If your data is stuck in the wrong system, in messy files, or behind an awkward API, I can help. I turn complex data problems into working systems and usable deliverables. I help clients move data between platforms, automate manual work, clean up unreliable exports, and build workflows that save time and reduce errors. Whether the deliverable is a program they can keep using, or a clean CSV, Excel file, report, or database, I can make it happen. Most of my work is API integrations, ETL pipelines, backend automation, data processing, and data migrations. I'm at my best when the problem is not clean or perfectly defined. I'll solve that problem first. I build data workflows that are meant to hold up in real use. I work with complex APIs, big JSON or XML data files, elaborate schema, folders full of CSV and Excel files, and large datasets where correctness matters. The result is a cleaner dataset, a dependable program, or a responsive and well-designed workflow. If you need a dependable program, a solid new system, or a clean final dataset, I can help.

"In addition to his technical prowess, Hector is a brilliant person who thoroughly impressed me with his creative thinking/problem solving skills. I'd give him 100 stars if Upwork would let me, and I will definitely hire him again when an opportunity arises."- Luciano P. Hi! My name is Hector and I'm a specialist in everything data-related. I'll design pipelines for you that will: * Get you data from anywhere * Clean and process raw, unstructured data (whether it's image/audio/text/excel/SQL db) * Analyze your data and extract powerful insights from it (statistical analysis and stunning visualizations included) * Build predicting models or recommendation systems with AI and modern Machine Learning tools * Deliver you data products in the form of reports, dashboards, or web apps for your regular, day to day needs Lets take it to the next level! [*A discount is offered for extended work].

⚡ Data pipelines breaking, slow, or too expensive? That’s exactly what I fix. I help companies turn messy, unreliable data systems into scalable, high-performance pipelines — so teams can actually trust their data and move faster. Over the past few years, I’ve built and optimized data platforms handling 50GB/day streams to 500GB+ processing workloads, across ecommerce, fintech, real estate, and SaaS. 🔑 What I Deliver (Real Outcomes, Not Just Tools) 🔹 Robust ETL/ELT Pipelines: Built on AWS Glue, Azure Data Factory, Databricks, Airflow → Designed for zero-failure execution & recovery-safe architecture 🔹 Cloud Data Warehousing: Redshift, Snowflake, BigQuery, Azure Synapse → Structured for fast queries, low cost, and scalable analytics 🔹 Real-Time & Batch Processing: PySpark, Kafka, Delta Lake → Handling millions of records daily with optimized latency 🔹 AI-Ready Data Foundations: → Clean, structured pipelines ready for ML models, LLMs, and BI tools. 🔹 Performance Optimization: → Reduced processing time by 50% on production workloads → Optimized queries & pipelines saving compute cost + runtime 🔹 Business Intelligence Layer: Power BI, Looker Studio → Dashboards that leadership teams actually use for decisions. 📦 Proven at Scale:- 🏪 Ecommerce Data Platform (1M+ stores | 500K customers): Built end-to-end ETL pipelines using AWS Glue Implemented incremental (delta) processing across multiple data sources Designed Redshift warehouse for high-volume analytics Delivered Power BI dashboards for business insights ✅ Enabled AI-driven personalization for 100K+ active users ✅ Reduced manual data dependency across teams 💳 FinTech / Freight Billing AI Platform: Designed data infrastructure for AP/AR automation Integrated ERP + TMS systems via APIs Built real-time dashboards + audit tracking ✅ Improved financial visibility & reconciliation accuracy ✅ Enabled automated decision-making for cash flow optimization 🏠 Real Estate Data Intelligence Platform: Built pipelines ingesting: Zillow Realtor HUD Census Crime datasets Centralized into PostgreSQL + Azure Data Warehouse ✅ Computed ROI, NOI, Cap Rate, Cash Flow at scale ✅ Enabled investment decision analytics 📊 Retail Location Intelligence (Databricks / Snowflake): Processed ~500GB mobile location data Built anomaly detection using moving averages ✅ Automated detection of: data drops duplicates false entries 🔧 Logistics Optimization (Azure): Replaced upsert with SQL MERGE ✅ Reduced processing time by 50% ✅ Achieved zero data loss in production pipelines 📡 Wellness Data Platform: Consolidated fragmented APIs into unified pipelines ✅ Fixed data failures on 250MB+ tables (~1GB compute load) ✅ Improved data consistency and pipeline reliability

I’m a results-driven data scientist with 5+ years of experience developing machine learning solutions for complex problems—ranging from time series forecasting and anomaly detection to regression, classification, and clustering. With a PhD in Mechanical Engineering and Computation, I bring a rigorous, engineering-based approach to data science—bridging the gap between real-world industrial challenges and scalable, data-driven solutions. I’m highly skilled in Python, R, MATLAB, and SQL, with a strong foundation in statistical modeling and predictive analytics. Whether you're looking to detect anomalies in sensor data, automate forecasting, or unlock hidden patterns in operational systems, I can help turn your data into insight—and insight into impact.

