Hire the Best Certified AWS Machine Learning Engineers

Hello, I am investing all my time and resources in Upwork ☝ ✅ AWS Certified Solutions Architect Professional ✅ AWS Certified Solutions Architect Associate ✅ AWS Certified Cloud Practitioner I can train, fine tune and deploy production-ready Machine Learning models. *** Degrees *** ✅ Master degree in Automation and Control systems ✅ Bachelor's degree in Engineering Physics. *** Skills *** ➩ AI\Machine Learning--(Scikit-Learn, TensorFlow,HuggingFace,Pytorch) ➩ Programming Languages : Python, C#, Matlab ➩ Microcontrollers--(Raspberry Pi, Arduino) ➩ Mobile Development --(Xamarin) I have experience in hardware as well as the software side of project development. My experience in details is following : AI\Machine Learning 5 years of experience in AI\Machine Learning include: ⬣ PROGRAMMING LANGUAGES : Python, MATLAB ⬣ ML/DL LIBRARIES : TensorFlow, Scikit-Learn, Keras, Pandas, Numpy, OpenCV,Pytorch, HuggingFace ⬣ COMPUTER VISION : 2D,3D Object detection/tracking/pose estimation ⬣ Creating regression and similarity search models *** Certificates*** ✅ AWS Certified Solutions Architect Professional ✅ AWS Certified Solutions Architect Associate ✅ AWS Certified Cloud Practitioner ✅ IELTS certificate Overall Band Score 7.0 Reading 8.5 Writing 6.5 Listening 6.0 Speaking 6.5 ------------------------------------------------------------------------------------------- I AM READY TO IMPLEMENT YOUR PROJECT AND CONVERT YOUR IDEAS INTO A REALITY!

🚀 🥇 Expert-Vetted Talent | Principal AI/ML | GenAI, LLM, RAG, Fine-tuning, Cloud(Azure, AWS, GCP) | Healthcare & FinTech I transform complex business challenges into cutting-edge AI solutions. With 15+ years leading AI/ML initiatives and a Doctor of Philosophy in Machine Learning from Iowa State University, Master's in Computational Neuroscience from UC San Diego, I deliver production-ready GenAI systems that drive measurable ROI. ✅ What I Offer: • GenAI & LLM Solutions: Custom GPT fine-tuning, prompt engineering, multi-agent systems, RAG architectures • Production AI Systems: End-to-end ML pipelines, MLOps, model deployment at enterprise scale • Healthcare AI: Clinical trial automation, medical document generation, HIPAA-compliant solutions • AI Strategy & Architecture: Technical roadmapping, proof-of-concepts, AI transformation leadership • Full-Stack AI Development: Python, PyTorch, TensorFlow, AWS, GCP, Azure, Vector DBs, Kubernetes 🎯 Recent Achievements: • Built AI system processing 100K+ clinical trials for pharma enterprise, enabling intelligent Q&A and benchmarking • Developed GenAI platform generating 100+ page clinical trial protocols with 95% accuracy • Led 60+ engineer team delivering first commercial AI healthcare product at ResMed (NYSE: RMD) • Created $1M+ revenue AI products in first year at multiple startups • Secured $3.5M+ funding through strategic AI product development 💼 Industry Expertise: • Healthcare/Pharma: Clinical trials, EHR integration, medical AI, FDA-regulated software • FinTech: Real-time fraud detection, risk assessment, payment processing systems • Enterprise SaaS: Multi-tenant architectures, API development, scalable AI services • Retail/E-commerce: Recommendation engines, inventory optimization, customer analytics 🔧 Technical Stack: AI/ML: GPT-4/5, Claude, Llama, BERT, Transformers, Fine-tuning, RLHF, RAG, Vector Databases Languages: Python, JavaScript, TypeScript, Java, Ruby, Go, SQL Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain, Scikit-learn, FastAPI Cloud/DevOps: AWS (SageMaker, Lambda, ECS), GCP (Vertex AI), Azure, Kubernetes, Docker Databases: PostgreSQL, MongoDB, Redis, Elasticsearch, Pinecone, Weaviate, ChromaDB Tools: MLflow, Weights & Biases, Git, CI/CD, Jupyter, Streamlit 📊 Quantifiable Impact: • 73% engagement increase for nonprofit youth chatbot with emotional intelligence • 94% accuracy in crisis detection for at-risk populations • 10X growth in subscriber base through AI-driven optimizations • 100+ pages of medical documents generated with regulatory compliance • $100K+/month revenue generated through ML-powered ad targeting 🎓 Credentials: • M.Sci. Computational Neuroscience - UC San Diego • IBM Certified: RAG and Agentic AI • Deep Learning Specialization - Coursera • Published researcher in AI/ML (Psychological Science, ICSE) • 4 provisional patents in AI/computer vision 🌟 What Sets Me Apart: Unlike typical developers, I combine deep technical expertise with business acumen from leading multiple successful startups. I don't just build models – I architect complete AI ecosystems that scale, comply with regulations, and deliver measurable business value. My neuroscience background provides unique insights into building truly intelligent systems that understand human behavior and needs. 📋 Services I Provide: • Custom LLM fine-tuning and deployment • RAG system architecture and implementation • Multi-agent AI system development • Healthcare AI and medical document automation • AI-powered data extraction and processing • Computer vision and image analysis solutions • Production ML pipeline development • AI strategy consulting and roadmapping • Technical due diligence for AI projects • Team mentoring and AI capability building 🤝 Working With Me: I pride myself on clear communication, translating complex AI concepts into actionable business strategies. Whether you need a production-ready AI system, strategic guidance, or technical leadership, I deliver solutions that exceed expectations. I'm available for both short-term projects and long-term engagements. Ready to transform your business with AI? Let's discuss how I can help you leverage the latest in GenAI, LLMs, and machine learning to achieve your goals. Keywords: Artificial Intelligence, Machine Learning, Deep Learning, GenAI, Generative AI, ChatGPT, GPT-4, GPT-5, Large Language Models, LLM, Fine-tuning, RAG, Retrieval Augmented Generation, RLHF, Vector Database, Embeddings, Transformers, NLP, Computer Vision, PyTorch, TensorFlow, Python, AWS, GCP, Azure, Healthcare AI, FinTech AI, MLOps, AI Architecture, Prompt Engineering, LangChain, Hugging Face

2X GCP Certified • Google Certified Proffessional Machine Learning Engineer • Google Certified Associate Cloud Engineer Contributed to Stanford Research (Echonet Dynamic) open source project for Interpretable AI for beat-to-beat cardiac function assessment. Successfully completed Stanford online certification in Machine learning with 97.3% grade. I love to work on challenging and state of the art cutting edge machine learning and artificial intelligence projects that push the edge or require the latest research in the field of machine learning and artificial intelligence. I have worked on attention mechanisms for improving the efficiency of existing models as well as creating new models from scratch that increase the capabilities for the model to solve the particular task much more effectively. I am able to implement "pytorch" "tensorflow" "keras" "octave" "tflearn" "sklearn" "pandas" "matplotlib" "nunmpy" "scipy" among others for any machine learning tasks, in the wide range of application spectrum. I am able to design front end back-end of the apps or a website etc. Can work on web-sockets servers google cloud platform hadoop reactjs image processing end to end models (including data prepossessing) I have successfully concluded a number of competition on kaggle with respectable positions on the leader-board. I am able to implement bhednau and Luong Attention mechanisms both in image (or video) classification, object detection or surveillance tasks, as well as in NLP (Natural Language Processing). NLP (implementation include:) Spacy Glove Vector Custom embeddings etc Can work with: Python reactjs c++ bash linux octave AWS Google cloud Terraform Ci/CD pipelines Kubernetes Tools: Prometheus Grafana Docker google cloud ml google ai-platform aws sagemaker google ml toolkit Azure Databricks Google AutomL Apart from the above interest, I also have always had the aspiration of being a writer.Starting of from the minor projects I am on my way to write a book, a semi-fictional psychoanalysis.I would love to write about new things and therefore add on to my own knowledge while doing that and earning at the very same time.

