class MuhammadAneeq:
"""AI Engineer | Voice AI | LLM Systems | Healthcare AI | Computer Vision"""
def __init__(self):
self.name = "Muhammad Aneeq"
self.role = "AI Engineer @ VisionTact"
self.location = "Rawalpindi, Pakistan π΅π°"
self.phone = "+92 333 0245529"
self.email = "aneeqqamar13@gmail.com"
self.education = "BS CS (AI) β PMAS-AAUR | Sep 2021 β Jul 2025"
self.experience = "2.5+ years production AI systems"
self.domains = [
"ποΈ Voice AI & Real-Time Speech Pipelines",
"π€ LLMs, RAG & Multi-Agent Orchestration",
"π₯ Healthcare AI & Clinical NLP",
"ποΈ Computer Vision & Real-Time Detection",
"π¨ Generative AI β Diffusion, TTS, TTI",
"π UAV / Drone AI Analytics",
"βοΈ MLOps, FastAPI, Cloud Deployment",
]
self.currently_building = [
"Riya β real-time voice-to-voice AI interviewer avatar",
"VoiceTact enterprise voice agents (ASR + NLU + TTS)",
"LangGraph multi-agent conversational AI",
"Low-latency speech pipelines for AI-led interviews",
"Hybrid RAG with re-ranking for enterprise",
]
def highlights(self):
return {
"voice_ai": "Real-time ASR/LLM/TTS pipelines at scale",
"healthcare": "20% reduction in clinical documentation time",
"computer_vision": "90%+ vehicle detection accuracy from UAV imagery",
"llm_systems": "Multi-agent orchestration with LangGraph",
}
def available_for(self):
return ["Full-time Roles", "Freelance", "Research Collab", "Open Source"]
def __repr__(self):
return "AI Engineer | Voice AI Specialist | Builder | Problem Solver"
me = MuhammadAneeq()
print(me) # β AI Engineer | Voice AI Specialist | Builder | Problem Solver| Domain | Core Stack | Level |
|---|---|---|
| Voice AI | ASR Β· TTS Β· NLU Β· Dialogue Orchestration Β· Speech Pipelines | ββββββββββ 92% |
| LLM Engineering | GPT-4o Β· Claude 3.5 Β· Llama 3 Β· Mistral Β· DeepSeek | ββββββββββ 92% |
| RAG & Retrieval | LangChain Β· LlamaIndex Β· Pinecone Β· Qdrant Β· FAISS Β· ChromaDB | ββββββββββ 90% |
| Multi-Agent AI | LangGraph Β· CrewAI Β· AutoGen Β· Tool Use Β· Orchestration | ββββββββββ 88% |
| Computer Vision | YOLOv8 Β· OpenCV Β· MediaPipe Β· Detectron2 Β· MobileNet | ββββββββββ 90% |
| Generative AI | Diffusion Models Β· SD Β· SDXL Β· LoRA Β· DreamBooth Β· TTS Β· TTI | ββββββββββ 85% |
| NLP / Transformers | BERT Β· Whisper Β· T5 Β· HuggingFace Β· Fine-tuning | ββββββββββ 90% |
| Backend & APIs | FastAPI Β· Django Β· DRF Β· Flask Β· Celery Β· Microservices | ββββββββββ 90% |
| MLOps & Deploy | Docker Β· AWS Β· GCP Β· CI/CD Β· Nginx Β· Gunicorn | ββββββββββ 85% |
| GPU Acceleration | CUDA Β· TensorRT Β· ONNX Β· Mixed Precision | ββββββββββ 75% |
| Healthcare AI | Clinical NLP Β· PHR Β· FHIR Β· Speech-to-EHR Β· Transcription | ββββββββββ 85% |
| UAV / Robotics | Aerial Detection Β· Tracking Β· Autonomy Β· Crop Monitoring | ββββββββββ 82% |
| Project | Stack | Impact |
|---|---|---|
| ποΈ Riya β Voice AI Interviewer | ASR Β· LLM Β· TTS Β· Facial Animation Β· LangGraph | Real-time voice-to-voice AI interviewer avatar |
| π£οΈ VoiceTact Enterprise Agents | ASR Β· NLU Β· TTS Β· CRM Integration | Enterprise voice agents for automated calls |
| π₯ Voice PHR System | LangGraph Β· Claude Β· Whisper Β· FastAPI | Multi-agent health records; real-time voice I/O |
| π Cirrus AI Notes | NLP Β· Speech Recog Β· AWS Β· Python | 20% β clinical documentation time |
| π Cricket Coaching AI | MediaPipe Β· OpenCV Β· SwiftUI Β· SQL Server | Real-time pose + biomechanical feedback |
| π UAV Vehicle Detection | YOLOv8 Β· PyTorch Β· OpenCV | 90%+ accuracy from aerial imagery |
| πΏ Plant Disease AI | YOLOv8 Β· PyTorch Β· FastAPI | Early disease detection in agriculture |
| π©Ί Acne Detection CV | YOLOv8 Β· OpenCV | Medical-grade dermatological classification |
| π° Fake News Detector | BERT Β· Transformers Β· HuggingFace | High-accuracy multi-class NLP pipeline |
| π§ Smart Irrigation IoT | ML Β· MQTT Β· Embedded Β· Python | AI + IoT autonomous irrigation control |
| πΎ Crop Monitoring UAV | Aerial CV Β· PyTorch Β· GIS | Drone-based precision agriculture |
