG
vLLM & Local Inference
LLMs & RAG
HuggingFace Transformers
AI & Backend
Python
Language
TypeScript
Distributed Systems
Go (Golang)
Frontend & Fullstack
Next.js 15+
Frontend
React 19
Backend
Node.js
Real-time Telephony
WebRTC / SIP
CPaaS & VoIP
Telnyx / Jambonz
DevOps
Docker
Cloud Infrastructure
AWS (S3, EC2, RDS)
Database & Cache
PostgreSQL & Redis
Styling
Tailwind CSS
CRM Integration
HubSpot & Salesforce API
Featured Work

Selected Work & Systems

9 Production Platforms Engineered Across AI, Cloud & High-Throughput Web

Kassie AI Voice & RAG Agent
AI & Telephony/2025
Inspect System Case Study

Kassie AI Voice & RAG Agent

Carrier-Grade AI Telephony, Autonomous LLM Routing & CRM RAG Sync

Webmaxi AI SEO & Semantic Intelligence
AI & Telephony/2024
Inspect System Case Study

Webmaxi AI SEO & Semantic Intelligence

LLM-Powered Search Visibility, Keyword Engine & Competitor Audit Platform

FoodHutz Dual Logistics Platform
Full Stack & Cloud/2024 - 2025
Inspect System Case Study

FoodHutz Dual Logistics Platform

Cross-Border On-Demand Food Delivery & Table Reservation Ecosystem

Coopla by Cuive Technologies
Fintech & Coops/2024
Inspect System Case Study

Coopla by Cuive Technologies

Cooperative Financial Management, Automated Thrift & Loan Ledger

Superfan.ng EdTech Platform
Web & EdTech/2024
Inspect System Case Study

Superfan.ng EdTech Platform

Gamified African Language & Cultural Knowledge Learning Engine

Boogidy Multi-Service App
Full Stack & Cloud/2024
Inspect System Case Study

Boogidy Multi-Service App

Unified Ride-Hailing & On-Demand Food Delivery Ecosystem

Shortchase Prediction Engine
Full Stack & Cloud/2023 - 2025
Inspect System Case Study

Shortchase Prediction Engine

AI-Powered Social, Sports & Event Forecasting Marketplace

FountainPay Digital Gateway
Fintech & Coops/2023
Inspect System Case Study

FountainPay Digital Gateway

Secure, High-Throughput Fintech Payment Infrastructure

Al-Hikmah / FUOYE eCampus Portal
Web & EdTech/2021 - 2023
Inspect System Case Study

Al-Hikmah / FUOYE eCampus Portal

High-Concurrency Academic & Computer-Based Testing Infrastructure

Work Process

How I Build & Ship Systems

01
Data Modeling & Embeddings

Discovery & Vector Architecture

Every AI and distributed project starts with analyzing data ingestion contracts, knowledge embedding strategies, and latency constraints. I design clean domain models, vector index topologies, and API contracts before touching code.

Embedding model selection (Dense + Sparse Hybrid)
Chunking strategy & metadata filtering schemas
Database indexing (pgvector, Pinecone) & caching budgets
Wireframe Architecture Orb
Phase 01 Active
Data Modeling & Embeddings
What I Do

Capabilities & Engineering Services

01

LLM & Production RAG Systems

02

Voice AI & Telephony Pipelines

03

Full-Stack & Distributed Systems

04

CTO Advisory & AI Strategy

LLMs • RAG • Vector DBs
01

LLM & Production RAG Systems

Vector Search, Semantic Caching & Agentic Workflows

Architecting enterprise-grade Retrieval-Augmented Generation (RAG) pipelines, dense/sparse hybrid vector search (pgvector, Pinecone, Qdrant), semantic caching with Redis, contextual chunking, re-ranking, and autonomous tool-calling AI agents.

