Huzefa Nalkheda Wala
AI Product Engineer & Medical AI Researcher
Currently at CleverFlow (UAE/India) building production-scale AI systems handling 20K+ requests/second. Creator of MedGenius LLaMA-3.2B medical model trained on 40K+ healthcare records. Patent holder for medical monitoring devices. IIT Ropar AI specialization in progress. Winner of IBM World Hack Challenge and Vadodara Startup Festival.
Professional Journey
AI Product Engineer
CleverFlow (Dubai/India)
Leading AI system development including production RAG platforms, multimodal document processing APIs, computer vision solutions, and n8n workflow integrations. Built systems handling enterprise-scale loads with sub-millisecond response times.
Software Developer
RailWorld India Pvt. Ltd.
Contributed to internal automation tools and system dashboards using modern full-stack practices. Led team development of CFlix movie streaming platform, demonstrating collaborative leadership skills.
Growth Strategist Intern
Growth Theory (Mumbai)
Conducted market research and built multi-platform digital growth strategies. Managed content initiatives across social and web platforms, gaining valuable business perspective that informs product-aware engineering.
Professional Highlights
Research & Publications
Byte Latent Transformer (BLT): The Future Beyond Tokenization
Comprehensive analysis of Meta's groundbreaking tokenization-free architecture. Explores dynamic patching strategies based on entropy for optimal compute allocation, performance comparisons with tokenization-based models like LLaMA, and practical implications for multilingual AI applications in medical contexts.
DeepSeek v2.5: Open-Source AI Revolution
In-depth evaluation of DeepSeek's revolutionary Mixture-of-Experts (MoE) architecture with 236B total parameters (21B active). Comprehensive analysis of dual chat+coding capabilities, architectural innovations, cost-efficient inference, and practical implementation considerations for enterprise applications.
Marco O1: Alibaba's Advanced AI for Open-Ended Reasoning
Detailed research review of Alibaba's Marco O1 architecture featuring Monte Carlo Tree Search (MCTS) integration for enhanced reasoning capabilities. Analysis of novel approaches to complex problem-solving, step-by-step reasoning chains, and applications in mathematical and logical reasoning tasks.
MedGenius LLaMA-3.2B: Specialized Medical AI Model
Fine-tuned LLaMA-3.2B model on comprehensive Medical Intelligence Dataset (40,443 records) using advanced LoRA/QLoRA techniques. Optimized for diagnostic assistance, medical education, telemedicine chatbots, and healthcare research. Features patient-doctor dialogue generation and medical Q&A capabilities.
Medical Intelligence Dataset: Comprehensive Healthcare Data
Meticulously curated dataset containing 40,443 structured healthcare records including disease descriptions, symptoms, treatments, medical Q&A for students, and realistic patient-doctor dialogues. Enables medical AI model training and supports healthcare NLP research community.
Explainable AI and Automation: Driving Tomorrow's World
Comprehensive analysis of AI transparency, regulatory frameworks, and ethical considerations in automation. Discusses CleverFlow's role as next-generation "Work OS" and explores workflow intelligence capabilities that differentiate modern AI platforms from legacy automation tools.
Medical Equipment Patent
"Medical Equipment for Measuring Vital Parameters of Patients" - Innovative non-invasive wearable device for real-time monitoring of ECG, SpO2, temperature, pulse, and blood pressure. Features wireless data transmission optimized for rural healthcare accessibility and emergency scenario applications.
AI Engineering Guide: Foundations to Fine-tuning
Comprehensive learning roadmap synthesizing current AI research trends and best practices. Educational resource covering model training methodologies, fine-tuning techniques, and practical implementation strategies for aspiring AI engineers and practitioners.
Community Impact
Education & Specialization
Technical Expertise
AI/ML Specialization
LLaMA fine-tuning, LoRA/QLoRA, Medical AI
Vector search, BGE embeddings, Faiss
OpenCV, Image processing, Plan analysis
Production Systems
FastAPI, PostgreSQL, Redis, 20K+ req/sec
WebSockets, JWT auth, Microservices
Docker, Git, Enterprise deployment
Healthcare AI
40K+ dataset curation, Medical NLP
Wearables, TinyML, Remote monitoring
Diagnostic AI, Patient-doctor dialogue
Technical Projects
MedGenius LLaMA-3.2B
Personal Research • Open Source
Fine-tuned LLaMA-3.2B on custom Medical Intelligence Dataset (40K+ records) using LoRA/QLoRA techniques. Specialized for diagnostic assistance, medical education, and telemedicine applications.
AI-Powered Customer Support Platform
CleverFlow
Production-grade RAG system handling 20K+ requests/second with sub-millisecond vector search. Implemented semantic search using BGE embeddings and Faiss for real-time customer support.