| π¨ Text-to-Image API | Diffusion Models Β· FastAPI Β· AWS | Production-scale image generation service |
| π Multilingual TTS API | TTS Β· FastAPI Β· Cloud | Multilingual text-to-speech synthesis |
ββββββββββββββββββββ¬ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β Jan 2025 β π AI Engineer β VisionTact, Islamabad (Present) β
β β Present β ββ Riya: Voice-to-voice AI interviewer (ASR+LLM+TTS) β
β β ββ TalentSage: AI-led video interviews & candidate screening β
β β ββ Low-latency speech pipelines for scalable interviews β
β β ββ LLM-driven adaptive questioning & evaluation reports β
β β ββ VoiceTact: Enterprise voice agents (NLU + Dialogue) β
β β ββ CRM/scheduling/messaging platform integrations β
ββββββββββββββββββββΌββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β Jul 2024 β π₯ Junior AI Engineer β MTBC CareCloud, Rawalpindi β
β β Jan 2025 β ββ Voice-Based PHR: Multi-agent conversational AI β
β β ββ Cirrus AI Notes: 20% reduction in documentation time β
β β ββ Text-to-Image API (diffusion, production scale) β
β β ββ Text-to-Speech API (multilingual accessibility) β
β β ββ Multilingual translation microservices β
β β ββ Cirrus Insights: AI health recommendations β
ββββββββββββββββββββΌββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β Jan 2024 β π Junior CV Engineer β Dione Technologies, Rawalpindi β
β β Jun 2024 β ββ UAV vehicle detection: 90%+ accuracy β
β β ββ Aerial crop monitoring (precision agriculture) β
β β ββ Object tracking & visual analysis systems β
β β ββ Autonomous application support β
ββββββββββββββββββββ΄ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
π Bachelor of Science in Computer Science β Specialization: Artificial Intelligence
Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi, Pakistan
π Sep 2021 β Jul 2025
Relevant Coursework: Artificial Intelligence Β· Machine Learning Β· Programming in AI Β· Artificial Neural Networks Β· Deep Learning Β· Computer Vision Β· Natural Language Processing Β· Knowledge Representation and Reasoning
active_research:
Voice_AI_Systems:
focus: Real-time ASR/LLM/TTS pipelines, dialogue orchestration, low-latency voice agents
tools: [Whisper, ElevenLabs, VAPI, FastAPI WebSockets]
application: AI-led interviews, enterprise voice automation
Agentic_AI:
focus: LangGraph multi-step reasoning and tool-use agents
patterns: [ReAct, Reflexion, Tree-of-Thought, MRKL]
application: Multi-agent orchestration for enterprise workflows
Advanced_RAG:
focus: Hybrid retrieval β dense + sparse, re-ranking, query decomposition
tools: [ColBERT, BM25, Cross-Encoder, HyDE, RAPTOR]
application: Enterprise knowledge retrieval systems
Medical_AI:
focus: Clinical transcription, FHIR-aware LLMs, PHR automation
models: [BioMedLM, ClinicalBERT, Whisper-Medical, Med-PaLM2]
application: Healthcare documentation & patient workflows
Vision_Language_Models:
focus: GPT-4V, LLaVA, CLIP for multimodal pipelines
use_case: Medical imaging + automated report generation
Edge_CV:
focus: YOLOv8/v9 + TensorRT + INT8 quantization for edge deployment
targets: [Jetson Nano, Raspberry Pi 5, UAV onboard compute]
application: Real-time drone & autonomous systems
Diffusion_Fine_Tuning:
focus: LoRA + DreamBooth for domain-specific generation
use_cases: [Medical imaging synthesis, industrial inspection]ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β β
β AI Engineer with experience building real-time voice AI systems, LLM-driven β
β interview workflows, healthcare AI tools, production-ready AI APIs, and β
β computer vision models. β
β β
β π― Key Achievements: β
β β£β Built Riya: Real-time voice-to-voice AI interviewer avatar β
β β£β Designed VoiceTact enterprise voice agents at scale β
β β£β Delivered 20% reduction in healthcare documentation time β
β β£β Achieved 90%+ vehicle detection accuracy from UAV imagery β
β ββ Production AI APIs: text-to-image, TTS, multilingual translation β
β β
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