I build machine learning systems that run in production. Not demos. Not proofs of concept. Deployed, measurable AI. Seven years of ML engineering, eight AI products live, and a client base that spans healthcare, fintech, e commerce, and Web3. The work covers the full lifecycle from model design, training, fine tuning, deployment, and MLOps, with a consistent delivery record of 30 to 40% measurable improvement on core business metrics. Generative AI and Large Language Models LLM fine tuning and production deployment across GPT 4, Claude, Gemini, and LLaMA. Delivered eight GenAI applications to date, including RAG systems, multi step AI agents, and enterprise chatbots built on OpenAI API, Azure OpenAI, and LangChain. Prompt engineering is treated as an engineering discipline, structured, testable, and versioned. Fluent in Hugging Face, FAISS, Pinecone, and agentic AI frameworks. Machine Learning and Deep Learning Custom model architecture using TensorFlow 2.x, PyTorch, Keras, and scikit learn. Experience spans supervised learning, unsupervised learning, transformer based architectures, BERT fine tuning, and ensemble methods built for enterprise scale, not Kaggle benchmarks. Computer Vision Real time vision systems achieving 98% plus accuracy using YOLO, ResNet, and custom CNN architectures. Deployed applications include quality control automation, medical imaging analysis, and sports performance tracking with complex occlusion handling. NLP and Conversational AI Production NLP pipelines processing 10M plus documents daily using BERT, Hugging Face Transformers, spaCy, and NLTK. Covers sentiment analysis, document classification, named entity recognition, and the full backend stack for AI chatbot development. Predictive Analytics and Time Series Forecasting models with 75 to 90% accuracy using LSTM, GRU, Prophet, and XGBoost, applied to demand forecasting, fraud detection, credit risk scoring, and customer behavior prediction. Industry Coverage Healthcare AI with HIPAA compliant clinical decision support, diagnostic algorithms, and medical imaging. Financial services including fraud detection, AML and KYC automation, algorithmic trading, and risk modeling. E commerce covering recommendation engines, dynamic pricing, and personalized AI. Manufacturing including predictive maintenance and supply chain optimization. Web3 covering on chain analytics, DeFi modeling, and wallet behavior prediction. Selected Deployments Alfred AI with 25% reduction in e commerce returns through ML powered personalization NBA Predictor with 78% match outcome accuracy, live at hyperformancepicks Valfile with NLP based talent matching and resume analysis at scale Binance Chain Analytics with 3.4TB processed and 90% recall on investor scoring InfoFinlandBot, RecorDr, Lawyerup as production GPT based systems with real users Stack TensorFlow 2.x, PyTorch, Keras, scikit learn, XGBoost, Hugging Face, LangChain, Pinecone, FAISS, OpenCV, spaCy, NLTK deployed on AWS SageMaker, Azure ML, and Google Vertex AI via Docker and Kubernetes. Python, R, SQL, JavaScript, Scala. MLflow for experiment tracking and MLOps pipeline management.

I’m a Senior Software Engineer with strong experience designing and building scalable, cloud-native systems on AWS for startups and growing products. My strength is turning business requirements into reliable technical solutions — from early MVPs to production systems that scale without costly rewrites. What I focus on: Backend and full-stack development AWS cloud architecture (serverless & cloud-native) Scalable system design and clean APIs Performance, reliability, and cost efficiency Working closely with founders and product teams I’ve worked on financial and SaaS platforms, where reliability, security, and clear architecture are critical. I care about writing clean, maintainable code and making technical decisions that support long-term growth, not shortcuts. Clients value me for clear communication, ownership, and practical engineering decisions. If you’re looking for a senior engineer who can build, improve, or stabilize your system, I’m happy to discuss your project.

Top 0.01% nationally; 2nd in Canada, repeated top-20 finishes in programming, mathematics, and physics competitions. $1M+ earned, 100% Job Success, 7,600+ hours, average engagement 330+ hours. I build production AI inside real products, especially Rails/Python systems that need more than a demo. • Multi-LLM failover across Claude / GPT / Grok - 99.9% uptime, zero dropped requests • PGVector RAG 5-10x faster than hosted APIs, embedded in Active Record • AI contract parser shipped in 3 weeks with OCR fallback and source-document backlinks • 1M-row pipeline cut from 90 minutes to 30 seconds for an industrial dashboard where downtime costs millions 25 years shipping software: Rails 15 years, Python 8 years, Node, .NET, PostgreSQL/vector search, F#, Clojure, Scala, C/C++, scraping, and data pipelines. Former CTO: grew a company 12x from $20K/mo to $250K/mo, hired engineers, set direction, and still wrote the hard code. Send me the product, the stack, and what the AI needs to do. I respond fast and only take projects with a clear path to value.

