🏅 Top Rated AI/ML Expert on Upwork (Top 1%) 🏅 AI Product Engineer | LLM Applications | Generative AI | Agentic Workflows 🏅 10+ Years of Experience | Built Solutions for Startups, Enterprises & Global Clients 🏅 Experience Across Microsoft, Google, American Express & High-Growth Startups 🏅 Expert in Python, OpenAI, Claude, LangChain, LangGraph, AWS, SQL 🔹 LLM Applications & Generative AI Products I build end-to-end LLM-powered applications that solve real business problems—from idea to deployment. My work includes document intelligence systems, AI copilots, enterprise search, summarization engines, Q&A systems, and workflow automation platforms. Built solutions for: ✔ Due diligence copilot for investment workflows ✔ Legal AI research platforms ✔ Resume/CV parsing applications ✔ AI-powered document summarization systems ✔ Knowledge retrieval platforms using RAG 🔹 AI Agents & Workflow Automation I design intelligent AI agents that automate repetitive workflows and improve operational efficiency. Examples include: ✔ Multi-agent workflows ✔ AI automation using OpenAI, Claude, LangChain & LangFlow ✔ Process automation using n8n ✔ Document processing pipelines ✔ Internal business workflow automation 🔹 NLP & Custom Machine Learning Solutions Strong background in NLP and machine learning beyond LLMs, including: ✔ Named Entity Recognition ✔ Classification Models ✔ Clustering Models ✔ Recommendation Systems ✔ Text Processing Pipelines ✔ Custom ML model development 🔹 Predictive Analytics & Risk Modeling My foundation comes from years of building machine learning models for large enterprises including Google and American Express. Experience includes: ✔ Credit risk modeling ✔ Fraud analytics ✔ Customer segmentation ✔ Forecasting ✔ Marketing analytics ✔ Behavioral modeling 💼 Whether you're a startup building your first AI product or an enterprise looking to integrate Generative AI into existing workflows, I can help with: AI Strategy → Architecture → MVP Development → Deployment I combine deep analytical expertise with hands-on experience building real-world AI products that businesses actually use.

Most data pipelines don’t fail because of code. They fail because they weren't built for scale. With 8+ years of experience engineering data systems at companies like Microsoft and Coreweave, I help businesses move away from "brittle prototypes" to production-grade, scalable infrastructure. I don’t just move data; I build the "Source of Truth" that leadership and AI systems actually trust. 💬What I Solve for You: Productionizing AI Pipelines: Hardening Python prototypes into scalable RAG and LLM infrastructures (AWS/Azure). ➔Infrastructure-as-Code: Building automated, modular ETL/ELT pipelines that don't require daily manual fixes. ➔The "One-Source" Dashboard: Integrating messy data from APIs, SaaS (Shopify, HubSpot), and DBs into clean Snowflake/BigQuery layers. ➔Performance Recovery: Optimizing slow SQL queries and high-cost cloud warehouses to save you thousands in monthly spend. 🛠 Tech Stack: Languages: Python (FastAPI, Pandas, PySpark), SQL Cloud & Warehousing: AWS (Glue, Lambda, S3), Snowflake, BigQuery, Azure Orchestration: Airflow, dbt, GitHub Actions Data Ops: API Integrations, Vector DBs, Data Validation ✅ Why Me? 8+ Years Experience: I’ve seen what breaks at the enterprise level and how to prevent it in your startup. Speed over Perfection: I focus on shipping high-impact systems that drive revenue, not just technical documentation. Transparent Communication: You get regular updates and a partner who challenges requirements to find better solutions. Ready to clean up your data debt? 📩 Message me for a FREE 15-minute technical consultation. Let’s discuss your architecture and see if I’m the right fit for your system.

