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I turn messy, high-stakes data into decisions people can act on. Over 15+ years and 66 Upwork contracts (~4.9/5 stars across rated jobs, 84% perfect 5.0s), I've built my practice on one promise: you get a clear answer, a tool your team can actually use, and plain-English communication throughout. What I do best: * Interactive R Shiny dashboards and analysis platforms: 12+ shipped, including a 20+ package bioinformatics platform and a no-code causal-inference tool for pharmaceutical analysts * Machine learning and predictive modeling: injury prediction for an NFL franchise, mortgage default risk, game simulation * Statistical analysis: hierarchical Bayesian modeling, MaxDiff and survey analytics, meta-analysis, causal inference * R package development: a production package built over a 952-hour flagship engagement, plus a released CRAN package * Quantitative finance: DCC/GARCH modeling, asset allocation, backtesting frameworks Domains I know well: healthcare and EHR data, bioinformatics and genomics, finance and trading, marketing analytics, survey research, and sports. How I work: independently, end to end. Most clients hand me a problem, not a spec. I scope it, deliver in agreed milestones, and explain the results so non-technical stakeholders can make the call. That approach is why most of my work is repeat business, and why "Committed to Quality" and "Clear Communicator" are my two most-endorsed client tags. M.S. in Bioinformatics from Johns Hopkins. Co-author on 8 peer-reviewed papers. US-based native English speaker. If you have data that should be driving a decision and isn't yet, let's talk.

I help researchers, startups, and businesses turn AI ideas into working MVPs and scalable products through machine learning development, AI model integration, AI/Backend Engineer, Workflow Automations and research-backed implementation & writing support. 🏆 Top Rated | 100% Job Success | about $10K+ Earned | 40+ Completed Upwork Jobs Whether you need to validate an AI idea, integrate an existing model, reproduce research code, or improve an ML pipeline, I can help move your project from concept to a reliable implementation. 🏆 MVPs to Scalable Products | AI Research & Development | Research Support-Asistance 🧠 Deep Learning | Machine Learning | ML Model Training & Fine-Tuning | APIs | LLMs 🌟 2D/3D Vision | Sensors and Medical Data | GitHub & Hugging Face Code Reproduction 🧠 Classification, Regression, Time Series, Forecasting, Detection & Recognition WHAT I CAN HELP YOU BUILD: ✅ AI & Machine Learning MVPs, SaaS, Startup Predictive models, prototypes, backend APIs, AI model integration, and deployment-ready workflows. ✅ Deep Learning & Computer Vision Solutions Image classification, object detection, segmentation, anomaly detection, medical imaging, and 2D/3D vision pipelines. ✅ LLM, RAG & AI Integration OpenAI API integration, LangChain workflows, ChromaDB knowledge bases, retrieval pipelines, and AI-powered applications. ✅ Model Training & Fine-Tuning Data preparation, training pipelines, experimentation, evaluation, optimization, and reproducible implementation. ✅ Research Support & Code Reproduction Research-paper implementation, GitHub and Hugging Face code reproduction, benchmarking, ablation studies, experiment support, and technical reporting. ✅ Medical & Scientific Data Solutions Research-focused machine learning workflows for structured, image, and multimodal datasets. ✅ Time-Series & Sensor Data Solutions Forecasting, anomaly detection, signal processing, predictive modelling, and machine learning workflows for sensor, IoT, and sequential datasets. CORE TOOLS: Python | PyTorch | TensorFlow/Keras | Scikit-learn | OpenCV | Vercel AI | Github | Hugging Face | Flask | FastAPI | OpenAI API | Claude Code | LangChain | ChromaDB | Next.js | SQL | Docker | R/Rstudio | Matlab PyTorch | TensorFlow | Deep Learning | Neural Networks | Machine Learning | Machine Learning Model | Large Language Model | RAG | AI Model Development | AI Model Integration | Data Engineering | biostatistics | Statistical Analysis | Data Engineering | Image processing | Signal Processing WHAT YOU CAN EXPECT ✓ Clear communication and realistic scoping ✓ Clean, reproducible code and documentation ✓ Research-backed implementation decisions ✓ Flexible collaboration across USA, Europe, UK, and Australia time zones I also support Python/R Data Science Data Analysis, NLP, LLMs, OpenAI API, RAG chatbots, Clinical Data, Data Engineering, scraping tasks projects and build ETL pipelines as well as setup databases. Share your idea, dataset, existing codebase, or research paper, and I will help define the most practical path from prototype to implementation.

