I am a Computer Science Ph.D. graduate from the University of California, Riverside. I have extensive experience: - Designing novel graph based Unsupervised Machine Learning methods and on the relevant research literature. - As a Teaching Assistant in both graduate and undergraduate university Machine Learning courses. - Designing software in MATLAB. - Creating high quality technical reports in LaTeX. - Navigating the Linux ecosystem and in bash scripting. I will be able to assist you with tasks such as: - Getting a deeper and clearer understanding of various Data Science and Machine Learning concepts. - Research projects involving Machine Learning, and particularly graphs and Mathematical Optimization. - Non-research Data Science tasks like data scraping, data visualization, MATLAB scripting etc. If you think my skills align with your task at hand, feel free to reach out and I will be happy to discuss with you potential solutions I can provide :)

I am a highly skilled data engineer with over five years of professional experience and a background in computer science. I have a strong foundation in programming languages such as Python, which I have been using for the past six years. I have completed a number of successful projects using technologies like AWS, Azure, Airflow, and Databricks, and have experience working on ETL development and data pipeline management. In addition, I have completed internships in machine learning and hold a Microsoft certification as an Azure Data Scientist Associate, and Databricks Associate certification. I am eager to continue my career as a freelance data engineer and am confident that my skills and experience will be an asset to any team. Please do not hesitate to contact me with any questions or assignments to test my abilities. I look forward to the opportunity to work with you.

ML Engineer — Computer Vision, Claude/LLM Agents & Audio AI I build deep learning systems across vision, language, and audio — and ship them to production, not just notebooks. I've trained models from scratch, fine-tuned transformer architectures, and deployed to Core ML on real client engagements (including a 400+ hour model-build contract). 5.0 stars across every reviewed project. Computer Vision Image classification, detection, and feature extraction with CNN and transformer (ViT/AST-family) architectures. My core audio work runs on spectrogram based vision models, so the same deep-learning toolkit — convolutions, attention, transfer learning — carries directly into image and video tasks. Claude / LLM Agents & Automation AI agents, automation workflows, and reasoning assistants built on Claude and OpenAI APIs. RAG pipelines, tool-use/agentic systems, and LLM integrations that connect models to real data and real actions. Audio & Speech AI Instrument/audio classification, feature extraction, and transformer fine-tuning (AST, Wav2Vec2, HuBERT), plus generative audio with AudioCraft/MusicGen. Built multiple audio models end to end — clients describe me as central to their ML work. Deployment & Engineering TensorFlow/PyTorch → Core ML export, FastAPI inference services, and optimized real-time / batch pipelines. I handle the messy export and optimization steps end to end. Top Rated · 100% Job Success · 5.0 across all reviewed jobs. I move fast and build things that actually deploy.

✅ EXPERT-VETTED 🎖 TOP RATED PLUS (Top 1% 🥇 of GLOBAL talent on Upwork). I am a Data Scientist, AI, Machine Learning, and Software Engineer with over 9 years of professional experience building software at any scale. I used to work at large companies such as Yandex as well as in many successful startups. Now I am running Shapeion Technologies, providing software and ML consulting for companies around the globe, to accomplish their business goals. I have been managing startup projects with client teams and have helped draft product roadmaps, planning, and talent acquisition. I have a good network of engineer talent who can help build product MVPs effectively. Products made by me helped startups to raise millions of USD. I have a team of 15 professional Data Annotation specialists who have completed many projects in the Natural Language Processing and Computer Vision fields. They are fluent in the following data annotation platforms: CVAT, Doccano, and ProdiGy. Here is a brief summary of my expertise: ● 2000+ worked hours and 30+ projects completed PERSONALLY only at Upwork ● Created MVPs for various startups and companies that raised millions of USD ● Helped 30+ businesses to reach their goals in time I am proficient in: ✅ Data Science and Machine Learning: ● classification and regression tasks ● time-series prediction (ARIMA, ...) ✅ Natural Language Processing (NLP): ● Text classification (including Sentiment Analysis, Aspect-Based Sentiment Analysis) ● Named Entity Recognition (NER, automatic extraction of relevant entities, like names, locations, dates, etc) ● Chat-Bots (Deep Learning or Rule-Based chat-bots for various domains) Frameworks: SpaCy, HuggingFace, Transformers, NLTK, Langchain, Pinecone Annotation platforms: Doccano, ProdiGy, Clarifai Architectures: BERT, LongFormer, GPT-3, GPT-4 Domains: MedTech, E-Commerce, HRM, AD-tech ✅ Computer Vision (CV): ● Image Classification ● Object Detection (YoLo) ● Instance segmentation / Semantic Segmentation (Mask R-CNN) ● Optical Character Recognition (OCR) Frameworks: PyTorch, TensorFlow, Keras, DarkNet, Detectron, Detectron2, Fast.ai Annotation platforms: CVAT, Clarifai Domains: Medical Imaging, CCTV (surveillance), NFT, LegalTech (document analysis) ✅ Full-Stack Development: ● Backend (FastAPI, Flask, Django, django-rest-framework, Node.js, JavaScript, PHP, Yii Framework) ● Frontend (Vue.js, React.js) ● WordPress ● CI/CD (Docker, docker-compose, Kubernetes, k8s, Ansible, Terraform) ● Databases (PostgreSQL, MySql, MongoDB, OracleDB, ArangoDB, ClickHouse, GraphDB) ● AMQ (Celery, RabbitMQ) Technical skills: Python, Javascript, Go, Java, Spring Boot, Gradle, Node.js, Angular, Tensorflow, Keras, NumPy, Serverless Frameworks, Docker, Terraform, Ansible, Kubernetes, Jenkins, Spinnaker, GitOps, DataOps, AWS. GCP, Azure, JAMstack, GraphQL, MEAN Stack, React, Redux, ES6, Express, MongoDB, Redis, Linux, Etcd, Consul, Kinesis, Redshift, DynamoDB, Spark, Hadoop, Kafka, PostgreSQL, MySQL, ELK, Git, Flask, and Django. Thanks for your consideration! "Alexander was excellent. He managed expectations well and overperformed on the work. Communications were excellent. He saved us 100s of hours of work by automating our processes. He's more expensive than many people on Upwork, but appears to be exceptionally good an reliable." - Tom Mather

