Available for Senior Engineering Roles
Mohammed Younus
Senior Full Stack Engineer | AI/ML Engineer | Cloud & IoT Systems
Building scalable, cloud-native applications serving 300K+ users across healthcare, fintech, manufacturing, and government — with 12+ years of full-stack, AI/ML, and IoT expertise.
Architecting Mission-Critical Systems.
Engineering at Scale.
& AI Engineer
Full-Stack
AI / ML
Data Science
IoT
Cloud
DevOps
Mobile
Architecture
12+ Years
of Excellence
Enterprise software across
Healthcare, Fintech & Gov
Technology Stack
Languages & Frameworks
Cloud & DevOps
AI/ML & Data
IoT & Real-Time
Databases
Security & Architecture
Professional Experience
12+ years of engineering excellence across healthcare, fintech, IoT, and government sectors. Scroll to explore the journey.
Electronics testing, embedded systems validation, EVM/radar diagnostics, and Python-based automation at India's premier defence electronics PSU.
- Electronics testing & validation of EVM and radar diagnostic systems
- Embedded systems programming on ARM-based hardware platforms
- Python automation scripts reducing manual test cycles by 40%
Enterprise Java applications for financial and logistics domains, delivering significant performance and scalability improvements.
- Improved API response time 30% via Java and database query optimization
- Scaled concurrent user handling from 500 to 2,000+ without infra changes
- Delivered REST APIs for financial and logistics domain enterprise systems
Full-Stack Developer & Technical Lead. Shipped 8+ cross-platform mobile apps with 100K+ downloads and built AI-powered chatbots reducing support overhead drastically.
- AI chatbots with NLP/LLM: support response time from 4–6 hrs → <2 min (80% automation)
- Flask & Django REST APIs handling 50K+ daily requests at <200ms latency
- Power BI dashboards driving 15% improvement in user retention
Senior Software Engineer & Architect leading AI/ML initiatives and scalable microservices for e-commerce and nutrition platforms.
- Globlix: 10M+ monthly transactions, 99.99% uptime, ML fraud detection at 96% precision
- GraphQL API optimization reducing bandwidth 35% for 300K+ daily active users
- Microservices migration cut MTTR from 4 hours to 30 minutes
- AI recommendation engine: +25% cross-sell uplift, +18% average order value
Led 5+ engineers across full-stack, AI/ML, and IoT. Architected enterprise systems serving 300K+ users with HIPAA-compliant healthcare, agricultural fintech, and government biometric platforms.
- Share-e-Care: WebRTC telemedicine <150ms latency, NLP medical entity extraction (94% accuracy)
- Fabtrakr: YOLOv8 defect detection (94% precision), 500+ IoT sensors, predictive maintenance (87%)
- Trade57: 100K+ daily trades, LLM negotiation, blockchain supply chain, USDC micro-lending
- SPF Biometric ID: 99.8% facial recognition, 100K+ officers, 70+ stations, zero breaches
Worked Across
the Globe
Enterprise products shipped to users across 6+ countries, spanning healthcare, fintech, government & manufacturing sectors.
6+
Countries
12+
Years Experience
10+
Enterprise Projects
Featured Projects
HIPAA-compliant telemedicine platform with WebRTC consultations, AI medical diagnostics (92% accuracy), and RAG-powered report analysis for 50K+ patients across hospitals and clinics.
AI-powered fabric quality management with YOLOv8 defect detection, 500+ MQTT sensors, predictive maintenance, and 5 mobile apps serving textile mills processing over 1M fabric rolls monthly.
Global agricultural trading platform connecting 50K+ farmers with 10K+ buyers, featuring LLM-powered negotiation, LSTM price forecasting, blockchain supply chain, and USDC micro-lending.
Multi-modal biometric verification for Singapore Police Force — 100K+ officers across 70+ stations with 99.8% facial recognition accuracy and zero unauthorized access incidents since deployment.
Constitutional law QA system with RAG pipeline, FAISS vector search, and Google Gemini — delivering 95%+ answer relevance across 30K+ users in 7+ languages with sub-second query responses.
AI hiring portal with GPT-4 resume screening, live AI interviews via WebRTC, Whisper speech-to-text, and automated candidate evaluation — reducing time-to-hire from weeks to just 3–5 days.
Multi-vendor e-commerce platform processing 10M+ monthly transactions with GraphQL APIs, ML fraud detection at 96% precision, and personalized recommendation engines for global merchants.
Modern document processing SaaS built with Next.js 15, RAG pipeline achieving 85%+ accuracy, subscription billing, and an embeddable Preact widget for seamless third-party integration.
Key Achievements
TensorFlow CNN model delivering 92% accuracy in real-time medical imaging for telemedicine diagnostics.
Multi-modal facial recognition serving 100K+ Singapore Police Force officers with zero unauthorized access incidents.
Sub-100ms real-time latency maintained across 500+ IoT sensor nodes in live textile manufacturing environments.
Cloud architecture optimization and automation delivering over $500K in infrastructure cost savings.
TensorFlow CNN model delivering 92% accuracy in real-time medical imaging for telemedicine diagnostics.
Multi-modal facial recognition serving 100K+ Singapore Police Force officers with zero unauthorized access incidents.
Sub-100ms real-time latency maintained across 500+ IoT sensor nodes in live textile manufacturing environments.
Cloud architecture optimization and automation delivering over $500K in infrastructure cost savings.
Education & Certifications
Certifications
Oracle Cloud Infrastructure
Oracle · Associate
Data Science & AI
IBM · Learnbay
Java & Android Dev
Certified Developer
AWS Cloud Practitioner
Amazon · Cloud
Certified Scrum Master
Scrum Alliance
Angular Developer
Google · Frontend
Community
Let's Build Something Great
Open to senior engineering, architecture, and technical leadership roles. Let's discuss how I can help scale your next mission-critical platform.