Computational scientist with 5+ years delivering research-grade data science across clinical and biological domains. I build autonomous AI systems, scalable analysis pipelines, predictive models, and data-driven applications - with doctoral-level depth in multi-omics and systems biology. I adapt to your stack, your environment, and your standards. I do not just analyze data. I build infrastructure around it: reproducible workflows, intelligent agents, and production-ready solutions that hold up under scientific scrutiny. WHAT I OFFER Agentic AI and LLM Pipelines Autonomous agents, multi-agent systems, retrieval-augmented workflows, and LLM-integrated tools that automate complex reasoning and data tasks end to end. ML and Deep Learning Predictive modeling, neural networks, ensemble methods, and model interpretability - built to generalize, not overfit. Bioinformatics and Multi-Omics End-to-end analysis of next-generation sequencing data across modalities: bulk and single-cell RNA-seq, whole genome and exome sequencing, ATAC-seq, ChIP-seq, metagenomics, long-read sequencing, and spatial transcriptomics. Advanced integration techniques and multi-omics. Data Analysis and Visualization Statistical testing, exploratory analysis, and publication-quality figures that communicate results clearly to both technical and non-technical audiences. Biostatistics and Epidemiology Rigorous statistical modeling across biological and clinical datasets: survival analysis, mixed-effects models, longitudinal data analysis, Bayesian inference, multiple testing correction, and interpretation of population-scale and epidemiological data.​​​​​​​​​​​​​​​​ Scientific Pipelines and Software Containerized, HPC-compatible workflows built for reproducibility, portability, and scale - in whatever language or framework your project requires. Web and Application Development Interactive dashboards, REST APIs, and research tooling designed to make complex data accessible and actionable. Training, Tutoring and Consulting One-on-one and group tutoring in data science, bioinformatics, statistics, and programming, from foundational concepts to advanced techniques. I also consult with research teams looking to build internal capacity or accelerate ongoing projects. Whether you’re looking for support with a research project, building predictive models, or streamlining your data workflows, I’m here to help. Let’s bring your data to life.

⭐⭐⭐⭐⭐ 5.00 across 210+ Jobs AI RAG LLM AGENTIC AI, Vibe coding 🥇𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗼𝗻 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 (𝗗𝗲𝘀𝗸𝘁𝗼𝗽 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁) 🥇𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗼𝗻 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 (𝗣𝗟𝟯𝟬𝟬 💎 Top Rated PLUS, Trusted by 210+ clients, 11000 + 🅷🅾🆄🆁🆂 worked, )High-quality outcomes & your trusted companion for the long-term data journey. 12+ Yrs of immense ex 🏅 Top 1% of Tableau Developers 🏅 Top 1% of PowerBI Developers 🏅 Top 1% of Sigma computing Developers Open for a long-term opportunity 15+ years of immense experience in building 200+ solutions and implementing in QlikView Domo, Klipfolio, and Tableau, Power BI projects single-handedly. I also have sound knowledge of ETL, Datamining, data fetching, Oracle database, Google Analytics, Social media analytics. I am also Tableau sales accreditation certified and attended tableau basic and advanced paid training certification as well. I also have snowflake core certification, and also Klipfolio certified expert, please visit my certification section for more info. Skillset: ✅ Tableau ✅ Klipfolio ✅ Qlikview ✅ Domo ✅ Google data studio ✅ Sisense ✅ Looker ✅ Power BI ✅ Click data ✅ AWS Quick sight ✅ Google analytics ✅ Tealium ✅ Airtable ETL Tools: ✅ Azure DataFactory ✅ AWS Glue ✅ Alteryx ✅ Integromat/Make ✅ Knime ✅ Power Automate Databases: ✅ SQL Server ✅ Oracle ✅ Hadoop impala/hive ✅ Mongo DB ✅ Postgres Sql ✅ Snowflake/Amazaon RDS 💎 Top Rated PLUS | 🕐 Fast Turnaround 🌟WHY CHOOSE ME OVER OTHER FREELANCERS? 