I work on machine learning and statistical data analysis with Python. I have a Master’s in Computational Physics, and I’m used to working with noisy data, testing models carefully, and turning complex data into clear results. What I can help with: Machine learning Statistical analysis Data cleaning Python automation Data visualization Clear reports

📊 PhD Student in Statistics & Data Science Passionate about statistics, data science, and machine learning, I apply analytical techniques to extract insights and manage data efficiently. Skilled in Python, R, and data entry tools, I ensure accuracy and organization in handling large datasets. 🔹 Key Skills: Statistics, Data Science, Machine Learning, Data Entry 🔹 Certifications: Data Analysis, Machine Learning, Python & R 🔹 Projects: Data cleaning and preprocessing, statistical analysis of large datasets, predictive modeling, automated data entry and management Committed to delivering precise, data-driven solutions with expertise in both analysis and structured data management. 🚀

I help post-Series-A and enterprise teams turn messy data into the dashboards their executives actually open — and increasingly, the AI agents that act on what those dashboards show. 12 years in BI and data engineering. Top Rated Plus on Upwork for a decade. 200+ clients, 12,000+ hours billed, $300K+ earned here. Where I've worked at depth: - Google (Chronicle / Siemplify) - built their entire BI infrastructure as their first BI hire; stayed five years through the Google acquisition. - British American Tobacco (MAF Group) - Head of Data; built a team of 15 and 100+ pipelines. - Boston Consulting Group - Lead Tableau + Dataiku mentor for 20+ analysts. - Teambuilder (Google Startups) - Tableau→Looker multi-tenant architecture, still active. Three things I do better than most: - BI architecture, not just dashboards. Tableau Certified Architect (2025), Google Certified Professional Data Engineer. I design the warehouse + semantic layer + governance, not just the front-end chart. - Migrations without business downtime. Power BI ↔ Tableau, Cognos → Power BI, Tableau → Metabase/Superset, GA/Adobe → BigQuery. I've done the messy ones. - AI layered on top of BI. Currently building Claude/MCP-driven workflows for proposal analysis, dashboard QA, and decision-agent prototypes. Enrolled in IIT Kharagpur's GenAI + Agentic AI programme (May 2026 – Jan 2027). ⭐⭐⭐⭐⭐ 5.00 across 80+ Jobs 🥇𝗢𝗳𝗳𝗶𝗰𝗶𝗮𝗹 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗗𝗲𝘀𝗸𝘁𝗼𝗽 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 𝗮𝗻𝗱 𝗦𝗲𝗿𝘃𝗲𝗿 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 🥇𝗢𝗳𝗳𝗶𝗰𝗶𝗮𝗹 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗟𝗼𝗼𝗸𝗲𝗿 / 𝗟𝗼𝗼𝗸𝗠𝗟 𝗗𝗲𝘃 🏆Top Rated Plus for 10 Years, 200+ clients, 12000+ hours worked 🏢𝗘𝗺𝗶𝗻𝗲𝗻𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗜 𝗵𝗮𝘃𝗲 𝘄𝗼𝗿𝗸𝗲𝗱 𝘄𝗶𝘁𝗵 (𝗝𝘂𝘀𝘁 