Key Deliverables & Outcomes
Production RAG architectures with hybrid vector & BM25 search
Sub-100ms semantic caching & context pruning with Redis
Autonomous tool-calling agents & LangChain/LlamaIndex pipelines
Hallucination mitigation, guardrails, and evaluation frameworks
Career History

Work Experience & Impact

9+ Years of Hands-On Engineering

Leading core telephony architecture, real-time LLM voice pipelines, RAG over enterprise CRMs, natural language IVR systems, and bidirectional CRM synchronization.

Key Responsibilities & Impact
  • Architected conversational LLM voice agents integrating carrier-grade SIP trunking (Telnyx/Jambonz), WebRTC audio streaming, and neural STT/TTS with <120ms latency.
  • Engineered RAG pipelines utilizing hybrid vector search (dense embeddings + BM25 keyword search) over enterprise CRM histories (HubSpot, Salesforce, Gong, Apollo).
  • Built low-latency media servers and WebSocket bridges with OAuth 2.0 security, rate-limiting, and custom schema mapping.
  • Implemented AI call routing algorithms distributing calls based on CRM context, agent skill tiers, and real-time speech transcription.
  • Designed post-call automated workflows: CRM enrichment, disposition classification, lead score prediction, and AI email transcript summaries.
Technologies & Architecture
LLMs & RAGVector Search (pgvector)WebRTCTelnyxJambonzPython / FastAPINode.jsRedis Semantic CacheSalesforce APIHubSpot APIDocker

Educational Background

2021Ekiti State, Nigeria

Bachelor of Science (B.Sc Hons) in Computer Science

Federal University Oye-Ekiti (FUOYE)

2013Ilorin, Nigeria

Ordinary National Diploma (OND) in Computer Science

Kwara State Polytechnic

2012Ilorin, Nigeria

Senior Secondary School Certificate

St. Anthony's Secondary School

Certifications & Honors

2023Verified

Certificate of National Service (NYSC)

National Youth Service Corps

2015Verified

Certificate in Business Leadership

Zero To Zenith Business School

Leadership & Mentorship

Pioneered technical workshops and mentored 20+ junior engineers and interns in software architecture, Agile methodologies, and clean code practices.

Client Feedback

Testimonials & Endorsements

Samuel's architectural depth in production LLM pipelines, RAG, and WebRTC telephony is world-class. He took our AI voice and knowledge retrieval platform from concept to carrier-grade production in record time.

AM

Alex Morgan

Co-Founder & VP of ProductAI Communications Platform

As our CTO, Samuel overhauled our entire backend infrastructure, cutting server response times by 50% and establishing CI/CD practices that 3x'd our team's delivery velocity. Exceptional leader.

DV

David Vance

Managing DirectorShortchase Inc.

When building Webmaxi, Samuel delivered an AI-driven semantic auditing engine that handles thousands of concurrent page analyses without breaking a sweat. His technical precision is unmatched.

TA

Tariq Adeleke

Head of GrowthWebmaxi Technologies

Samuel built our high-concurrency student testing portal supporting 140,000+ users. The system handled massive exam surges with zero downtime and incredible responsiveness.

OB

Prof. O. Bakare

Director of ICTeCampus University Portal

FAQ

Frequently Asked Questions

Have a custom inquiry or engineering requirement? Feel free to reach out directly anytime.

For AI and RAG, I work heavily with Python (FastAPI), LangChain, LlamaIndex, pgvector, Pinecone, Qdrant, OpenAI/Anthropic/Gemini APIs, and local inference engines (vLLM, Ollama). For distributed systems and real-time voice, I build with Go, Node.js, WebRTC, Telnyx, Jambonz CPaaS, PostgreSQL, Redis, Docker, and AWS.
OPEN FOR SENIOR ENGINEERING ROLES & ADVISORY

Let's talk

Looking to build a carrier-grade voice AI system, scale your distributed backend, or consult with a proven CTO? Let's engineer something extraordinary together.

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Samuel Clement
Samuel Clement@TheSamclem