Lahore, Pakistan Β· Full-Stack AI Engineer @ Sensus DWC LLC (Dubai)
I'm an AI Engineer with ~2 years of focused experience building RAG systems, LLM applications, and Voice AI agents for real clients across automotive, education, defense, and enterprise SaaS.
My work bridges research and deployment β I build things that run in production, not just demos. I specialize in:
- π§ RAG & LLM Systems β semantic retrieval, hybrid search, multi-tenant architectures, prompt engineering at scale
- π Voice AI Agents β real-time conversational agents using ElevenLabs, VAPI, Retell AI, Deepgram, and Twilio
- βοΈ Backend & APIs β FastAPI, Django REST, Node.js, AWS, Docker
|
Client: Proton Malaysia |
π ParadeDeck AIPodcast-native RAG platform for military intelligence content. Transcribes, embeds, and semantically searches 100+ hours of military podcasts. Built with Deepgram, Pinecone, and LLMs β enabling sub-second semantic discovery across a large audio content library. |
|
Outbound trade-in campaign agent for an automotive dealership. Runs full conversation flows β qualification, objection handling, appointment booking β over WhatsApp via a multi-agent architecture with session memory, pgvector semantic search, and campaign-specific guardrails. |
π AureliaAI diagnostics assistant for an industrial crane services company. Processes error codes and troubleshooting manuals for EFFER, PM, and HIAB equipment β delivering concise, accurate guidance in under 500 chars for field technicians under time pressure. |
π§ Ekko AIEnterprise multi-tenant SaaS for AI-assisted knowledge work. Features subscription management, analytics dashboard, prompt template library, and Firebase push notifications. Built on Django REST + LangChain β designed for team-scale deployment. |
π MathWizAdaptive EdTech platform that generates grade-appropriate math questions, runs personalized quizzes, and gamifies progress with badges. LLM-generated content served via FastAPI + AWS β designed to reduce teacher workload for content creation. |
|
Production-ready FastAPI wrapper for robust playing card detection using YOLOv8 with multi-scale detection, image preprocessing, and batch processing capabilities. |
π Salah GPTIslamic AI assistant grounded in Quran & Hadith for contextual Q&A. A RAG-based system delivering domain-accurate, citation-aware religious guidance. |
| Project | What it does |
|---|---|
| π Akademus AI | Document-based RAG platform with auto-generated flashcards & quizzes for students |
| π§Ύ Requirement GPT | LLM-powered structured SRS document generator for software teams |
| π AI Voice API Platform | Omnichannel conversational AI system with automated telephony infrastructure |
- π₯ Kaggle Notebooks Master β Top 150 globally Β· 1x Gold, 5x Silver, 15x Bronze medals
- π LinkedIn Top Voice (AI) β Recognized for making complex AI concepts accessible
- π» 250+ LeetCode Problems β Strong DSA foundation
- π Top Performer @ Knowledge Streams β 94% evaluation score during AI internship
- π IBM Certified Data Scientist
- π Building: Outbound Voice AI calling agents & multi-agent WhatsApp systems
- π Reading: AI Engineering by Chip Huyen
- πΌ Open to: AI/ML engineering roles Β· Research collaborations
| Repository | Stars | Contribution |
|---|---|---|
| pipecat-ai/pipecat | Multiple merged PRs β NVIDIA STT bug fix + memory service reliability fix in this real-time Voice AI framework | |
| mem0ai/mem0 | PR #5573 β Semantic entity typing with sync/async parity in the entity store; reviewed & approved by maintainers | |
| github/awesome-copilot | Merged contribution | |
| K-Dense-AI/scientific-agent-skills | PR #173 β Pinecone vector database skill with hybrid search & scientific embedding models | |
| NousResearch/hermes-agent | PR #37959 β Pinecone RAG skill adapted for the Hermes agent schema |
I'm always open to interesting conversations β whether you're building something with LLMs, exploring Voice AI, or want to talk shop about RAG systems and AI agents.
- πΌ Roles β Open to AI/ML engineering roles at companies working on meaningful problems
- π Research β Interested in collaborating on NLP, RAG, or conversational AI research
- π¬ Get in touch β muhammadfurqan0100@gmail.com or connect on LinkedIn
Building AI systems that work in production Β· RAG Β· Voice AI Β· LLM Applications