⭐⭐⭐ 𝐓𝐨𝐩-𝐑𝐚𝐭𝐞𝐝 𝐅𝐫𝐞𝐞𝐥𝐚𝐧𝐜𝐞𝐫 | 𝟓+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝑨𝑰 & 𝑫𝒂𝒕𝒂 𝑺𝒄𝒊𝒆𝒏𝒄𝒆 ⭐⭐⭐ Hi there! I’m 𝐈𝐦𝐚𝐚𝐝 𝐔𝐥𝐥𝐚𝐡, a 𝐒𝐞𝐧𝐢𝐨𝐫 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 with a 𝐌𝐚𝐬𝐭𝐞𝐫’𝐬 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 and 𝐨𝐯𝐞𝐫 𝟓 𝐲𝐞𝐚𝐫𝐬 of 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 delivering 𝐡𝐢𝐠𝐡-𝐢𝐦𝐩𝐚𝐜𝐭 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬. I specialize in 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏), 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧, 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞, helping businesses 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 raw data to 𝐮𝐧𝐥𝐨𝐜𝐤 𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬 and 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐀𝐈-𝐝𝐫𝐢𝐯𝐞𝐧 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 and 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐭𝐚𝐬𝐤𝐬 using 𝐀𝐈. ⦿ 🚀 𝑾𝒉𝒂𝒕 𝑰 𝑶𝒇𝒇𝒆𝒓? » 🤖 𝐄𝐧𝐝-𝐭𝐨-𝐄𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 ✅– From data preprocessing to deployment. » 🧠 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐍𝐋𝐏 & 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 ✅– Chatbots, text analysis, image recognition, and more. » 📊 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 & 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 ✅– Turn raw data into business intelligence. » 🐍 𝐂𝐮𝐬𝐭𝐨𝐦 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 ✅– Automated scripts, data pipelines, and AI integrations. » 📈 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐃𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 ✅– Present complex data clearly and thoughtfully. ⦿ 🛠 𝑲𝒆𝒚 𝑬𝒙𝒑𝒆𝒓𝒕𝒊𝒔𝒆: » 🤖 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐀𝐈: Predictive Modeling, Deep Learning, Regression, Classification, Time Series » 📝 𝐍𝐚𝐭𝐮𝐫𝐚𝐥 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 (𝐍𝐋𝐏) – Chatbots, Text Analysis, Sentiment Analysis, LLMs » 🖼️ 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 – Image Recognition and Classification, Object Detection, OCR » 📊 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 – Forecasting, Anamoly Detection, Data-Driven Decision Making, Business Intelligence » 🐍 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 – Automation, API Development & Integration, Data Pipelines » 📈 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 – Matplotlib, Seaborn, Power BI & Tableau ⦿ 🛠 𝑻𝒆𝒄𝒉 𝑺𝒕𝒂𝒄𝒌 & 𝑻𝒐𝒐𝒍𝒔: » 🐍 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 – Python, R, C++ » 📦𝐌𝐋 & 𝐃𝐋 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: TensorFlow, Keras, Scikit-learn, OpenCV, PyTorch, NLTK » 🗄️ 𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐢𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 & 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 – Pandas, NumPy, SciPy & SQL » 📊 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 – Matplotlib, Seaborn, Tableau, and PowerBI » 🖥️ 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬 – Jupyter Notebook, PyCharm, Spyder » ☁️ 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 – AWS, Google Cloud, Flask, FastAPI ⦿ 💡 𝑾𝒉𝒚 𝑯𝒊𝒓𝒆 𝑴𝒆? » 🚀 𝐏𝐫𝐨𝐯𝐞𝐧 𝐓𝐫𝐚𝐜𝐤 𝐑𝐞𝐜𝐨𝐫𝐝: Successfully delivered ML and AI solutions across various industries. » 🎯 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬-𝐅𝐨𝐜𝐮𝐬𝐞𝐝 𝐀𝐈: I align AI/ML solutions with your business goals to maximize impact. » 💡 𝐂𝐮𝐭𝐭𝐢𝐧𝐠-𝐄𝐝𝐠𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: Skilled in Scikit-learn, TensorFlow, Keras, OpenCV, Pandas, NumPy, NLP libraries (NLTK, SpaCy), and more. » ⚡ 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐭 & 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞: I prioritize accuracy, efficiency, and timely delivery in every project. » 📞 𝐑𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Regular updates & well-documented code. 📩 𝑳𝒆𝒕'𝒔 𝑩𝒖𝒊𝒍𝒅 𝑺𝒐𝒎𝒆𝒕𝒉𝒊𝒏𝒈 𝑨𝒎𝒂𝒛𝒊𝒏𝒈! If you're looking for a dedicated, results-driven data scientist to help with your ML/AI projects, let’s connect! I’m excited to collaborate and bring data-driven innovation to your business. 📌 Click "𝑯𝒊𝒓𝒆" to get started!