DocsAI - Document Processing API
CleverFlow
Multimodal AI system achieving 90%+ accuracy in parsing complex regional documents (UAE IDs, business licenses). Combines OpenCV and Google Gemini 1.5 for enterprise automation.
Floor Plan Inspector
CleverFlow
Computer vision engine for architectural plan comparison and modification detection. Streamlines compliance workflows for urban planning and construction teams.
CleverFlow n8n Integration
CleverFlow
Node.js/TypeScript plugin connecting CleverFlow to 3000+ third-party applications. Features live form mapping and automated workflow triggers for enterprise automation.
PHMS Medical Device
Patent • Government of India
Non-invasive wearable device for measuring vital parameters (heart rate, blood pressure, temperature) with real-time transmission for remote patient monitoring in rural healthcare settings.
AI-Recruiter
IBM Hack Challenge Winner
AI-powered recruitment screening system using IBM Watson Assistant to streamline candidate evaluation process. Winner of IBM World Hack Challenge 2020.
CFlix Movie Streaming Platform
RailWorld India
Full-stack movie streaming application with external API integration (TMDB, OMDB). Led team development demonstrating collaborative leadership in software development.
CLINORA Healthcare App
Student Startup
Comprehensive healthcare platform with AI symptom checker, live token tracking, payment integration, and digital prescription system for streamlined patient experience.
Medical Intelligence Dataset
Open Source • Kaggle & Hugging Face
Curated comprehensive healthcare dataset with 40,443 records including disease descriptions, symptoms, treatments, medical Q&A, and patient-doctor dialogues for AI model training.
COVID Support Bot
Pandemic Response Initiative
Comprehensive COVID-19 information platform providing resources including E-passes, essential services, hospital details, and NGO support across 14+ categories.
Achievements & Recognition
Vadodara Startup Fest Winner
2022 • 1st Rank
Secured 1st place among 250+ startups with 25,000+ participants at university-level competition with PHMS medical device innovation.
IBM World Hack Challenge
2020 • Winner
Winner of IBM World Hack Challenge for AI-Recruiter project using IBM Watson Assistant for automated candidate screening and recruitment optimization.
IIT Ropar AI Minor
2024-2025 • In Progress
Selected for prestigious Minor in Artificial Intelligence at IIT Ropar, covering advanced topics including TinyML, LLMs, RAG systems, and Reinforcement Learning.
Medical Equipment Patent
2022 • Government of India
Filed patent for "Medical Equipment for Measuring Vital Parameters" - innovative wearable device for remote patient monitoring in rural healthcare settings.
Open Source Impact
2024 • Community Recognition
Released MedGenius LLaMA-3.2B and Medical Intelligence Dataset (40K+ records) on Hugging Face and Kaggle, contributing to medical AI research community.
Thought Leadership
2024 • Publications
Published technical analyses on cutting-edge AI models including BLT, DeepSeek v2.5, and Marco O1, with 3K+ LinkedIn followers and community engagement.
Key Learnings
My journey in AI product engineering and medical AI research has been about turning advanced algorithms into real impact. From building healthcare AI solutions to scaling production AI systems, I've learned that true progress comes from combining technology with purpose.
Innovation comes from real needs
AI creates value only when it addresses practical challenges, such as designing datasets where medical dialogues reflect real doctor–patient interactions in healthcare.
Failures fuel progress
Training large language models on TPUs often failed, but each attempt offered insights that led to stable fine-tuned models.
Simplicity scales
While developing scalable AI systems at CleverFlow, simplifying workflow architecture proved more effective than over-engineering.
Collaboration drives breakthroughs
My medical equipment patent emerged only by working directly with healthcare professionals to solve real clinical gaps.
Balance is key
Scaling systems to handle 20K+ requests/second taught me that accuracy, efficiency, and cost must align for true scalability.
Documentation multiplies value
Publishing the Medical Intelligence Dataset (40K+ rows) with detailed documentation turned a personal project into a community resource.
Feedback shapes solutions
Real-world testing with doctors and students revealed insights no dataset alone could provide, helping refine trustworthy AI in healthcare applications.
Continuous learning sustains growth
From experimenting with LoRA/QLoRA fine-tuning to exploring computer vision in diagnostics, adaptability has been my strongest asset.
These learnings continue to shape how I design, scale, and optimize AI for healthcare and enterprise—ensuring every project contributes to meaningful, real-world outcomes.
Let's Build the Future of AI Together
Currently advancing AI research at CleverFlow while pursuing IIT Ropar AI specialization. Open to collaborations in medical AI, healthcare technology, LLM research, and innovative product development. Always excited to discuss cutting-edge AI architectures and their real-world applications.
Current Focus Areas:
- • Medical AI & Healthcare Technology Innovation
- • Production-Scale RAG Systems & Vector Search
- • LLM Fine-tuning & Specialized Model Development
- • Computer Vision Applications in Enterprise
- • AI Ethics & Explainable AI Research