Upwork rates: Pay band: $80 for a consultation session (two hours maximum) Hourly: $70-120 an hour Outcome based: $200/feature Need an ML system that actually works in production, not just a notebook demo? I build AI solutions that ship. My systems process 50,000+ requests daily with sub-200ms latency. I take projects from research prototype to deployed product, handling the messy middle that most ML engineers avoid. What I deliver for clients: ### Voice AI Agents I build voice AI agents and conversational pipelines that work the way real users actually talk, which is messy, interrupted, and unpredictable. I use Bland.ai to design and deploy production voice agents with reliable call handling, dynamic routing, and tool-calling backends that connect to your existing systems. At AskHumans, I built outbound and inbound call agents for lead qualification, appointment booking, and live customer support. I wired the agent into the client's stack via Calendly webhooks for live scheduling, then reviewed transcripts post-launch to find where calls were dropping or going sideways, retuning the prompt and flow logic until call satisfaction hit 96.5%. ### LLM Applications and RAG Systems I build retrieval-augmented generation pipelines, multi-agent systems, and LLM-powered tools using LangChain, LangGraph, and direct API integrations. Recent work includes a document processing system that cut manual review time by 70% and a synthetic data pipeline generating 100K+ training samples daily. ### Production Machine Learning Your model is only valuable if it runs reliably at scale. I handle the full stack: model optimization, API development with FastAPI, containerization with Docker and Kubernetes, and cloud deployment on AWS (SageMaker, Bedrock, Lambda, EC2). I have built systems that maintained 99.9% uptime while processing enterprise workloads. ### GPU Optimization and High-Performance Computing Slow inference kills user experience. I optimize models with CUDA, implement efficient batching strategies, and architect distributed computing solutions. Background includes work on HPC clusters at NIH and CMU research computing. ### Graph-Based ML and Knowledge Systems When your problem involves relationships and networks, I bring specialized experience in graph neural networks, knowledge graphs, and Neo4j. I have applied these techniques to drug discovery research, fraud detection, and recommendation systems. My background spans research and industry. Three years of ML research at NIH and Carnegie Mellon gave me strong fundamentals in experimental design and statistical rigor. Current work as an AI/ML engineer at a federal consulting firm taught me how to build systems that meet enterprise requirements for security, compliance, and scale. I communicate clearly and keep you updated without requiring you to manage me. You will get working code, documentation, and systems you can maintain after the engagement ends. If your project involves voice agents, large language models, machine learning infrastructure, or getting an AI system into production, send me a message with the details. I will tell you honestly whether I am the right fit. Looking forward to hearing from you. ### Skills section Voice AI & Conversational Agents: Bland.ai, webhook integrations (Calendly, CRMs), transcript analysis, call flow optimization LLM Research & Fine-Tuning: HuggingFace Transformers, domain-specific fine-tuning, RAG systems, AWS Bedrock, OpenAI & Anthropic APIs, vector databases (Pinecone, Weaviate) Multi-Agent Systems: LangChain, LangGraph, agentic NLP pipelines, graph-based coordination frameworks, multi-agent orchestration Machine Learning & Deep Learning: PyTorch, TensorFlow, Graph Neural Networks (GraphSAGE), GANs, VAEs, synthetic data generation, reinforcement learning, computer vision, statistical learning theory High-Performance Computing & GPU Optimization: CUDA programming, GPU optimization, GraphBLAS, distributed computing, HPC clusters (SLURM), parallel algorithms, multi-node training Cloud & MLOps: AWS (SageMaker, Lambda, S3, EC2, Bedrock, CloudWatch), Docker, Terraform, Kubernetes, CI/CD, infrastructure as code, model deployment Full-Stack Development: Python, JavaScript/TypeScript, React, Next.js, FastAPI, Flask, Node.js, REST APIs Data Engineering: PostgreSQL, MongoDB, Neo4j, Pinecone, Weaviate, ETL pipelines, data visualization Cheminformatics: RDKit, molecular property prediction, graph-based drug discovery, synthesis route planning, SMILES encoding, Tanimoto similarity, NetworkX Other: Secret clearance (TS/SCI in progress), NVIDIA Accelerated Computing Certified, C/C++, Git