𝗜 𝗮𝗺 𝗮 𝘀𝗲𝗻𝗶𝗼𝗿 𝗳𝘂𝗹𝗹-𝘀𝘁𝗮𝗰𝗸 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝘄𝗶𝘁𝗵 𝟭𝟬+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲. 𝗠𝘆 𝗧𝗲𝗰𝗵 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: Python, Django, Flask, FAST API Automation- Zapier, Make.com, N8N - both workflow and task automations PHP, Laravel, WordPress, Drupal, MySQL, HubSpot CMS, HubL, HubSpot CRM JavaScript AI development- OpenAI LLM, Gemini, LLAMA and other open-source models AI Tools Expertise: Loveable, Cursor AI, Base 44, Replit and related ones. REST API | RESTful API | GraphQL | WebSockets OAuth 2.0, JSON Web Tokens (JWT) Deep Learning Frameworks like TensorFlow, PyTorch, Scikit-learn. Natural Language Processing (NLP) Frameworks like Natural Language Toolkit (NLTK), Hugging Face, LangChain Blockchain My skills extend to Web scraping, data extraction and data mining using BeautifulSoup, Selenium, Scrapy, Lxml, Urllib3, MechanicalSoup, Urllib, Playwright, Pandas, Requests, ZenRows, Puppeteer(Headless Browsers) etc. 𝟯𝗿𝗱 𝗣𝗮𝗿𝘁𝘆 𝗔𝗣𝗜 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗜 𝗵𝗮𝘃𝗲 𝗱𝗼𝗻𝗲 𝗮𝗿𝗲 GPT-4o, GPT-4, and GPT-3.5 Turbo, Salesforce, Braintree, Escrow API, Stripe API, Expedia, Beds 24, Slack, Twilio, Shopify, Formstack, Shipbob, Shippo, DocuSign, e-Verify, Meta ADS API, Google Drive API, LiveChat API, HubSpot API, Google Maps API, Google Places API, Google Earth API, Gmail API, Monday CRM API, and many many more. 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗜 𝗵𝗮𝘃𝗲 𝘄𝗼𝗿𝗸𝗲𝗱 𝘄𝗶𝘁𝗵- Fintech, Forex, Real Estate & Property Management, Financial Institutions, eCommerce, Healthcare, Medical, Automotive, Construction, Education/ Ed-Tech, IT & Tech, Tourism and Hospitality and some others. I am available round the clock and please feel to reach out to me for your project requirements or initial consultation call. I'd be happy to work with you. Thanks & regards, Shekhar

I am working as full-time ML engineer at META. In past I have worked in Google, Amazon, and LinkedIn, where I shipped over 100 Machine Learning projects and Generative AI models into production. Today, more than 210,000 YouTube subscribers and 100s of developers on GitHub follow my work in Machine Learning, Artificial Intelligence, Agentic AI, Deep Learning, RAG, and Gen AI. ✅ My No-Risk Guarantee (100% Money-Back): I stand behind my work with a 100% Money-Back Guarantee. If my deliverables don't meet your expectations, you won't pay a single penny. NO TERMS AND CONDITIONS. NO QUESTIONS ASKED. My Credentials & Authority: ⭐ Expert Vetted Freelancer (Ranked in the top 1% globally) 🏆 💼 Current Role: Full-time Engineer at Meta 🎯 🏛️ Past Experience: Full-time Engineer at Google, Amazon, and LinkedIn 🚀 🎓 100+ certifications in AI and Machine Learning from top institutions ✅ 🥇 Ranked Top 10 Elite AI Freelancer on multiple platforms 📈 🎥 Creator of a leading YouTube channel with 200,000+ subscribers ✨ 💻 Leads a developer community of 100s on GitHub 💻 🚀 The Value I Deliver: I specialize in helping Small to Medium Businesses and Early-Stage Startups implement the same scalable Machine Learning and Generative AI systems that top tech companies use to create big positive impact in the world. I turn complex ideas into profitable, production-ready systems, backed by a proven track record that has contributed to $10M+ in client revenue and the successful deployment of over 150 unique AI models. 💡 Why Choose Experience Over Potential?: You are hiring me for my experience, not potential. The reality is choosing the wrong freelancer can set you back months, drain your budget, and cost you your competitive edge. I help you avoid these pitfalls. As seen with global giants like NVIDIA vs. Intel, a single wrong step in AI adoption can decide the winners and losers. I offer you high-stakes reliability. 