Full Stack Developer with 2+ year of professional experience building scalable SaaS and healthcare web applications. Comfortable across the entire product lifecycle — schema design and REST APIs to responsive frontends and AI integrations — for domains that demand precision.
💊 Freelance Full Stack Dev @ Clin Solutions L.L.C Nov 2025 – Present · USA (Remote)
🏢 Full Stack Developer @ Nexobe Sep 2024 – Sep 2025 · Illinois, USA (Remote)
🔬 Data Science Intern @ Exposys Data Labs Aug 2023 – Sep 2023 · ML Pipelines, Scikit-learn
🎓 B.E. Computer Science & Engineering — Anna University, 2020–2024
📍 Sharjah, United Arab Emirates· Open to remote & relocation
| Metric | Result | Where |
|---|---|---|
| ⚡ 40% faster load times | Frontend rendering optimizations + backend refactoring | Nexobe |
| 🛡️ 30% fewer API errors | Type-safe tRPC + TanStack Query, strict schema validation | Nexobe |
| 🗄️ 25% fewer DB queries | PostgreSQL schema optimization via Drizzle ORM | Nexobe |
| 🧩 20% less dev time | Reusable component library across SaaS products | Nexobe |
| 🌍 137+ languages | Azure AI Translation for multilingual safety reporting | AeroReporting |
| ✅ 100% E2B R3 compliant | Regulatory clinical safety reporting engine | Clin Solutions |
Frontend
Backend
AI / ML / Data
Database & Cloud
Tools
United States · Remote
- Built AeroReporting — end-to-end Adverse Event Reporting System with E2B-compliant XML/PDF generation for pharmacovigilance workflows
- Integrated Azure AI Translation API for multilingual safety reporting across 137+ languages, eliminating manual localisation
- Implemented WHODrug dictionary integration to standardise pharmaceutical terminology pipeline-wide
- Delivered production-ready features across 3+ release cycles in direct collaboration with stakeholders
Illinois, United States · Remote
- Architected SaaS dashboards with React + Chakra UI, boosting workflow efficiency by 40%
- Engineered type-safe tRPC + TanStack Query — cut API response times by 30%
- Optimised PostgreSQL schemas via Drizzle ORM — reduced redundant queries by 25%
- Built reusable component library adopted across multiple SaaS products — saved 20% dev time
- Delivered features ahead of Agile sprint milestones with 100% peer-review coverage
- Built predictive ML models using Python, Pandas, and Scikit-learn on structured datasets
- Performed EDA and visualised insights with Matplotlib and Seaborn in a team of 4
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Adverse Event Reporting System Regulatory-compliant clinical safety platform with three-tier validation engine, MedDRA hierarchy mapping, and dynamic translation across 137+ languages via Azure AI + Supabase caching. ✅ 100% E2B R3 compliant · 3+ release cycles · Production-deployed |
AI-Powered Dental SupplyOps Platform Contributed to the development of an enterprise AI platform that streamlines dental inventory management, procurement workflows, and real-time supply tracking. Built scalable type-safe tRPC APIs, responsive React dashboards, and optimized PostgreSQL schemas using Drizzle ORM for high-performance healthcare operations. ✅ Built scalable dashboards & improved API stability by 30% |
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Computer Vision · Human-Computer Interaction Built a real-time AI virtual mouse using OpenCV, MediaPipe, and Python to control the system cursor through hand gestures. Implemented hand landmark detection, gesture recognition, cursor smoothing, click detection, and touch-free interaction. ✅ Real-time hand tracking · Gesture-based cursor control |
Deep Learning · Final Year Project Developed a CNN-based computer vision system to detect and classify marine debris from ocean imagery. Built an end-to-end deep learning pipeline including data preprocessing, image augmentation, model training, evaluation, and environmental waste classification. ✅ CNN image classification · Automated marine debris detection |
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Contributed frontend engineering and component systems across multiple AI-powered products: Otteri.ai · PickeLai · Vipery.ai · Snap.photo · GoodOff — improved load times, built reusable UI systems, and integrated third-party AI APIs. ✅ 5 AI products · Improved UX and load performance across the board |
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B.E. Computer Science and Engineering 2020 – 2024
Aalim Muhammed Salegh College of Engineering · Anna University