🌟 ✅ Client Reviews ✅ Communication ✅ Mastery 🟢 GO GREEN 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸🟢 Cloud: Azure (Data Factory, Synapse, Fabric), GCP (BigQuery, Dataflow), AWS Languages: Python, SQL, R, Scala, DAX, JavaScript Orchestration: Airflow, dbt, Prefect, Kafka, CI/CD, Git BI: Power BI, Looker Studio, Tableau, QlikView, Excel/Power Pivot AI/Automation: Clawdbot, Moltbolt, Openclaw, LangChain, n8n, Make, Zapier, Pinecone CERTIFICATIONS 🏅 Tableau Desktop Specialist Certified 🏅 Tealium Specialist Certified 🏅 Microsoft Certified: Power BI Data Analyst 🏅 Google Data Studio Certified 🏅 Alteryx Designer certified 🏅 Microsoft Certified Professional (MCP SQL) 🏅 Excel and Spreadsheets Expert 🏅 Zoho and Looker Expert 🏅 D365 CRM and SharePoint Expert 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 𝗜'𝘃𝗲 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱: - Engineered ETL pipelines processing 50M+ events/day across GCP, Snowflake, and BigQuery - Delivered a $47K enterprise AI + web application rated elite by the client - Replaced manual reporting workflows saving teams 20+ hours per week - Scaled Power BI datasets from thousands to 10M+ rows without performance loss - Built AI document parsing systems handling enterprise-grade extraction and classification - Designed Snowflake data warehouses with optimized dimensional models for executive reporting 𝗣𝗶𝗹𝗹𝗮𝗿 𝟭: 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 ETL/ELT architecture, real-time ingestion, CDC patterns, incremental loads, and warehouse modeling. I work across Snowflake, BigQuery, Databricks, Azure Data Factory, dbt, Airflow, and Kafka. Clean data contracts, reliable refreshes, and systems your team can maintain. 𝗣𝗶𝗹𝗹𝗮𝗿 𝟮: 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱𝘀 (𝗔𝗟𝗟 𝗧𝗼𝗼𝗹𝘀) Power BI (semantic models, DAX, embedded analytics, Power BI Service, Fabric), Looker Studio, Tableau, QlikView, and Excel/Power Pivot. From KPI frameworks and dimensional modeling to real-time executive dashboards I build reports that are fast, accurate, and aligned to decisions. Performance tuning for slow or bloated reports is a core specialty. 𝗣𝗶𝗹𝗹𝗮𝗿 𝟯: 𝗔𝗜, 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 Production-grade LLM integration using Clawdbot, Moltbolt, Openclaw, LangChain, and RAG architectures. Custom AI agents with guardrails, human-in-the-loop controls, and monitoring for enterprise safety. Workflow automation through n8n, Make, Zapier, Langflow, Flowise, and SimStudio — connecting AI to your CRM, ticketing, email, Slack, and internal systems with role-based access and audit trails. Typical AI deployments: AI support agents, document intelligence pipelines, internal ops copilots, knowledge search with permissions, and intelligent lead qualification systems. 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀: Healthcare (EHR, operational analytics, HIPAA-compliant reporting) Finance & Enterprise (P&L, KPI dashboards, multi-source consolidation) SaaS & Startups (product analytics, embedded BI, growth pipelines) 𝗠𝘆 𝗔𝗽𝗽𝗿𝗼𝗮𝗰𝗵: Every engagement starts with a short audit current-state review, data access, KPI definitions, and a milestone delivery plan with clear timelines. Then we build in iteration cycles with hardening, documentation, and handover so your team owns the system when I'm done. I always leave things better than I found them. Proper data models, clean logic, version-controlled code, and documentation your team can actually work with. Have a project in mind? Click "Invite to Job" let's talk.