📌 𝐄𝐗𝐏𝐄𝐑𝐓-𝐕𝐄𝐓𝐓𝐄𝐃 – 𝐓𝐎𝐏 𝟏% 𝐅𝐑𝐄𝐄𝐋𝐀𝐍𝐂𝐄𝐑 𝐎𝐍 𝐔𝐏𝐖𝐎𝐑𝐊 📌 8+ years of experience | 8𝟎𝟎𝟎+ Upwork hours | $2𝟎𝟎𝐊+ earned | 4𝟎+ Projects delivered | 𝟏𝟎𝟎% Job Success. Hey there, I am Muhammad Furqan and I help teams build dashboards and automations that actually make their work easier - whether we’re starting from scratch or cleaning up what’s already there. Slow dashboards → Optimized to load in under 2 seconds Fragile APIs → Rebuilt to handle 1M+ requests/day Manual workflows → Automated with AI/ML integration Tech debt → Refactored while shipping new features ⚡ QUICK WINS: ✅ Reduced API response time from 3.2s to 450ms (SaaS platform, 10K users) ✅ Built 15+ ChatGPT-powered apps using LangChain & vector databases ✅ Delivered payment systems processing $2M+ in transactions ✅ Launched complete MVP dashboards in 3-4 weeks with full testing 🔧 I BUILD: Web Applications: Django/Flask backends + React frontends AI Solutions: GPT-4, LangChain, Pinecone, custom LLM workflows APIs & Integrations: RESTful APIs, third-party services, payment gateways Infrastructure: AWS, Docker, microservices, database optimization ⚙️ CORE TECH STACK: Backend: Python, Django, Flask, FastAPI, Celery Frontend: React.js, JavaScript, HTML5, CSS3 AI/ML: OpenAI GPT-4, LangChain, Pinecone, Weaviate, FAISS Database: PostgreSQL, MongoDB, Redis, Elasticsearch DevOps: AWS, Docker, NGINX, Gunicorn Payments: Stripe, PayPal 🎯 IDEAL FOR: SaaS founders launching MVPs in 4-6 weeks Startups scaling from prototype to production Teams adding AI/ML to existing products Companies fixing performance bottlenecks 💬 READY TO START? Send me a message with: What you're building Your biggest challenge Your timeline I respond within 2 hours and deliver code that works. SKILLS: Python | Django | Flask | FastAPI | React.js | Full Stack Development | Web Application | API Development | RESTful API | PostgreSQL | MongoDB | Redis | OpenAI API | ChatGPT | GPT-4 | LangChain | Pinecone | Machine Learning | AI Integration | AWS | Docker | Microservices | Celery | JavaScript | Stripe | PayPal | Test-Driven Development | Performance Optimization | Database Optimization 💡 WHY THIS WORKS: ✓ 60% shorter – Takes 45 se

