AI Specialist, Software Engineer, and Bioinformatician. Building intelligent systems at the intersection of machine learning, computational modeling, and human performance.
I'm Najeeb Ahmed Altorkmani — a multidisciplinary engineer who operates at the convergence of artificial intelligence, computational modeling, bioinformatics, and software engineering. With a Harvard scholarship in Bioinformatics and a near-perfect GPA in IT Software Engineering, I bring analytical depth and creative precision to every system I architect.
My expertise extends deeply into AI and machine learning — from building predictive models and neural networks to deploying intelligent automation systems. I'm equally proficient in modeling and computational design, creating visualizations, simulations, and digital assets that bridge the gap between abstract data and tangible form.
As a certified personal trainer (ISSA & NASM) with formal nutrition credentials, I apply the same data-driven rigor to human performance — measuring, modeling, and optimizing outcomes with scientific precision.
I'm the founder and owner of TechsVision — an agile, production-focused coding and design team. We architect digital solutions from the ground up, prioritizing clean logic, high performance, and exceptional user experiences.
From greenfield architecture to scaled delivery, TechsVision operates where engineering rigor meets design sensibility — and increasingly, where AI meets product: model-driven features, intelligent automation, and data-backed UX shipped under real-world load.
Architecture that reads like good prose — maintainable, tested, deliberate.
Built for real-world load — fast, observable, and resilient under pressure.
Tight feedback loops, specialized talent, shipping cadence over ceremony.
Exceptional experiences engineered in — not applied as a finish coat.
My work in artificial intelligence spans the full spectrum — from training custom neural networks and building predictive analytics pipelines to deploying LLM-powered applications and intelligent automation systems. I don't just use AI tools; I architect them.
In modeling and computational design, I create precise digital representations — whether it's molecular visualizations for bioinformatics research, architectural simulations, or product prototypes. My modeling work bridges scientific accuracy with visual clarity.
Each domain is backed by formal credentials, hands-on execution, and a commitment to evidence-based, measurable outcomes.
End-to-end AI solutions — from data preprocessing and model training to deployment and monitoring. Specializing in predictive analytics, computer vision, and LLM-powered applications.
Full-stack development, system architecture, and cybersecurity — building robust, scalable applications from concept to production with clean, maintainable code.
Creating molecular models, and computational simulations. Bridging scientific data with compelling visual narratives and digital prototypes.
Integrating computational techniques with biological research — genomic data pipelines, statistical modeling, and publication-ready visualization for scientific discovery.
A curated stack spanning AI/ML frameworks, engineering tools, modeling software, and scientific computing — chosen for depth, not novelty.
As an ISSA & NASM certified personal trainer with a formal diploma in Nutrition & Fitness, I combine data-driven methodology with practical coaching. Programming is periodized, nutrition is macro-aligned, and progress is measured — never guessed.
Whether the goal is strength, physique transformation, or athletic performance, the method is identical: assess → program → execute → measure → refine. Every block is a controlled experiment.
Structured meso/micro-cycles — volume and intensity calibrated to adaptation curves and recovery capacity.
Macro-periodization aligned to training phase — surplus for growth, deficit for composition, precision for sport.
Systematic load increases tracked across sets, reps, and RPE — the non-negotiable driver of adaptation.
Sleep, HRV, and subjective markers feed back into autoregulation — intensity adjusts to readiness, not ego.
Intelligent task-management system powered by ML algorithms for optimal scheduling and productivity analytics.
Tracking app for weightlifters — log workouts, calculate plate loads, and follow progression curves over time.
Comprehensive clinic management — patient records, scheduling, assessments, and reporting.
End-to-end management for rehabilitation centers — treatment plans, progress tracking, and staff coordination.
Full-featured personal-training platform: workout programming, client management, and progress analytics.
ML model forecasting fatigue and readiness from session data — auto-adjusts volume for safe progression.
A repeatable framework that turns ambiguity into working systems. Every phase has a defined output and a decision gate.
Understand the problem deeply — constraints, stakeholders, success metrics. Map the territory before drawing the route.
System design, data models, and interface contracts. The blueprint that makes implementation fast and correct.
Tight feedback loops. Ship small, measure often. Every sprint produces something runnable and reviewable.
Production deployment with observability. Post-launch monitoring, performance tuning, and iterative refinement.