Hire the Best Artificial Intelligence Engineers in Ahmedabad, IN

Healthcare AI built by an engineer who knows buyers are right to filter out generalists. Medical imaging on DICOM, clinical NLP that handles negation and hedging, HIPAA-aware PHI pipelines, patient-facing apps that respect privacy for hospitals, radiology centres, pharma R&D, CROs, medical device makers, health-tech teams. I work with the Brainy Neurals team as the healthcare-AI engineer. My focus sits between "we have clinical data" and "validated AI helping clinicians" model design, PHI handling under your BAAs, on-prem vs cloud, validation against radiologist ground truth, shipping into EHR or device workflow. WHAT I BUILD / IN HEALTHCARE Medical imaging AI — DICOM ingestion, de-identification per Safe Harbor, organ and lesion segmentation on CT and MRI, abnormality detection, NIfTI and ITK pipelines, 3D Slicer. Built on MONAI, nnU-Net, TotalSegmentator, RadImageNet, validated against radiologist consensus. Clinical NLP and document AI note summarisation, ICD and SNOMED mapping, negation and hedging, family-vs-patient history disambiguation, medication extraction, lab-report parsing, prescription OCR. The grammar of clinical text is its own thing; I treat it accordingly. Pharma and clinical research clinical protocol to eCRF extraction (demographics, vitals, inclusion-exclusion, study-arm), systematic review using RoB2, GRADE, PRISMA, citation validation, batch record digitisation, evidence assembly. Patient-facing apps GI symptom-trackers with AI food and lifestyle recommendations, diabetic and gut-condition dish-suggestion, telehealth onboarding, chronic-care intake, mental-health support. Flutter or React Native fronts, FastAPI backends. Hospital workflow AI appointment automation, triage, hand-hygiene monitoring, fall-detection in wards (pose-based, no face recognition), bed-occupancy. THE STACK / FOR MEDICAL & PHARMA Imaging: MONAI, DICOM, NIfTI, ITK, 3D Slicer, nnU-Net, TotalSegmentator, RadImageNet, modality fusion. Clinical NLP and docs: Docling for medical PDFs, DocTR and TR-OCR for prescription and lab OCR, GPT-4o multimodal for complex layouts, Claude and Gemini for clinical reasoning, regex and Pydantic validation, NegEx-style negation with LLM verification. Knowledge: Neo4j for clinical knowledge graphs (drug-drug interaction, condition-symptom, contraindications). pgvector or Qdrant for medical literature. RAG over institutional protocols, authoritative sources only. Infrastructure: FHIR and HL7 v2 with EHRs, OMOP CDM for research, FastAPI for clinical APIs, Flutter and React Native for patient apps, AWS and Azure inside client BAAs, on-prem Ollama and vLLM where data cannot leave. WHO I BUILD FOR Hospitals and clinics radiology AI, patient-flow analytics, EHR decision support, ward-safety. Radiology centres, DICOM pipelines, organ and lesion segmentation, second-read AI, reporting integration. Pharma R&D and CROs clinical protocol extraction, systematic review, eCRF generation, evidence assembly. Medical device (pre-clearance) model prototyping, validation harnesses, dataset curation. I do not claim FDA-cleared deliverables; I build the substrate that goes through your regulatory team. Telehealth and health-tech patient intake, AI triage, multilingual symptom-checker. Specialty practices dental, dermatology, gastroenterology, oncology, mental health. Specialty-tuned models on small datasets. Health insurance claim review, prior-auth triage, appeals support, evidence extraction. HOW I WORK / WITH HEALTHCARE BUYERS Discovery is a 30-minute call: data sources, clinical workflow, compliance posture (HIPAA, GDPR, local). By the end I tell you whether the use case is feasible, validation plan, where ground truth comes from, how PHI flows. If it touches a regulated device pathway, I tell you what is in scope for me and what your regulatory team owns. Pricing is fixed-scope per milestone feasibility, dataset and PHI design, model build, validation, integration handoff. Hourly only for maintenance after deploy. THE BRAINY NEURALS BACKING I work with the Brainy Neurals team 15 AI engineers, NVIDIA Inception Partner, AWS Activate, Microsoft for Startups. When a project needs ward-monitoring cameras, edge deployment on hospital hardware, RAG over clinical docs, or workflow automation around the AI, that capacity sits with the team I bring them in cleanly, you do not manage multiple vendors. For pure healthcare model and clinical-NLP work I lead end to end myself. LET'S TALK / IF You are inside healthcare or pharma, you have a clinical workflow AI can genuinely help with, you understand the validation and compliance work this requires, and you want a senior engineer who has built medical imaging, clinical NLP, and patient-facing apps before not a generalist learning HIPAA on your project. Tell me your data, workflow, compliance. I reply within 24 hours with feasibility, validation approach, milestones.