Expert Salesforce/ Snowflake / Data Cloud /CRM Consultants. Successfully working with Apex Coding, S.S.O, OAuth Flows, SOAP API, REST API, Triggers & Controllers, SOQL (Salesforce Object Query Language), Salesforce site & WSDL, Data Loader, Visual Force Pages, Live Agent, Process Builder, Big Objects, Lightning Component, Salesforce Marketing Cloud. • Salesforce.com Certified Administrator (ADM 201). • Salesforce.com Certified Platform App Builder • Salesforce.com Certified Advance Administrator (ADM 211). • Salesforce.com Certified Sales Cloud Consultant. • Salesforce.com Certified Service Cloud Consultant. • Salesforce.com Certified Platform Developer I • Salesforce.com Certified Platform Developer II Highlights - Converted Javascript Button code from SF Classic to Lightning Component. - Salesforce Classic to Lightning Migration - Development of Lightning Component/Lightning Web Component - Implementation using Salesforce DX Salesforce Nonprofit Starter pack - Volunteers for Salesforce Sales Cloud Implementation - Custom Territory Management Solution with Collaborative Forecasting (Without enabling Customizable Forecasting) - Proposal Management System with Conga Composer and DocuSign package. - Account/Opportunity/Lead/Contact/Campaign Management System Service Cloud Implementation - OpenCTI - Live Agent - Service Cloud Implementation in Service Cloud Console - Entitlement Management - Contract Management - Knowledge Article Setup Marketing Cloud Implementation - Lists vs Data Extensions - Data Retention - Subscriber Key - Unsubscribe Context (Pub List vs Lists) - SendLogs - Automation Studio - Automation Studio Detail SFMC Activities - Sends and Queries - SFMC Contact Builder - Journeys - Journey Builder and Interactions - Marketing Cloud Lightning (MC Connect) – Sales and Service Cloud Integration - Dynamic Content Options - VAWP - AMPScript Commerce Cloud Implementation -Front-end designing -Back-end architecture with expertise in HTML, ISML, CSS, SCSS/SASS, Demandware, jQuery, javascript, AJAX, JSON, Gulp.js, XML etc. Salesforce Integration with - - Google Drive/Calendar using Service Account (Rest API) - Quickbook Desktop Integration using DBSYNCH - Quickbook Online Integration (Rest API) - Routify - AWS S3 integration for large/small files - Salesforce Einstein - Content Management Websites like Box.com, Dropbox.com, Alfresco. - Payment Gateways like Authorize.net, Paysimple API, Stripe, Paypal and Moneris - Social networking websites like Facebook, Twitter, Linkedin. - Wordpress Websites - DocuSign and Conga Composer Packages - PHP, Java, .net,Joomla based websites (SOAP API) - MySQL using Middle ware - Chatter File/Attachment/Content version Integration for Partner Community User (SOAP API). Developed Salesforce.com Appexchange Apps - - Docufy, Cyber Alarm Antivirus and snapi.io etc. Community Cloud Implementation (Lightning) - Developed highly customized Customer/Partner Communities Miscellaneous - Field Service Lightning App - Salesforce CPQ implementation - Financial Force Package Customization. Pardot Implementation - Integrate pardot with the Salesforce. - Create Dynamic Lists, Automation Rules, Segmentation Rules, Drip Campaigns, Email Templates(Mobile Responsive) - Building responsive landing pages using Form and Form handlers. - Building and styling multistep forms - Engagement Studio - Code tracking - Integrated Form for Contact/registration/Sign up etc. - Design and code an editable email newsletter or emailer that will work on all email clients. - Provide the newsletter design according to your brand and theme. Wordpress - Plugin Development - Theme Development - Convert PSD to HTML files - Yoast Search Engine Optimization (SEO) Full Stack - Javascript - .net - Php - Ruby & Rail - Python - React Mobile App Development - iOS/Android Native Mobile App and integrated with Salesforce. - Swift, HTML 5 (bootstrap theme), Angular 6, Laravel, MySQL - React Native - Cross Platform app using Node.js

I'm an experienced IT professional, played various roles in my career journey like Cloud Solutions Architect, Full-stack developer, DevOps consultant with total 16+ years of experience. I'm an Ex-Amazonian, expert in AWS Cloud platform and AWS Partner Network(APN). I'm Solutions Architect Pro-certified with all 3 hyper-scalers(AWS, Azure,GCP). Have strong knowledge of AI/ML/GenAI with AWS AI Practitioner and Machine Learning Speciality certifications. Total Experience: 16+ years 4xAWS, 1xAzure,1xGCP Certified