Looking for 𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀? ✔ Need to convert Large websites into structured data? ✔ Want to extract data from 𝗰𝗼𝗺𝗽𝗹𝗲𝘅, 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁-𝗵𝗲𝗮𝘃𝘆 sites? ✔ Looking for data to 𝗽𝗼𝘄𝗲𝗿 your business analysis? ✔ Need real-time data for 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗼𝗿 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀 or 𝗽𝗿𝗶𝗰𝗲 𝗰𝗼𝗺𝗽𝗮𝗿𝗶𝘀𝗼𝗻? ✔ Want clean, ready-to-use datasets for your ML projects? I build scalable 𝗣𝘆𝘁𝗵𝗼𝗻 𝗗𝗮𝘁𝗮 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 that extract clean, accurate dataset using 𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴, 𝗗𝗮𝘁𝗮 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻, 𝗗𝗮𝘁𝗮 𝗠𝗶𝗻𝗶𝗻𝗴, 𝗔𝗣𝗜𝘀, 𝗦𝗰𝗿𝗮𝗽𝘆, 𝗦𝗲𝗹𝗲𝗻𝗶𝘂𝗺, 𝗣𝘆𝗗𝗼𝗹𝗹, 𝗣𝗹𝗮𝘆𝘄𝗿𝗶𝗴𝗵𝘁, 𝗕𝗿𝗼𝘄𝘀𝗲𝗿 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, 𝗣𝗿𝗼𝘅𝘆 𝗥𝗼𝘁𝗮𝘁𝗶𝗼𝗻, 𝗖𝗔𝗣𝗧𝗖𝗛𝗔 Bypass, and 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 even for complex, 𝗹𝗼𝗴𝗶𝗻-𝗯𝗮𝘀𝗲𝗱 and 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁-𝗵𝗲𝗮𝘃𝘆 websites like 𝗲-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲, 𝗥𝗲𝗮𝗹 𝗘𝘀𝘁𝗮𝘁𝗲, 𝗕𝗲𝘁𝘁𝗶𝗻𝗴 𝗢𝗱𝗱𝘀, 𝗩𝗲𝗵𝗶𝗰𝗹𝗲 𝗺𝗮𝗿𝗸𝗲𝘁𝗽𝗹𝗮𝗰𝗲𝘀, and 𝗕2𝗕 𝗹𝗲𝗮𝗱 𝗱𝗮𝘁𝗮, all integrated directly into MongoDB, PostgreSQL, MySQL, Redis, Supabase, Airtable, or any database you use. With 6+ 𝘆𝗲𝗮𝗿𝘀 of experience and 1000+ completed scraping, automation, and data processing projects, I deliver reliable pipelines that run 24/7 without breaking. 𝙆𝙚𝙮 𝙎𝙠𝙞𝙡𝙡𝙨: ✅𝗣𝘆𝘁𝗵𝗼𝗻: Proficient in Python programming for web scraping, automation, web-apps, and desktop-based apps. ✅𝗦𝗰𝗿𝗮𝗽𝘆: Expert in using the Scrapy framework for efficient web scraping. ✅𝗥𝗲𝗾𝘂𝗲𝘀𝘁𝘀: Skilled in making HTTP requests to interact with websites for data extraction. ✅𝗦𝗲𝗹𝗲𝗻𝗶𝘂𝗺: Experienced in automating web browsers for complex scraping and automation tasks. ✅𝗗𝗮𝘁𝗮 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻: Proficient in extracting data from various web structures and formats using Scrapy, Scrapling, requests, and many more. ✅𝗗𝗮𝘁𝗮 𝗦𝘁𝗼𝗿𝗮𝗴𝗲: Skilled in storing data in different formats and databases, including TXT, CSV, Excel, Google Sheets, Airtable, SQL(𝗦𝗤𝗟𝗶𝘁𝗲, 𝗠𝘆𝗦𝗤𝗟, 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝘀, 𝗦𝘂𝗽𝗮𝗯𝗮𝘀𝗲), NoSQL(𝗠𝗼𝗻𝗴𝗼𝗗𝗕, 𝗥𝗲𝗱𝗶𝘀), and JSON. ✅𝗗𝗮𝘁𝗮 𝗠𝗶𝗻𝗶𝗻𝗴: Capable of analyzing and extracting insights from large datasets. ✅𝗪𝗲𝗯 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: Skilled in obtaining data from the internet efficiently. ✅𝗪𝗲𝗯 𝗖𝗿𝗮𝘄𝗹𝗲𝗿𝘀: Proficient in developing bots to traverse websites and collect data. ✅𝗟𝗲𝗮𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻: Experienced in extracting leads from websites for marketing purposes. ✅𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Streamline