👀 Want proof? Scroll through my profile to see what my clients have to say in their testimonials; The results speak for themselves. 🙏 Positive Impact on Society: On my Youtube channel, I occasionally showcase how a portion of my Upwork earnings contributes to positive social impact, all made possible by amazing clients like you. I am also the creator of the Generative AI-101 series. 🤝 Ready to Integrate AI into Your Business? Text me here on Upwork to discuss your project roadmap. I will simplify the complex AI process and ensure your project is built on the same robust frameworks used by Big Tech companies. P.S.: Because of my current full-time role at Meta, I have very limited bandwidth and am only able to reply to a few select clients. If you experience a delay in my response, I appreciate your patience.

I build high-performance data extraction systems, web scraping infrastructure, and automation pipelines that transform raw data into structured, reliable datasets ready for reporting, analytics, and business decisions. My focus is on delivering production-grade data systems - not just scripts, but scalable solutions that run on a daily basis, handle edge cases, and integrate seamlessly into your workflows. I work with startups, agencies, and data-driven businesses that need reliable data collection, automation, and structured outputs at scale. 🔹 Data Extraction & Web Scraping I develop robust web scraping systems capable of handling complex, large-scale data extraction tasks: • Web scraping from dynamic websites (JavaScript, pagination, auth) • Data extraction from directories, marketplaces, SaaS platforms • Scraping at scale with anti-bot handling & optimization • Structured data parsing and normalization • Long-running scraping infrastructure My solutions are built to be stable, maintainable, and scalable, even with frequently changing websites. 🔹 API Integration & Data Automation I build API-driven automation workflows that connect multiple systems into one clean data flow: • REST API integration (JSON / XML) • API automation and data synchronization • Multi-source data aggregation • Scheduled data collection pipelines • Error handling, retries, logging 🔹 Data Pipelines & ETL Systems I design complete ETL pipelines (Extract → Transform → Load): • Data cleaning and transformation • Merging multiple data sources • Structuring datasets for analytics • Automated pipelines (daily / hourly execution) • Scalable data processing workflows 🔹 Automation Systems & Bots I build custom automation systems and bots that eliminate manual work: • Data collection and monitoring bots 🤖 • Web automation & browser bots • API-driven automation workflows • Reporting automation pipelines • Task scheduling and orchestration 🔹 Data Delivery & Outputs Your data - clean, structured, and ready to use: • Google Sheets automation 📊 • CSV / Excel exports • Databases (PostgreSQL, MySQL, SQLite) • Custom API endpoints • Reporting-ready datasets 🔹 AI & LLM Integration I integrate language models into automation workflows - not chatbots, but production pipelines that use LLMs for real work: • OpenAI API integration into data pipelines • RAG systems for document retrieval and Q&A over your own data • LLM-based classification, extraction, and enrichment • Intelligent processing layered on top of scraping/ETL 🔹 Working with US & EU clients - flexible data hosting I work with clients worldwide. For European clients who need it, we can host data within the EU 🇪🇺(Germany) and handle it in line with GDPR. 