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗼𝗳 𝘁𝗵𝗲𝗺) » Google (Google Chronicle) » Boston Consulting Group (BCG) » British American Tobacco » Teambuilder » Hamptons (Emaar) 💡 𝗥𝗲𝗮𝗹 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝗜 𝗵𝗮𝘃𝗲 𝘀𝗼𝗹𝘃𝗲𝗱 » Digital Marketing Dashboards integrating Google Ads, Facebook Ads, Reddit Ads data » Tracking Cost, LTV, CLTV, ROAS, CAC, RoI for Digital Marketing Agencies and Companies » eCommerce BI pipelines and dashboards integrating data from Shopify, Magento, Amazon API and various other eCommerce sources » Web Analytics dashboards integrating Google Analytics, Adobe Analytics and Posthog 💡4 𝗥𝗲𝗮𝘀𝗼𝗻 𝘄𝗵𝘆 𝘆𝗼𝘂 𝘄𝗶𝗹𝗹 𝗻𝗼𝘁 𝗿𝗲𝗴𝗿𝗲𝘁 𝗰𝗵𝗼𝗼𝘀𝗶𝗻𝗴 𝗺𝗲 ✔️ 99% Client Success Ratio. My clients particularly love me because I stick through particularly during the hard days ✔️ All Round expertise - Experience with wide variety of tools in Data Visualization, Data Engineering, Data Governance and Gen AI prepares me for complex all-rounder expertise ✔️ 2 years - Average Client Retention time period since I started in Upwork ✔️ Communication & Business Knowledge - I understand what the client wants even though it's a small technical work. And so I deliver what they want and what they need 🛠️𝗠𝘆 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 𝘿𝙖𝙩𝙖 𝙑𝙞𝙨𝙪𝙖𝙡𝙞𝙯𝙖𝙩𝙞𝙤𝙣 𝙏𝙤𝙤𝙡𝙨 ✔️ Tableau Desktop ✔️ Tableau Server ✔️ Looker ✔️ LookML ✔️ Looker Studio ✔️ Metabase ✔️ Qlik ✔️ Domo 𝘿𝙖𝙩𝙖 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧 / 𝘿𝙖𝙩𝙖 𝙒𝙖𝙧𝙚𝙝𝙤𝙪𝙨𝙚 ✔️ Google Bigquery (Google Certified Professional Data Engineer) ✔️ Snowflake ✔️ Postgres ✔️ Azure Data Lakehouse ✔️ Microsoft SQL Server ✔️ Amazon Redshift ✔️ MongoDB ✔️ Python 𝘿𝙖𝙩𝙖 𝙎𝙤𝙪𝙧𝙘𝙚𝙨 (𝘼𝙘𝙦𝙪𝙞𝙨𝙞𝙩𝙞𝙤𝙣) ✔️ Google Analytics (UA, GA4) ✔️ Adobe Analytics ✔️ Shopify ✔️ Magento ✔️ Amazon eCommerce ✔️ Qualtrics ✔️ IMS Claims ✔️ Google Ads ✔️ Facebook & Instagram Ads ✔️ Reddit Ads ✔️ Salesforce CRM ✔️ Pipedrive CRM ✔️ Go High Level CRM 𝗖𝘂𝘀𝘁𝗼𝗺 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗜 𝗼𝗳𝗳𝗲𝗿 ✔️ Tableau Desktop Report Creation ✔️ Tableau Server Administration ✔️ Tableau Server Installation ✔️ Tableau Server Upgrade ✔️ Tableau Server backup automation ✔️ Tableau Server Automated Metadata extraction ✔️ Power BI to Tableau Migration ✔️ Excel or Google Sheets to Tableau Migration ✔️ Tableau Prep Flow creation ✔️ Tableau Pulse ✔️ Tableau to Power BI Migration ✔️ IBM Cognos to Power BI Migration ✔️ Tableau to Metabase Migration ✔️ Tableau to Apache Superset Migration ✔️ Tableau Rest API ✔️ LookML Data Modeling and Semantic Layer Development ✔️ Looker Implementation, Setup, and Data Source Integration ✔️ Embedded Analytics and Looker API Integration ✔️ Looker Performance Optimization and Health Checks ✔️ LookML Git Setup ✔️ Rapid Metabase Deployment & Setup ✔️ Metabase User Enablement & Self-Service Training ✔️ Metabase/SQL Optimization & Caching ✔️ Data Modeling & Metadata Governance