Greetings! 👋 I am Zeshan Ather, a Top 1% Expert-Vetted Professional on Upwork. Based in Silicon Valley, San Francisco, I bring over 9 years of experience in Data Analytics, Business Intelligence, and Data Science - including 6 years at Hewlett Packard Enterprise. With a Master’s in Computer Science (Data Science specialization, Software Development minor), I combine academic rigor with hands-on industry expertise to deliver enterprise-grade solutions. My career has been built on helping businesses unlock the full value of their data - whether through intuitive BI dashboards, scalable data pipelines, or AI/ML models that power predictive decision-making. 💡 What I Deliver: - Business Intelligence Dashboards: Power BI, Tableau, Qlik - executive dashboards, KPI tracking, drill-down analytics. - Data Engineering & Integration: ETL/ELT pipelines, SQL-based data modeling, Azure Synapse, Databricks, AWS Redshift, Snowflake. - Advanced Analytics & AI/ML: Forecasting, Churn Prediction, Recommendation Engines, NLP, Anomaly Detection, Predictive Maintenance. - Data Science Solutions: Machine Learning pipelines, Statistical Modeling, TensorFlow/Scikit-learn, Natural Language Processing, Experiment Design. - Cloud Data Platforms: Azure Data Factory, Azure Data Lake, Synapse Pipelines, AWS S3/Redshift, Snowflake, Delta Lake. 🔧 Technical Expertise: ✔️ BI Tools: Power BI, Tableau, QlikView, SSRS ✔️ Programming: Python, R, SQL, Scala, Spark, PSQL, DAX, MDX ✔️ Data Science: TensorFlow, PyTorch, Scikit-learn, Azure ML, NLP, Forecasting Models ✔️ Data Engineering: Azure Synapse, Data Factory, Databricks, Delta Lake, AWS Redshift, Snowflake ✔️ Databases: SQL Server, PostgreSQL, Vertica, MySQL ✔️ Modeling: Dimensional modeling, star/snowflake schemas, KPI frameworks ✔️ Security & Compliance: HIPAA, GDPR, PHI de-identification, RBAC, Row-Level Security 🌍 Trusted by Global Clients: - HPE (USA) - Data Analyst and Business Intelligence specialist - NHS (UK) – Healthcare dashboards & predictive models for patient outcomes. - Omni Tax Help (USA) – Sales analytics & forecasting models to improve client acquisition. - RealDefense (USA) – Product telemetry analytics + anomaly detection for cybersecurity products. - Inspire & Rozetree (USA) – Social media engagement analytics & automated campaign reporting. - MOTOR Magazine (USA) – Retail & operations analytics dashboards on AWS Redshift & Tableau. ✅ Why Work With Me: - 9+ years of end-to-end project delivery across BI, Data Science & AI. - Strong communicator: making complex analytics clear to business leaders. - Proven success with 100% client satisfaction & 5★ reviews on Upwork. - Trusted by enterprises across healthcare, finance, marketing, retail, and cybersecurity. 👉 Whether you need BI dashboards, predictive ML models, or enterprise-scale data pipelines, I deliver outcomes that move the needle for your business.

I am Scala backend developer, I have worked on various complex backend and mobile projects and gained strong research, problem solving and analytics skills. My general software development experience is 13 years Today's my areas of interest are Scala development, trading systems, fintech and investing The whole 2023 I worked as a Scala consultant for a huge fintech company, worked on multiple micro services using Scala, Akka Kafka and more technologies I also worked with Java intensively and less with Python during my career

