AI Engineer • Researcher • Builder
Building reliable AI systems for real products.
I help startups, research teams, and established organizations build dependable AI systems, from computer vision and edge AI to LLM agents, RAG, multimodal applications, and production deployment.
Best for founders and teams evaluating AI strategy, delivery, or product direction.
Dr. Naveed Khan BalochAvailable for consulting, fractional AI leadership, and build partnerships.
OpenAILangGraphRAG
PyTorchOpenCVNVIDIA Jetson
PythonAPIsSupabase
DockerAWSCoolify
Proof of work
Results
Years Building
AI systems, software products, and applied research
Published Work
Peer-reviewed papers in intelligent computing
Delivery Footprint
Remote collaboration with international teams
About
Bridging research depth with business-ready execution.
My work sits at the intersection of AI research, product strategy, and engineering delivery. I design systems that are explainable, scalable, and useful in the real world, spanning computer vision, edge deployment, multi-agent workflows, retrieval-augmented generation, multimodal AI, evaluation pipelines, and AI product roadmaps.
PhD in Computer Engineering20+ peer-reviewed publicationsTop-Rated AI Engineer50+ AI projects supervised
- Built production AI systems for clients across the USA, Canada, and Europe.
- Developed object detection, image segmentation, pose estimation, activity recognition, and video analytics systems for edge hardware.
- Improved radiology impression generation by 12% in ROUGE-L against reported literature benchmarks, with clinical expert validation.
- Led academic research and mentorship while staying hands-on with modern AI delivery.
- Supervised more than 50 AI-driven student projects across computer vision, healthcare AI, NLP, robotics, and machine learning.
- Designed healthcare, EdTech, recruitment, and automation products with measurable outcomes.
- Comfortable across architecture, experimentation, APIs, deployment, and stakeholder communication.
Projects
Featured work
A focused selection of AI products with live demos, case studies, and practical workflows.
Research AutomationAI Research Reviewer
Researchers upload manuscripts and receive structured AI feedback before journal, conference, or supervisor submission.
Product capabilities
Read case study Manuscript ReviewReviewer ConcernsReview HistoryDownloadable Reports
Voice AI for RestaurantsFreja AI
Restaurant teams use AI voice ordering to answer calls, capture multilingual orders, and route kitchen-ready tickets.
Product capabilities
Read case study Voice OrderingMultilingual CallsKitchen TicketsCall Analytics
Adaptive Learning PlatformLearnoviaX
Personalized learning paths, quizzes, progress tracking, and AI tutor agents guide students toward measurable mastery.
Product capabilities
Read case study Adaptive PathsAI Tutor AgentsQuizzesCertificates
Hiring IntelligenceInterveuu
Recruiters manage job posts, screen resumes, run AI interviews, and review candidate reports from one hiring workspace.
Product capabilities
Read case study Resume ScreeningAI InterviewsCandidate RankingsPDF Reports
Healthcare AIClinIQ Assist
Source-grounded clinical knowledge, speech input, and safety-aware summaries come together for clinician support workflows.
Product capabilities
Read case study Clinical RAGSpeech InputSource GroundingSafety Boundaries
Hospitality SaaSBokafy
Conversational booking flows connect guest reservations, real-time availability, and staff table management.
Product capabilities
Read case study AI BookingTable ManagementGuest ChannelsReservation Dashboard
Computer Vision & Mobile Health AIYogAsana AI
Real-time yoga posture correction, biomechanical alignment tracking, and joint-strain detection run directly on mobile hardware.
Product capabilities
Read case study Real-Time Pose EstimationEdge Computer VisionMobile Fitness SaaSJoint Safety Guidance
Services
What I do
01
AI Product Strategy
Roadmapping the right product and workflow before expensive implementation begins.
- Use-case prioritization
- Architecture recommendations
- Evaluation and rollout plans
02
LLM and Agent Systems
Building robust copilots, RAG pipelines, and autonomous workflows that support real operational use.
- Multi-agent orchestration
- Retrieval and tool use
- Guardrails and observability
03
Custom AI Delivery
Shipping full-stack AI products, APIs, and dashboards with deployment and iteration in mind.
- Backend APIs
- Data integrations
- Cloud-ready deployment
04
Computer Vision & Edge AI
Developing real-time visual intelligence for video, robotics, healthcare, and resource-constrained edge devices.
- Detection and segmentation
- Pose and activity recognition
- NVIDIA Jetson deployment
Experience
Experience
2018 - Present
AI Engineer (Top Rated)
Upwork
Architecting end-to-end computer vision, NLP, LLM, RAG, agentic AI, voice, booking, interviewing, and business automation systems for international clients.
2021 - Present
AI and NLP Engineer
SkillSoft
Architecting curricula, technical labs, and hands-on learning experiences in generative AI, machine learning, NLP, deep learning, MLOps, and production-oriented AI development.
2022 - Present
Co-Principal Investigator, SWARM Robotics Lab
UET Taxila
Leading computer vision, edge AI, swarm robotics, drone perception, pose and activity recognition, video analytics, and NVIDIA Jetson research from experimentation through deployment.
2012 - Present
Assistant Professor
UET Taxila
Researching and teaching AI, deep learning, computer vision, NLP, edge AI, and intelligent systems while supervising 50+ AI-driven student projects and publishing 20+ peer-reviewed papers.
2024 - Present
AI Consultant
Bluell AB
Architecting LLM- and IoT-enabled automation, real-time edge monitoring, data pipelines, and event-driven intelligent decision systems for Swedish industrial partners.
Mar 2022 - Jan 2023
Computer Vision / Generative AI Engineer
Augmented Startups
Developed GAN-based computer vision applications, neural style transfer, image super-resolution, photo enhancement, and deep learning experiments for visual generation and transformation.
Jan 2022 - Dec 2022
NLP Engineer
Synthesis Health
Led a Transformer-based radiology assistant that generated clinical impressions from findings, improving ROUGE-L by 12% over reported benchmarks and incorporating clinical human-in-the-loop validation.
Approach
My approach
Phase 1
Discovery & AI Architecture
I translate the business or research problem into a practical AI roadmap, defining data needs, success metrics, model and tool choices, system architecture, safety boundaries, and a clear path from prototype to production.
Phase 2
Development & Evaluation
I build and evaluate the core AI application, whether it involves computer vision, LLMs, RAG, agents, multimodal workflows, or edge AI, using measurable experiments, iterative validation, API integrations, and regular progress reviews.
Phase 3
Production Deployment & Iteration
I package the validated system into a reliable production workflow using APIs, Docker, cloud or edge infrastructure, monitoring, and human-in-the-loop controls, then refine it using real-world performance and stakeholder feedback.
Principles
Delivery principles
Client-First Approach
I shape each project around your objectives, communicate clearly, and focus on outcomes that create real value.
Modern Tech Stack
I work with current AI and engineering tools so the systems I build are practical, scalable, and maintainable.
AI-Powered Solutions
I design intelligent workflows, retrieval systems, and agentic automation that improve speed, quality, and decision-making.
Global Flexibility
I collaborate remotely across time zones with a process that stays responsive without sacrificing delivery quality.
Ready to Collaborate
Fast onboarding, clear milestones, and a partnership mindset make it easier to move from idea to execution.
Testimonials
Client feedback
“A great research scientist to work with.”
“Delivered exactly what we needed and communicated clearly throughout the project. Very reliable and thoughtful in his approach.”
“Strong technical depth, quick to understand requirements, and professional from start to finish. I would gladly work with him again.”
Contact
Let's build together
Let's discuss your idea, architecture, or current implementation and shape the next phase with clarity.