Custom-trained AI vision systems that detect manufacturing defects, count warehouse stock, protect retail floors from theft, and inspect garments for fabric flaws built for industrial buyers who need a vision model that actually works on their data, not a generic demo. I work with the Brainy Neurals team as the model-builder for industry-applied computer vision. My focus is the layer between "we have cameras" and "we have actionable detection" collecting the dataset, annotating it, training the model, evaluating it against real production conditions, shipping it as a working system. WHAT I BUILD Defect detection and quality inspection surface scratches, weld defects, packaging flaws, print errors, missing components, assembly mis-orientations, fabric defects, garment inspection. Custom-trained YOLO and segmentation models on your production images, evaluated on the edge cases that matter for your defect distribution. Retail analytics and loss prevention footfall counting, dwell-time heatmaps, queue analytics, planogram compliance, shelf-out detection, theft and shoplifting detection, restricted-zone intrusion, customer journey mapping. Runs on existing store cameras. Warehouse and logistics vision pallet counting, dock monitoring, SKU recognition, package counting on conveyors, forklift safety zones, PPE compliance (helmet, vest, gloves, harness), worker fall detection. Reduces shrinkage, audit exposure, safety incidents. Textile and apparel inspection fabric defect detection across woven, knit, and non-woven materials. Holes, stains, weave faults, print misregistration, colour variation, missing stitches, garment QC at finishing. Sports analytics player tracking with persistent IDs, ball detection, action recognition (shots, passes, fouls, rebounds), zone-aware scoring, jersey-digit recognition, highlight clips. Healthcare and patient safety fall detection in wards and assisted living, gait analysis, hand hygiene compliance, bed occupancy, restricted-area monitoring. Pose-based detection without face recognition where regulation requires. THE STACK I USE YOLOv11 and YOLOv12 when throughput matters; RT-DETR and Mask R-CNN when precision matters more than speed; SAM and Grounding DINO when datasets are small and zero-shot bootstrapping helps. Tracking is ByteTrack or DeepSORT depending on occlusion. Pose uses MediaPipe and custom keypoints. Foundation: PyTorch, OpenCV, ultralytics, timm, albumentations. Annotation and dataset work is where most CV projects quietly fail. I work with Roboflow, Label Studio, CVAT, and build custom tooling when off-the-shelf options corrupt formats. Datasets version-controlled. Edge cases sampled deliberately. Class imbalance handled with focal loss, augmentation, or class-aware sampling. Evaluation goes beyond mAP. I report precision, recall, F1, confusion matrices on rare classes, and false-positive rates at the operating threshold you care about. If your cost of a false positive differs from a false negative, the model is tuned for that asymmetry. WHO I BUILD FOR Manufacturing automotive, electronics, food and beverage, pharma packaging (blister packs, labels). Industry 4.0 quality, MES, OEE teams. Warehouses and 3PLs pallet count automation, dock-to-stock, shrinkage reduction, returns inspection. Retail fashion, grocery, big-box, convenience. Loss prevention, store ops, planogram, customer-experience teams. Textile and apparel fabric mills, garment factories, finishing units, brand QA. Sports broadcast, performance analytics, training instrumentation. Construction and AEC progress detection, structural element counting, site safety, drone inspection. Healthcare patient fall prevention, ward safety, hand hygiene, infection-control compliance. HOW I WORK Projects start with a 30-minute call where I look at sample images or video from your environment. I tell you whether a model can do what you want, dataset size needed, realistic accuracy ceiling, and where the model will fail. I would rather decline than over-promise on a dataset that cannot support it. Pricing is fixed-scope per milestone annotation, baseline training, evaluation, retraining, integration handoff. Hourly only for maintenance after shipping. THE BRAINY NEURALS BACKING I work with the Brainy Neurals team 15 AI engineers, NVIDIA Inception Partner, AWS Activate, Microsoft for Startups. When a project needs camera infrastructure, edge deployment, or multi-camera coordination, that capacity sits with the team I bring them in cleanly, you do not manage two vendors. For pure model-building I lead end to end myself. LET'S TALK IF You have images or video from your environment, you know what you want detected, and need a model trained on YOUR data not a generic detector that misses 30% of edge cases. Send a sample with your first message. I reply within 24 hours with a feasibility read, dataset size, timeline.

I am a qualified mechanical engineer and an accomplished writer with comprehensive experience in developing rich and compelling content for a diverse set of personas. Over a span of 13 years, I have authored numerous articles on a wide range of technical topics published on leading online editorials such as Interesting Engineering, Machine Design, Design World, Processing Magazine, BIM+, and more. I also had the opportunity to develop original, well-researched articles, whitepapers, webpage copies, and thought leadership articles on Artificial Intelligence, Quantum Computing, String Theory, Mathematics, Physics, and many more. Additionally, I've also worked with leaders in Cloud Technology, Data Analytics, Industrial Internet of Things (IIoT), and Building Information Modeling (BIM) space to develop high-quality content targeted towards a range of audiences, including CEOs, CTOs, Managers, and more.