I help companies increase revenue and automate processes with the power of data science and AI. I'm a full-stack data scientist with a wealth of expertise in machine learning, NLP, Generative AI (ChatGPT, LLMs), data engineering, and analytics engineering. I can also help drive strategy and manage your data team. My previous experiences include creating and managing end-to-end data pipelines powering AI & ML products at the WHO and venture-backed startups. I can help you: 💡 Ideate on how to integrate the latest AI & ML techniques (e.g., ChatGPT) into your products and services 🤖 Build ML and NLP models on your custom data 🔧 Set up robust data and analytics pipelines using modern tooling (dbt, Fivetran, Dagster) and software engineering best practices 🏷️ Build in-house data annotation and labeling pipelines to power your custom AI models ☁️ Deploy AI models and manage related cloud infrastructure in a cost-effective manner 🎓 Mentor your existing teams on how to use MLOps and DataOps tooling to supercharge productivity I have a bachelor's in physics and a master's in data science and analytics from Georgia Tech. ________________________________________________________________________________ My toolkit includes: 🧠 Generative AI — LLMs, OpenAI ChatGPT, Gemini, Anthropic Claude, Chatbots, Retrieval Augmented Generation (RAG), Model Fine-Tuning, Prompt Engineering, PyTorch, TensorFlow, Hugging Face, LangChain, LLaMA, Gemma ⚙️ Data Engineering — dbt, Dagster, Airflow, Prefect, API Integration, ETL/ELT Pipelines, Fivetran, Airbyte, Meltano, dlt, BigQuery, Redshift, Snowflake, DuckDB, Postgres, MySQL, Cube, dbt Semantic Layer 🔬 Data Science & Machine Learning — Natural Language Processing, Classification, Clustering, Regression, Unsupervised Learning, Topic Modeling, Churn Prediction, Jupyter Notebooks, Prodigy, Spacy, Mephisto, Dataset Creation, Scikit-Learn (sklearn), NumPy, SciPy, Polars, Pandas, CuPy 📊 Data Visualization — Tableau, Looker, Omni, Lightdash, QuickSight, Hex, Deepnote, Plotly, Dash, Seaborn, Matplotlib, ggplot, Hvplot, Altair, d3.js ☁️Cloud & DevOps— Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, Docker, CI/CD, Lambda Labs, Coreweave, RunPod, Banana.dev, SkyPilot 💻 Programming Languages — Python, R, SQL, JavaScript, Scala 🤖 Process Automation —Make, Zapier, n8n, Airtable