🛠 Core Technologies Python Scrapy, Selenium, Playwright, BeautifulSoup Pandas, NumPy REST APIs, JSON, XML PostgreSQL, MySQL, SQLite Automation & scheduling systems Git / GitHub 💡 How I Work I don’t just write code - I help design reliable data systems. Clients involve me in: • Architecture decisions • Data pipeline design • Automation strategy • Long-term scalability planning ✅ What You Get ✔️ Clean, structured dataset ready for reporting ✔️ Stable, automated pipeline (daily execution) ✔️ Scalable and maintainable system ✔️ Clear documentation & version-controlled code ✔️ Optional monitoring, logging & alerts ✅ Results in numbers: - 132 finished projects - 100% JSS - Top Rated Plus - Working on Upwork 6+ years - 50% of long-term clients - 20+ years in IT industry 🔑 Keywords (Upwork SEO) Web Scraping, Data Extraction, Python Developer, Data Mining, Automation, API Integration, API Automation, ETL, Data Pipeline, Data Engineering, Scrapy, Selenium, Playwright, BeautifulSoup, Data Processing, Data Cleaning, Google Sheets API, CSV Automation, Database Integration, Web Automation, Bots, Data Collection 💬 If you need reliable data pipelines or web scraping systems - let’s talk.

Hello, I’m Ali Mukhtar. I build Python-based quantitative finance systems for firms, startups, and serious traders who need reliable infrastructure for research, backtesting, analytics, and execution. My work sits at the intersection of quant logic and production engineering. I’ve built trading platforms and finance products with FastAPI, pandas, NumPy, TA-Lib, backtrader, PostgreSQL, Redis, CCXT, Alpaca, Polygon, and AWS, including systems for backtesting, options analytics, market data pipelines, execution workflows, and performance reporting. I’m a strong fit if you need help with: ✅ Backtesting engines with realistic assumptions such as commissions, slippage, PnL, Sharpe, drawdown, and portfolio-level metrics ✅ Strategy research infrastructure using Python, pandas, NumPy, TA-Lib, and custom rule/indicator pipelines ✅ Execution and market data systems using APIs, WebSockets, async processing, and exchange/broker integrations ✅ Risk and performance analytics including trade attribution, fill analysis, reporting, and custom metrics ✅ Finance dashboards and APIs for trading, options, and market intelligence platforms ✅ Scalable backend systems built with FastAPI, PostgreSQL, Redis, multiprocessing, and cloud deployment A few examples of the systems I’ve worked on: Built backtesting platforms with realistic trade lifecycle handling, commission/slippage modeling, and 50+ performance/risk metrics Built strategy builder APIs that allow stacking indicators and testing systematic logic across historical data Built options and market analytics dashboards using Alpaca and Polygon data, including Greeks, IV, open interest, GEX, vanna, and charm views Built execution-analysis pipelines in Python to measure fill quality, VWAP, slippage, latency impact, and symbol-specific virtual fee models Built scalable trading infrastructure with isolated processes, async data ingestion, secure auth, and production deployment on AWS / Docker / Kubernetes I’m usually not the right fit for: Generic “quick script” work with no research depth Projects that ignore execution realism, slippage, or proper validation Lowest-cost shopping where engineering quality is secondary What you can expect from me: ✅ Finance-aware implementation, not just generic backend code ✅ Clean, maintainable Python code and well-structured APIs ✅ Realistic backtesting and analytics instead of inflated results ✅ Clear communication and thoughtful technical decisions ✅ A builder who understands both quant requirements and production constraints 🚀 Ready to build something serious? 📩 Send me a message and let's discuss how we can build something exceptional together!

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.