Welcome! to my profile. I hold good experience in providing AI/ML and Data Science solutions. I am passionate about turning complex data into actionable insights and creating intelligent systems that drive innovation. What I Do: 1. Generative AI Expertise - Large Language Models (LLMs): Proficient with GPT-4, BERT, and other advanced models to build applications with natural language understanding and generation. - Image Generation: Utilize tools like DALL-E and Stable Diffusion for creating high-quality, AI-generated images. - Text-to-Speech & Speech-to-Text: Expertise in Google Cloud Speech-to-Text, OpenAI’s ChatGPT, and other speech technologies. 2. Data Science Mastery - Machine Learning: Skilled in TensorFlow, PyTorch, and scikit-learn to build and deploy sophisticated ML models. - Natural Language Processing (NLP): Experience with spaCy, NLTK, and Gensim for extracting insights from textual data. - Data Visualization: Proficient in Seaborn, and Tableau for creating compelling visual representations of data. - Big Data Technologies: Hands-on with Apache Spark and Airflow for managing and processing large datasets efficiently. 3. Skills: - Programming Languages: Python, SQL, and C++ for a versatile approach to data science and AI challenges. - Data Pipelines: Design and implement ETL processes for seamless data integration and transformation. - Cloud Platforms: Expert in AWS / Azure for deploying scalable AI/ML solutions. Why Work With Me? - Innovative Solutions: I leverage the latest technologies to deliver groundbreaking AI and data science solutions. - Versatile Skill Set: From deep learning to data visualization, I handle every aspect of your data needs with expertise. - Result-Oriented: Focused on delivering actionable insights and high-impact results. - Client-Centric Approach: Clear communication, timely delivery, and exceeding your expectations are my priorities. My Promise I combine creativity with technical excellence to bring your AI and data science projects to life. Whether you're looking to build advanced AI models or need deep insights from your data, I’m here to help turn your ideas into reality. Ready to elevate your project with cutting-edge AI and data science? Let’s create something extraordinary together. Thanks!

"Your business decisions are only as good as the data behind them. Are you mapping your future, or just guessing?" Let’s be honest: In today’s market, location data geocoding and reverse geocoding is often the most underutilized asset in a company's toolkit. Whether you’re a Real Estate developer, a Commercial Farmer, or managing Logistics, ignoring spatial intelligence isn't just a missed opportunity. It’s a financial risk. I don't just "make maps." I build Spatial Intelligence Systems. With over 5 years of hands-on experience and a 100% Job Success Score, I help clients turn massive, messy datasets into clean, automated, and interactive dashboards that actually make sense for their bottom line. From calculating 21 sq km of glacier recession to building real-time crop phenology monitors for rice production, I’ve seen how the right spatial data can save millions. ✅ How I can help your business grow: Risk Mitigation (Real Estate & Insurance): I don’t just show you a map; I analyze flood zones, terrain stability, and site suitability. I help you see the "red flags" before you commit capital. Precision Agriculture (Ag-Tech): I automate the boring stuff. Using Google Earth Engine (GEE), I build pipelines for NDVI and multispectral analysis so you can monitor crop health and yield without manual checking. Operational Efficiency (Logistics & Utilities): I optimize routes and manage assets (like FTTH or Power Plants) with sub-meter precision, cutting down fuel waste and operational lag. Interactive Insights: I transform decades of satellite archives into GEE Dashboards that your team can actually use to monitor changes in real-time. 🛡️ My Tech Arsenal (What I use to get results): Cloud Power: Google Earth Engine (GEE) for large-scale time-series and LULC analysis. Automation: Python (ArcPy, GeoPandas, Rasterio) My goal is always to turn a week’s worth of manual work into a 10-minute automated script. Desktop GIS: ArcGIS Pro & QGIS (Expert level). Specialized Sensing: LiDAR point cloud classification and RADAR (SAR) for flood and terrain monitoring. Industries I’ve Empowered: Real Estate | Precision Agriculture | NGOs & Sustainability | Urban Planning | Logistics & Safari Tourism | Mining & Energy. I’ve delivered $12,000+ worth of complex projects by focusing on one thing: Accuracy. If your data isn't precise, it’s useless. "If you haven't audited your spatial data yet, you're likely operating in the dark. Let’s have a quick chat and turn your location data into your biggest competitive advantage."