Marktine Technology — Cloud Data Engineering & AI Specialists I’m Alok Sharma, CEO of Marktine Technology. We are a global IT consulting and development firm with a proven track record in data engineering, data science, cloud migrations, and DevOps automation. Our expertise spans Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure, and hybrid architectures — helping clients build scalable, secure, and cost-optimized data platforms. 🔑 Core Competencies Data Engineering End-to-end ETL/ELT pipeline design (batch + streaming) using Apache Beam, Spark, Dataflow, and Airflow. Large-scale data migrations (ELK → ClickHouse, ELK → BigQuery, SQL Server → Cloud data warehouses). SCD Type 2 implementation for dimensional modeling and historical data tracking. Data validation & recovery pipelines — checksum validation, dead-letter queues, reconciliation reports. Performance tuning — optimized Spark code, partitioning, clustering, and materialized views. Data Science & Analytics Predictive & prescriptive analytics on cloud platforms (BigQuery ML, Databricks ML, SageMaker). Marketing attribution modeling & Customer Data Platform (CDP) analytics. Healthcare & Airline analytics — claims processing KPIs, patient metrics, flight/ops dashboards. Graph analytics — Neo4j + GKE for supply chain & relationship insights. Cloud Platforms (GCP • AWS • Azure) GCP: BigQuery, Pub/Sub, Dataflow, Cloud Composer, GKE, Cloud Functions, Cloud Operations. AWS: EMR, Glue, Redshift, MSK/Kinesis, S3, EC2, Lambda, Step Functions. Azure: Databricks, Synapse Analytics, Data Factory (ADF), Data Lake, Azure ML. Hybrid multi-cloud migrations (on-prem → GCP/AWS/Azure). DevOps & Automation CI/CD pipelines using Jenkins, GitHub Actions, GitLab, YAML scripts. Infrastructure as Code (IaC): Terraform, CloudFormation, ARM templates. Docker & Kubernetes orchestration for scalable deployments. Automated monitoring & alerting (CloudWatch, Cloud Operations, Grafana). 🛠️ Technical Skills Big Data & Cloud: ClickHouse, BigQuery, Databricks, Synapse, Redshift, Hadoop, Spark (PySpark/Scala), Hive, Kafka, Pub/Sub, Kinesis Programming: Python, PySpark, Scala, SQL Schedulers & Orchestration: Airflow, Cloud Composer, Oozie, Autosys DevOps Tools: Jenkins, GitHub Actions, GitLab, Docker, Kubernetes, Terraform, Maven, Gradle, SBT Databases: MongoDB, Elasticsearch, MySQL, Oracle, Teradata Monitoring & Validation: CloudWatch, GCP Ops Suite, Prometheus/Grafana Others: JIRA, Git, IntelliJ, Eclipse 🏆 Certifications & Awards DP-203 — Azure Data Engineering (Microsoft Certified) AZ-900 — Azure Fundamentals 📂 Representative Projects ELK → BigQuery Migration (Export Genius) Migrated 20M+ records to GCP using Dataflow + Pub/Sub with recovery pipelines. Orchestrated with Airflow DAGs, validation via BigQuery checks. Delivered a serverless analytics platform with cost optimization. ELK → ClickHouse Migration (AWS Native) Migrated 6.13 billion records using Spark on EMR + ClickHouse on EC2. Built real-time streaming ingestion via Kinesis & Lambda. Achieved 100x query performance improvement vs legacy ELK. Azure Data Engineering for Healthcare Client Built ETL pipelines on ADF + Databricks for claims processing metrics. Implemented SCD Type 2 dimensional modeling for patient history tracking. Delivered interactive Power BI dashboards for medical insights. 🌍 Industry Expertise Marketing: Attribution modeling, CDP data pipelines, campaign performance dashboards. Healthcare: Claims metrics, patient analytics, compliance reporting. Airlines: Operational metrics, passenger insights, schedule optimization. E-Commerce & Retail: Data lakes, recommendation engines, customer churn models. 💡 Why Clients Choose Marktine ✔ Proven at scale — from demo migrations (20M) to enterprise datasets (6B+) ✔ Multi-cloud expertise — AWS, GCP, Azure certified engineers ✔ Transparent delivery — daily logs, MoMs, Upwork timesheets ✔ Cost-efficient architecture — optimized queries, cloud cost monitoring ✔ Flexible models — hourly, fixed, or retainer with EU/US overlap If you’re looking for senior data engineers, data scientists, or cloud experts (GCP, AWS, Azure) to migrate, optimize, or scale your data platform — Marktine Technology can help. Best regards, Alok Sharma CEO, Marktine Technology

**Top Rated Azure & AI Specialist | 100% Job Success | 5-Star Feedback** ASK ABOUT EXCLUSIVE MICROSOFT CSP DEALS—authorized Microsoft partner delivering discounted licenses fast. Experienced in creation of enterprise solutions for Fortune 500 clients (Chevron, FedEx) and innovative startups alike. I bridge traditional cloud architecture with cutting-edge AI agent systems, specializing in Azure, Microsoft Fabric, multi-agent architectures, and full-stack development. Enterprise Cloud & Data Engineering Longevity (Healthcare) - Architected enterprise medical claims modernization using Microsoft Fabric data lakehouse with Bronze/Silver/Gold medallion layers. Built Bronze for raw ingestion with Change Feed triggers, Silver for data cleaning using Python Notebooks and Dataflows with Microsoft Purview lineage tracking, and Gold for real-time claims processing via Power BI and Data Activator alerts. Integrated Azure Logic Apps, ARM templates, Terraform, and HR solutions using Power Apps/Dynamics 365 with Paylocity API. Financial Services Platform - Architecting cloud migration for $2.2B premium financial application. Designed complex ETL pipelines using Azure Data Factory, Logic Apps, Azure SQL, and Function Apps for Oracle-to-Azure SQL migrations with regulatory compliance workflows. SPS Poolcare - Migrated SnapLogic to Fabric Data Factory with zero downtime, integrating ServiceTitan, Paylocity, QuickBooks, and Excel for profitability analytics. Configured real-time SLA monitoring with Teams alerts via Activator. Established Git-backed governance and CI/CD pipelines. AI Agent Systems & Advanced Development: X-RaceIQ - Real-time racing telemetry platform with 8-agent system for professional motorsport. Designed concept for AI Crew Chief Radio hardware delivering voice-synthesized coaching through multi-agent analysis of telemetry, weather, competitor positioning, and track evolution during live racing. TrafficMate Radio - Voice-powered local discovery with 11-agent orchestration for social radio channels, restaurant coordination, and business discovery using ElevenLabs voice AI and location-based content delivery. Web Intelligence Suite - Chrome extension leveraging Gemini Nano for on-device AI processing—web summarization, contextual chat, and content analysis running locally without external APIs for enhanced privacy. Blockchain & Emerging Tech - Built Proof of Taste (AI recipe generation + Polkadot NFT minting), AR Portrait Gallery (WebXR + Library of Congress integration), and Hallucination Tracker (crowdsourced AI verification with crypto bounties). Technical Stack - Azure Data Factory, Logic Apps, Function Apps, Microsoft Fabric, Power BI, Dynamics 365, Multi-Agent AI, Voice AI (ElevenLabs), Python, React, TypeScript, Terraform, Polkadot, WebXR, Computer Vision Cloud & Infrastructure - Azure Data Factory, Azure Logic Apps, Azure Function Apps, Azure SQL Database, Azure API Management, Azure DevOps, Azure Kubernetes Service (AKS), Azure App Service, Terraform, Infrastructure as Code (IaC), ARM Templates, CI/CD Pipelines, GitHub Actions Why Choose Me: Enterprise-grade cloud architecture meets innovative AI development—proven ROI with technical depth across the Microsoft ecosystem and emerging technologies.