processes and improve efficiency through Selenium/playwright/pydoll automation. ✅𝗔𝗣𝗜: Connect and extract data from various publicly and officially available APIs efficiently. ✔ 𝗪𝗵𝘆 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 𝗣𝗿𝗲𝗳𝗲𝗿 𝗠𝘆 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 I don’t just “𝗯𝘂𝗶𝗹𝗱 𝘀𝗰𝗿𝗮𝗽𝗲𝗿𝘀.” I build data engines that save time, 𝗶𝗻𝗰𝗿𝗲𝗮𝘀𝗲 𝗿𝗲𝘃𝗲𝗻𝘂𝗲, and automate what your team is doing manually. Whether you need real estate property feeds, Amazon price monitoring, lead extraction, sportsbook odds scraping, or large-scale datasets for analytics, you get clean, structured data optimized for business use. 🚀 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼 (𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆-𝗦𝗽𝗲𝗰𝗶𝗳𝗶𝗰 𝗥𝗲𝘀𝘂𝗹𝘁𝘀) 🎯𝗖𝗮𝘀𝗲 𝗦𝘁𝘂𝗱𝘆 1: 𝗥𝗲𝗮𝗹 𝗘𝘀𝘁𝗮𝘁𝗲 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 (𝗠𝗟𝗦, 𝗭𝗶𝗹𝗹𝗼𝘄, 𝗥𝗲𝗮𝗹𝘁𝗼𝗿) Continuous data scraping from real estate websites of the USA, Romania, Hungary, and Spain. We extract all available data from each website and save it in a PostgreSQL database. 🎯𝗖𝗮𝘀𝗲 𝗦𝘁𝘂𝗱𝘆 2: 𝗘𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲 𝗣𝗿𝗶𝗰𝗲 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 (𝗡𝗭𝗙𝗮𝗿𝗺𝗦𝗼𝘂𝗿𝗰𝗲, 𝗙𝗮𝗿𝗺𝗟𝗮𝗻𝗱𝘀, 𝗣𝗚𝗚 𝗪𝗿𝗶𝗴𝗵𝘁𝘀𝗼𝗻 𝗡𝗭) Built a Scrapy + rotating proxies system tracking 11k+ SKUs → helped client to set their margins and increase their sales. 🎯𝗖𝗮𝘀𝗲 𝗦𝘁𝘂𝗱𝘆 3: 𝗟𝗲𝗮𝗱 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴 & 𝗘𝗻𝗿𝗶𝗰𝗵𝗺𝗲𝗻𝘁 (𝗬𝗲𝗹𝗽, 𝗬𝗲𝗹𝗹𝗼𝘄𝗣𝗮𝗴𝗲𝘀, 𝗚𝗼𝗼𝗴𝗹𝗲𝗠𝗮𝗽𝘀) Automated lead extraction + email enrichment → scaled outreach to 10,000+ verified leads 🎯𝗖𝗮𝘀𝗲 𝗦𝘁𝘂𝗱𝘆 4: 𝗗𝗮𝘁𝗮 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝗳𝗿𝗼𝗺 𝗕𝗲𝘁𝘁𝗶𝗻𝗴 𝗪𝗲𝗯𝘀𝗶𝘁𝗲𝘀(𝗨𝗻𝗶𝗯𝗲𝘁, 𝗧𝗶𝗽𝗶𝗰𝗼, 𝗗𝗿𝗮𝗳𝘁𝗸𝗶𝗻𝗴, 𝗕𝗼𝘃𝗮𝗱𝗮) Extract data such as 1X2, over/under, and moneyline odds from 30+ sportsbook websites worldwide and save it in MongoDB for further analysis. In this, we integrate proxy-rotation middleware and an error notifier to detect errors as early as possible. ✔ 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗲𝗹𝗶𝘃𝗲𝗿 ☑️ High-volume Scrapy/Playwright Scrapers ☑️ JavaScript & anti-bot protected Scraping ☑️ Proxies + fingerprint spoofing ☑️ Real-time dashboards & APIs ☑️ Lead scraping + enrichment systems ☑️ Daily/weekly automated reports ☑️ Cloud deployment (Scrapyd, Docker) Send me the website you want scraped + the database you use, and I’ll analyze it for free and show you the fastest, most scalable way to turn it into an automated data pipeline.