Research Publications | AI Development | Data Analysis I'm a Data Scientist with 2+ years of experience in Data Scraping, Data Analysis, Data Visualization, Machine Learning, Deep Learning, Computer Vision, and NLP. I work primarily in Python and R/RStudio. What I Do: 📊 Statistical Analysis, Time Series Analysis, Quantitative & Predictive Analysis 🤖 Designing, developing, and fine-tuning ML/DL models that deliver real impact 🚀 Building models from scratch or optimizing existing ones Background: Currently pursuing a Master's in Data Science with hands-on experience across Machine Learning, Deep Learning, and Advanced Analytics. Technical Skills: Languages: Python 🐍, R 📈 Frameworks: TensorFlow, Keras, PyTorch, Scikit-learn, Hugging Face Transformers, XGBoost, LightGBM, CatBoost, OpenCV, FastAPI, Flask, Streamlit Libraries: NumPy, Pandas, Matplotlib, Seaborn, Plotly, Statsmodels, SciPy Data Tools: Selenium, Scrapy, SQL, Power BI, Tableau, AWS (S3, Glue, Redshift), GCP, Azure ML Others: MATLAB, Git, Docker, Google Earth Engine Project Experience: I've delivered projects across healthcare, finance, computer vision, and geospatial analytics. Some highlights: Built deep learning models for drought prediction using 20 years of satellite data Developed medical image classification systems for cervical cancer detection using DenseNet, ResNet, and EfficientNet architectures Designed sales forecasting pipelines and stock market analysis dashboards with interactive visualizations Created an AI voice assistant for paramedics Built a real-time multi-camera object tracking system Developed a student pressure dashboard powered by D3.js Explored XAI methods (GradCam, SHAP, LIME) for model interpretability Implemented models for churn prediction and match outcome forecasting These projects combine machine learning, deep learning, and data science to deliver practical, impactful solutions. What I Offer: ✅ Machine Learning Models: Build, fine-tune & deploy high-performance ML solutions ✅ Deep Learning Architectures: Custom DL models tailored to your needs ✅ Python Programming: Clean, optimized code for ML & data science tasks ✅ Data Analytics & Visualization: Insightful analysis and compelling visuals ✅ Data Scraping & Parsing: Data extraction using BeautifulSoup, Scrapy, and Selenium Why Work With Me: ✨ Strong expertise in both ML and DL ✨ Clear communication throughout projects ✨ Fast delivery with professional support ✨ Focus on quality and client satisfaction I take pride in delivering solutions that work. My approach is straightforward: build powerful models, provide actionable insights, and ensure clients are happy with the results. Let's Work Together: If you need someone who can take your machine learning projects to the next level, I'm here to help turn your ideas into reality. 🚀

📊 I hold a PhD in Economics with expertise in empirical econometrics, complemented by five years of professional experience in economic analysis and data analytics. My background also includes extensive work in time series forecasting and machine learning applications. 📈 I have collaborated with professionals across the stock market and betting industries to deliver projects forecasting stock market indices and soccer outcomes. 🛠 Technical Skills & Expertise: ✅ Data Analysis: Proficient in data processing, cleaning, and exploratory data analysis using pandas and numpy to derive actionable insights. ✅ Data Visualization: Skilled in effectively communicating findings through tools such as matplotlib, seaborn, and interactive tools such as Streamlit. ✅ Machine Learning: Experienced in creating Machine Learning forecasts and reports using various packages, including scikit-Learn, keras, and statsmodels. ✅ Econometrics: Demonstrated academic success in empirical econometric projects, specializing in causal inference with panel data and employing models such as propensity score matching and difference-in-differences, as well as time series forecasting models (ARIMA/VAR). ✅ Research: Experienced in conducting rigorous empirical research in economics, applying statistical and econometric methods to analyze large datasets. Skilled in extracting meaningful insights and translating them into actionable economic conclusions. Published in peer-reviewed journals on firms' competitiveness. Also experienced in academic writing and research dissemination.