I'm Adrian Roșian, a seasoned software consultant with over 16 years of experience, specializing in code review, due diligence, and project planning. With a background in computer and military science, I've developed custom solutions using PHP, Python, JavaScript but did not shy away from more exotic languages such as Haskell, Clojure and Scala. I have worked for projects of all size in travel and banking. Why Hire Me? 1. 👨🏻‍💻 Code Review: I thoroughly analyze your software architecture, code, and data to ensure top-notch quality, security, and compliance. 2. 🕵🏻 Due Diligence: I evaluate your software, processes, and teams to provide a clear picture of your current setup and what improvements are needed. 3. 📊 Planning: Got a groundbreaking idea? I assess feasibility, brainstorm the best tech stack, and help set up your technical team. I can even serve as an interim CTO! My leadership experience has a say here. Professional Background: As a Freelance Web Developer since 2009, I've created custom web solutions using technologies like PHP, Python, and JavaScript, but i also enjoy Haskell, Clojure and Go. I've built everything from eCommerce payment plugins to private jet booking systems. At WhiteCity Code, I lead teams to develop innovative solutions that enhance business operations. My teaching experience at Babes Bolyai University keeps me on the cutting edge of computer science. Why Trust Me? With a strong academic background in computer and military science, I bring a diverse skill set in development and project management. I've led successful projects like merchant acquisition portals and file encryption tools. Beyond my technical expertise, I value building strong, collaborative relationships with my clients. I'm here to understand your unique needs and tailor my services to help you succeed. Let's work together to make your IT project a success! Best regards, Adrian Roșian

I have 12+ years of hands on in Big data technology based on Scala Framework. Designed Architecture for several projects. Also, I'm proficient in Akka , spark and this technology has currently a priority in my area of interests. Experienced multiple Domains. My Skill set include - Scala, AWS, Angular 2+ Scala stack: - Akka - Play Framework - Spray (Akka IO) - Spark - Play Env tools: - PostgreSQL / MongoDB / ElasticSearch - RabbitMQ - Kafka Front-end technologies: - Angular 2+ I am GCP certified and have hands-on experience with multiple cloud providers, including GCP, AWS, and OpenShift. I have been working on AWS services for several years, and my recent projects include: Building Terraform modules to build CI/CD pipelines with AWS CodePipeline 1. Designing and developing software applications 2. Automating and managing infrastructure with Terraform 3. Deploying and operating applications in the cloud 4. Working with a variety of cloud technologies, including AWS, GCP, and OpenShift I am passionate about security and cost optimization, and I believe this sets me apart from other consultants. I am always looking for ways to improve the security of my client's systems and reduce their costs. I am a highly skilled and experienced IT professional with a passion for cloud computing. I am confident that I have the skills and knowledge necessary to be a valuable asset to your team. My focus is on building practical business solutions and looking for opportunities to expand my knowledge and take part in projects that present a challenge. Dedicated to exceeding your expectations with highest-quality solutions, delivered on time and to your precise needs.