Helping people to make sense of data is my personal mission, which involves advocating a data-driven culture. As a Data Scientist, I have nearly 10 years of experience in extracting, cleansing/wrangling data, conducting Exploratory Data Analysis (EDA), building Machine Learning and Deep Learning models, and presenting insights to stakeholders through effective data visualization. Completed projects include building Machine Learning models to predict housing prices, detect financial criminal activity, assign sentiment scores in financial report and perform customer segmentation.

🏆 𝗨𝗽𝘄𝗼𝗿𝗸 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 𝗧𝗮𝗹𝗲𝗻𝘁 | Senior Full-Stack AI & Data Engineer ✅ A 100% refund if I set the wrong expectation and can’t deliver. No questions asked. ⸻ 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗦𝘂𝗺𝗺𝗮𝗿𝘆 I am an AI Lead and Senior Full-Stack Engineer with over 5 years of experience architecting, scaling, and deploying production-grade AI systems. I specialize in taking complex machine learning models out of testing environments and integrating them securely into active business operations. Whether you need a heavy-duty backend data pipeline, an autonomous multi-agent network, or a polished Next.js frontend to allow users to interact with your AI, I build deterministic, end-to-end systems that scale. ⸻ ⭐ 𝗪𝗵𝗮𝘁 𝗠𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝘆: "He doesn’t just build models—he solves problems with clarity, speed, and real impact." "Ahmed understands data like a second language—every engagement delivers actionable insight." ⸻ 𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲? 🔹 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻: I don't just deliver a disconnected Python script. I build the robust serverless backends (FastAPI) and the responsive frontends (React/Next.js) required to deploy a complete SaaS product. 🔹 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗚𝗿𝗮𝗱𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: I specialize in zero-leakage, highly secure ML and RAG architectures trusted by top-tier global consulting firms and national government bodies. 🔹 𝗗𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗶𝘀𝘁𝗶𝗰 𝗔𝗜 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀: I enforce strict data schemas to ensure LLMs output exact, usable data (JSON) rather than hallucinated responses. 🔹 𝗧𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝘁 & 𝗙𝗮𝘀𝘁 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆: As an independent technical lead, I offer crystal-clear communication, direct feedback loops, and strict adherence to deadlines. ⸻ 𝗖𝗼𝗿𝗲 𝗔𝗿𝗲𝗮𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝟭. 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗔𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 • 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React (4+ years), Next.js, TypeScript, Tailwind CSS. • 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Seamlessly connecting complex Python/FastAPI AI backends to modern web interfaces. • 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: PostgreSQL, Vector Databases (Pinecone, Qdrant), Graph Databases. 𝟮. 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 • 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: Building autonomous, task-driven AI networks with LangGraph, LangChain, and CrewAI. • 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻: Advanced custom deployments using n8n, Apify, and Webhooks for high-volume data ingestion. 𝟯. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗡𝗟𝗣 • 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗠𝗟: PyTorch, XGBoost, Random Forest, Transformers (BERT, RoBERTa, GPT). • 𝗡𝗟𝗣 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Enterprise RAG, Text Classification, Named Entity Recognition (NER), Sentiment Analysis. • 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲: Statistical analysis, data wrangling (pandas, NumPy), and rigorous A/B testing. 𝟰. 