🚀 🥇 Expert-Vetted | Hands-On AI/ML Engineer | I Build LLM Apps, RAG Systems & AI Agents (MCP, LangGraph) | Python, AWS, GCP, Azure | Healthcare & FinTech 👁‍🗨 Overview I build and ship production AI systems myself, end to end. No handoffs, no delegation: I design the architecture, write the code, and stay on it until it is deployed, monitored, and generating ROI. I bring 15+ years of hands-on AI/ML engineering, a PhD in Machine Learning from Iowa State University, and a Master's in Computational Neuroscience from UC San Diego. ✅ What I Build: • LLM Applications: RAG pipelines, chatbots and copilots, document AI, semantic search, structured data extraction • AI Agents: Multi-agent systems, MCP (Model Context Protocol) tool integrations, LangGraph orchestration, function/tool calling, agentic workflow automation • Model Customization: Fine-tuning (LoRA/QLoRA, RLHF/DPO), prompt optimization, evals and guardrails, open-weight model serving (vLLM) • Healthcare AI: Clinical trial automation, medical document generation, HIPAA-compliant systems • Full-Stack AI Products: Python/FastAPI backends, React frontends, Kubernetes, CI/CD across AWS, GCP, Azure 🎯 Recent Hands-On Builds: • Engineered a clinical trial intelligence system for enterprise pharma: ingested, embedded, and indexed 100K+ trials with multi-index, multi-LLM RAG and advanced PDF parsing, powering Q&A, chat, and benchmarking • Built a GenAI product that drafts 100+ page regulatory clinical trial protocols (95% of the full M11 document), with multi-agent validation, consistency, and styling checks • Coded and deployed an ICD-10 billing code prediction model on GCP and an EHR-integrated physician sidebar on AWS EKS • Rescued a failing third-party ML platform, refactored it, and took it to production on AWS at ResMed (NYSE: RMD), enabling their first commercial AI healthcare product • Built ML-powered ad targeting and recommendation systems generating $100K+/month, plus AI products earning $1M+ revenue in year one 💼 Industry Expertise: • Healthcare/Pharma: Clinical trials, EHR API integration, medical AI, FDA-regulated software • FinTech: Real-time fraud detection, card-linked platforms, transactional APIs (MasterCard and Visa partnerships) • Enterprise SaaS and Retail/E-commerce: Multi-tenant APIs, recommendation engines, customer analytics 🔧 Technical Stack: AI/ML: GPT-5, Claude, Gemini, Llama, DeepSeek, Qwen; fine-tuning (LoRA/QLoRA, PEFT, RLHF/DPO); RAG and GraphRAG, hybrid search, rerankers, embeddings Agents: MCP, LangGraph, LangChain, LlamaIndex, CrewAI, OpenAI Agents SDK, structured outputs, tool calling Languages: Python, TypeScript/JavaScript, SQL, Java, Go Frameworks: PyTorch, Hugging Face, FastAPI, React, TensorFlow, Scikit-learn Serving & MLOps: vLLM, Ollama, AWS (SageMaker, Lambda, ECS/EKS), GCP (Vertex AI), Azure AI Foundry, Kubernetes, Docker, MLflow, Weights & Biases Evals & Observability: LangSmith, Langfuse, RAGAS, guardrails, LLM cost optimization Databases: PostgreSQL/pgvector, Pinecone, Qdrant, Weaviate, ChromaDB, Elasticsearch, MongoDB, Redis 📊 Quantifiable Impact: • 100K+ clinical trials processed, indexed, and made queryable for enterprise users • 100+ page medical documents generated with regulatory compliance • 94% accuracy in crisis detection and 73% engagement increase for a nonprofit youth chatbot • 10X subscriber growth driven by models I built and deployed • $100K+/month revenue from ML-powered ad targeting 🎓 Credentials: • PhD, Machine Learning (Iowa State University); M.Sci., Computational Neuroscience (UC San Diego) • IBM Certified: RAG and Agentic AI; Deep Learning Specialization (Coursera) • Published AI/ML researcher (Psychological Science, ICSE); 4 provisional patents in AI/computer vision 🌟 What Sets Me Apart: I am senior, and I still write the code. On every engagement you get one engineer doing the actual work: architecting, coding, testing, deploying, documenting. Because I have built AI in regulated healthcare and fintech environments, compliance, evals, and monitoring are baked in from day one rather than bolted on. My neuroscience background shapes how I build AI systems that genuinely understand human behavior and needs. 🤝 Working With Me: You work directly with me, and I personally do the work. Expect working code early (usually in the first week), frequent demos, clear async communication, and clean documentation at handover. US-based in San Diego (Pacific time), available for both short sprints and long-term builds. Have an AI feature or product that needs to get built? Send me the details and I will reply with exactly how I would build it.