I am a Senior AI/ML Engineer with 6+ years of production experience building intelligent systems for clients across the USA, UK, Middle East, and Europe, 50+ projects delivered, 50+ clients served, 100% Job Success on every Upwork engagement. I operate as a hands-on AI technology partner through the full development lifecycle, from initial problem scoping and data engineering to model training, system integration, cloud deployment, and long-term maintenance. My work spans startups, funded ventures, and government institutions, including a production deployment under the United Nations Development Programme (UNDP) for the Government of Balochistan. I specialise in building AI systems that survive real-world conditions, not controlled experiments. This includes fine-tuning LLMs on custom datasets, designing multi-agent pipelines with LangGraph and CrewAI, building RAG architectures with Query Expansion and Cross-Encoder Re-ranking, and deploying computer vision systems on edge hardware. I have also engineered 10+ full-stack software products that are live and actively used by real clients today. My engineering philosophy: the last 20%, deployment, latency optimisation, and production hardening, is where most AI projects fail. That is exactly where I focus. ⦿ Industries and Domains Served Government and Public Sector, FinTech and Accounting, Real Estate and PropTech, Crypto and Web3, Career Intelligence and HR Tech, Transportation and Smart Cities, Healthcare, Research and Academia ⦿ Systems and Solutions Delivered AI Agents and Multi-Agent Systems, RAG Pipelines, LLM Fine-Tuning (SFT, LoRA, QLoRA), Custom Transformer Training from Scratch, Computer Vision Systems, NLP Pipelines, AI SaaS Platforms, Facial Recognition, Sign Language Detection, AI Voice Assistants, Crypto Intelligence Agents, Financial Forecasting, Data Dashboards, Data Engineering ⦿ Selected Work Mind of Pepe — Crypto AI Agent Fine-tuned LLaMA on real trading agent data to build a persona-driven crypto Twitter agent achieving 98% signal accuracy. Integrated a RAG system with live CoinMarketCap data and sentiment analysis into a gated meme coin trading terminal. Drove viral community engagement. Stack: LLaMA, SFT Fine-Tuning, RAG, CoinMarketCap API, Twitter API AI Receptionist — Jumper Media Full voice AI receptionist handling intelligent call routing, scheduling, follow-ups, and outbound calls autonomously. Optimised response latency to 850ms for a seamless human-like experience. Stack: n8n, Telnyx, ElevenLabs, Python Aqariiq.ai — AI Real Estate Platform (UAE) Full-stack AI platform with ML property valuation, NLP natural language search, smart recommendations, and real-time market dashboards. Built for Arabic and English markets. Stack: Machine Learning, Django, Next.js, PostgreSQL, AI Agents OnTrack Careers — AI Career Intelligence LangGraph multi-agent system scoring AI job-replacement risk, identifying skill gaps, and recommending personalised career pathways and development plans. Stack: LangGraph, OpenAI, FastAPI, Python ⦿ What Sets Me Apart 2x Kaggle Expert with published datasets and notebooks across reinforcement learning, computer vision, LLMs, NLP, and data science — recognised by the global ML community with 8 bronze medals and a dataset that reached 3rd place trending globally. I have worked on both sides — as a research assistant at the University of Balochistan CS Department training detection models that contributed to academic publication, and as a commercial engineer shipping products under tight client deadlines. That combination means I bring both depth and delivery. Unlike most AI freelancers who own one layer — modelling, or APIs, or deployment — I cover the full stack: from raw data to trained model to deployed API to monitored production system. One engineer, one contract, complete ownership. ⦿ What I Build For You AI Agents and Multi-Agent Systems, LangGraph, CrewAI, LangChain RAG Pipelines and Knowledge Systems, Chroma, Pinecone, Re-ranking LLM Fine-Tuning on Your Data, LoRA, QLoRA, SFT, LLaMA, HuggingFace Computer Vision Systems, Detection, Tracking, Segmentation, YOLO NLP Pipelines, Classification, Extraction, Translation ML Pipelines and MLOps, MLflow, DVC, Airflow, Docker, AWS Full-Stack AI APIs and SaaS, FastAPI, Django, PostgreSQL Data Science and Analytics, Forecasting, Dashboards, Power BI ⦿ Core Tech Stack AI and ML: PyTorch, TensorFlow, HuggingFace, Scikit-learn, XGBoost Generative AI: OpenAI, LLaMA, LangChain, LangGraph, CrewAI, Groq Vision: OpenCV, YOLOv8, ViT, MediaPipe, OAK-D, Jetson Nano Cloud: AWS, GCP, Azure, Docker, Kubernetes Backend: FastAPI, Django, Flask, PostgreSQL, MongoDB, Redis MLOps: MLflow, DVC, W&B, Airflow, GitHub Actions, ONNX Available 30+ hrs/week Building something with AI? Message me, let us make it production-ready.