Technology should solve business problems, not create new ones. For more than 15 years, I've been helping startups, SMEs, and growing businesses design, build, and modernize software solutions that automate operations, enhance customer experiences, improve efficiency, and support long-term growth. Rather than simply building software, I work closely with clients to understand their business objectives, identify operational challenges, and recommend practical technology solutions that deliver measurable outcomes. Whether you're looking to validate an idea, build an MVP, launch a new product, modernize an existing platform, integrate AI into your business, or automate complex workflows, my focus is on delivering scalable, maintainable solutions that align with your business strategy and support long-term growth. I personally lead solution architecture, technical planning, project execution, and client communication while working alongside an experienced team of software engineers, UI/UX designers, QA specialists, DevOps engineers, and AI experts to ensure successful delivery. My Technology & Solution Expertise • Custom Software Development • SaaS Product Development • Web & Mobile Application Development • Enterprise Applications (ERP, CRM & Operations Platforms) • AI Consulting & Intelligent Automation • AI Agents & Voice AI Solutions • Generative AI & LLM Applications • Retrieval-Augmented Generation (RAG) • Workflow Automation & Business Process Optimization • API Integrations & System Integrations • Cloud Architecture & DevOps • Business Intelligence & Data Analytics I've worked with organizations across Industries, including: • Healthcare (Telemedicine Platforms, Appointment Scheduling & Digital Wellness Solutions) • Hospitality (FF&E Procurement & Project Management Platforms) • Logistics & Transportation (Courier Management & Delivery Applications) • Education (Learning Management Systems, AI-Powered Educational Platforms) • Financial Services (AI Observability for Financial Platforms) • Retail & eCommerce (eCommerce Platforms, AI Recommendation Systems & Customer Engagement Solutions) • Utilities & Field Services (Service Management & Field Workforce Applications) What you can expect when working with me: • Business-first Technology Consulting • Clear and Transparent Communication • Scalable and Maintainable Solutions • Milestone-driven Delivery • Long-term Business Affiliation If you're looking for an experienced technology consultant and partner who combines strategic thinking, strong technical leadership, and a structured delivery approach, I'd be happy to learn about your goals, discuss your project, and recommend the most practical path forward.

I help startups and businesses build scalable products fast - from Bubble MVPs and AI automations to full-stack web applications with Python and React. I work on both new builds and existing systems. Whether you need a product built from scratch, workflows optimized, APIs integrated, or a slow application fixed, I focus on building systems that are reliable, scalable, and maintainable long-term. My biggest strength is system architecture and backend thinking. I design clean database structures, scalable workflows, and efficient API integrations before development starts - because most performance problems in Bubble applications come from poor architecture decisions early on. I have worked on live production systems, fixing slow page loads, broken workflows, inefficient database queries, and scaling issues. One of the applications I worked on scaled to 39,000+ active users, which taught me how real users behave at scale and how to build systems that can handle growth properly. My technical stack includes Bubble, Python, React, Django, n8n, AI automations, RAG pipelines, and integrations with tools like OpenAI, ElevenLabs, Twelve Labs, FAL.ai, and 25+ third-party. I approach every project by understanding the business problem first, then building the right technical solution around it.

I am not just an AI Engineer; I am a storyteller who connects the dots between complex data and business growth. With 5 years of hands-on experience and a robust academic foundation in Statistics and Engineering, I specialize in building AI systems that don't just work they innovate. Why work with me? I don’t just deliver code; I translate your high-level business needs into high-performing, production-ready AI systems that solve real-world bottlenecks. My Core Expertise: - AI Solutions: Text analysis & image recognition - AI Search: Smarter answers with RAG & advanced prompt design - Custom AI Models: Tailored GPT, Gemini, LLaMA, Claude & more - Vibe Coding: Cursor, Lovable, Antigravity, etc.. - AI Workflows: Multi-agent automation for complex tasks - Voice AI: Text-to-speech & speech-to-text (AWS, Google, Azure) - AI Visuals: From idea to image using DALL·E, Midjourney, Stable Diffusion - Automation: Zapier, Make, n8n & custom workflows - Smart Pipelines: Event-driven triggers, error handling & smooth operations AI Agents & Chatbots: I build sophisticated multi-agent and RAG frameworks. Examples include E-commerce virtual associates that drive sales and POS customer support agents that handle complex queries autonomously. Text-to-SQL & Analytics: I enable non-technical users to "talk to their data," providing instant, natural-language insights into sales, inventory, and KPIs. Intelligent Automation (n8n): I streamline operations by eliminating repetitive tasks. My AI-powered HR Agent workflow automatically parses, scores, and ranks candidates to find your "best fit" instantly. Computer Vision & OCR: Expert in YOLO and Qwen2.5-VL. I automate data entry from handwritten or digital invoices directly into structured JSON for accounting and inventory software. Full-Stack AI Deployment: I take models from notebooks to production. Expert in the full AI lifecycle, including MLOps, containerization (Docker), and scalable cloud deployment on GCP. The Toolbox: Frameworks: PyTorch, Keras, TensorFlow, Scikit-learn, OpenCV. LLM Ops & Orchestration: LangChain, LangFlow, DSPy, OpenAI API, Apple MLX. Deployment: Docker, GCP, MLOps pipelines. I am dedicated to delivering results that exceed expectations always on time and within budget. Let’s build your success story. Click the 'Invite' button to start a conversation!