🏆 Microsoft Certified Data Engineer and Analyst 🏆 Senior Data Engineer and Analyst with over 10 years of experience I am a Senior Data Engineer and Analyst specializing in building scalable data pipelines, designing data architectures, and delivering impactful dashboards. My expertise spans data integration, transformation, and analytics, ensuring optimized and actionable solutions tailored to business needs. Expertise includes: 🔶 Data Engineering & Architecture: ● ETL Mastery: Expert in cloud-based ETL tools such as AWS Glue, Azure Data Factory, GCP Data Fusion, and Snowflake ELT workflows for seamless data ingestion, transformation, and loading. ● SQL Proficiency: Mastery of SQL query optimization, advanced joins, window functions, and stored procedures across T-SQL, MySQL, PostgreSQL and Snowflake SQL (micro-partition pruning, clustering, semi-structured data queries). ● Data Pipeline Orchestration: Experienced in using workflow management tools like Apache Airflow and Snowflake Tasks to automate and monitor data pipelines efficiently. ● Data Warehousing: In-depth experience with Snowflake, Redshift, and BigQuery, including dimensional modeling and normalization best practices. 🔶 Data Analysis & Dashboard Development: ● Power BI: Skilled in creating dynamic, interactive reports using centralized datasets, PowerQuery, DAX measures, and Python scripting for complex data transformations. ● Tableau: Advanced expertise in integrating diverse data sources, creating calculated fields, and developing visually compelling dashboards. ● Looker: Proficient in LookML for data modeling, custom visualization, and embedding analytics for seamless integration with business workflows. ● Real-Time Insights: Delivered actionable dashboards connected directly to cloud-based sources for up-to-date analytics. 🔶 Cloud Platform Expertise: ● AWS: Advanced knowledge of Lambda, Glue, S3, and Redshift for scalable and secure data processing. ● Azure: Extensive experience with Function Apps, Synapse, Data Factory, and Data Lake Gen 2 for robust data solutions. ● GCP: Expertise in BigQuery, Cloud Functions, Data Fusion, and Looker for analytics and data management. ● Snowflake: End-to-end warehouse development including schema design, performance tuning, ELT, RBAC security, semi-structured data (VARIANT), Streams & Tasks, external tables, and cost optimization 🔶 Data Governance & Transformation: ● Strong Python scripting skills for automation, API integration, and advanced data cleansing. ● Hands-on experience with tools like Pandas Profiling, OpenRefine, and Trifacta Wrangler for data profiling, quality assurance, and anomaly detection. ● Proficient in implementing secure access controls using IAM roles, Lake Formation, and APIs, as well as Snowflake RBAC, masking policies, and secure data sharing for governance and compliance. 🔶 API Integration & Automation: ● Built and managed data pipelines for platforms such as Stripe, AWS, and Google Analytics. ● Integrated APIs to extract, transform, and load data seamlessly into analytics platforms. ● Automated complex workflows using Python and cloud-native tools, ensuring efficiency and scalability. I am passionate about delivering data solutions that not only meet but exceed client expectations. Let’s collaborate to turn your data into a powerful asset for strategic decision-making! Thank you for your time!