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 & 𝗠𝗟𝗢𝗽𝘀 • 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Microsoft Azure, AWS, Google Cloud. • 𝗗𝗲𝘃𝗢𝗽𝘀: Dockerized environments, CI/CD pipelines, robust job retries. • 𝗔𝗣𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: High-performance REST APIs with FastAPI. ⸻ 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 • 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜: Designed and deployed zero-leakage RAG pipelines and custom AI deployments for multi-billion-dollar organizations and major national government sectors. • 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀: Architected stateful backend networks for enterprise AI platforms where autonomous agents securely query databases and reason through complex constraints. • 𝗛𝗶𝗴𝗵-𝗩𝗼𝗹𝘂𝗺𝗲 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻: Engineered heavy-duty LLM data pipelines for high-volume SaaS applications that force the extraction of 38+ precise data points from unstructured text with zero hallucinations. ⸻ 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗜 𝗦𝗲𝗿𝘃𝗲 Finance & Legal | Healthcare & Life Sciences | E-commerce & Marketplaces | Real Estate & Property Management | EdTech | B2B SaaS Startups ⸻ 𝗟𝗲𝘁’𝘀 𝗕𝘂𝗶𝗹𝗱 𝗬𝗼𝘂𝗿 𝗡𝗲𝘅𝘁 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 If you are looking for an engineer who thinks in system architecture rather than just running prompts, let's connect. 📩 𝗦𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝘄𝗶𝘁𝗵 𝗮 𝗯𝗿𝗶𝗲𝗳 𝗼𝘃𝗲𝗿𝘃𝗶𝗲𝘄 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗯𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸, 𝗮𝗻𝗱 𝗜 𝘄𝗶𝗹𝗹 𝘄𝗮𝗹𝗸 𝘆𝗼𝘂 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝗵𝗼𝘄 𝗜 𝘄𝗼𝘂𝗹𝗱 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 𝘁𝗵𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻.

You need a product that works — fast, stable, and built to scale. Something users actually want to use, and something your team won’t need to rebuild three months from now. That’s what I deliver. I’m a backend-first full-stack engineer (Python/Django/FastAPI + React) who ships production systems with clean architecture, reliable integrations, and strong performance. Whether you’re launching a new SaaS, hardening an existing platform, or integrating AI into your workflow, the goal is the same: build something maintainable that drives real business results. Most clients come to me mid-chaos: slow dev cycles, unstable features, messy codebases, missed deadlines. I step in, simplify the scope, stabilize the core, and get you shipping with confidence. I care about quality: tests where it matters, clear PRs, documented decisions, and systems that don’t fall apart under real usage. I also build practical AI features (RAG, agents, automation) the right way — structured outputs, guardrails, logging, retries, and cost controls — so it behaves predictably in production, not just in demos. This isn’t freelance roulette. You’re hiring someone who can think, build, and deliver — without hand-holding. If you want a dependable partner who moves fast and builds correctly, let’s talk. ✅ Expertise • Backend & APIs (Python, Django/DRF, FastAPI) • Full-stack delivery (React/Next.js) • AI integrations (OpenAI/Claude, RAG, agents, automation) • Cloud & DevOps (AWS, Docker, CI/CD, Serverless) • Data engineering (ETL, pipelines, PostgreSQL) • Testing, QA mindset, and documentation I prefer this response You get clean code, clear architecture & systems you own—not vendor lock-in. ✅ Free 40-min consultation ✅ Early working slice to prove value (win–win) 💬 Tell me what you want your agent/system to do—and I’ll show you how we make it real.

I'm a tech & growth-oriented data professional with over 7 years of experience across the entire data lifecycle (ETL, ELT, LTL). I specialize in developing efficient data flows and effective data delivery systems to drive business value. Services Offered: ✅ Database Migration & Metadata Upgrading – Expert migration services for PostgreSQL, MySQL, NoSQL databases and more. ✅ Data Warehouse Architecture – Custom-designed, scalable data warehouse solutions tailored to your specific business requirements. ✅ ETL/ELT Development – Robust data pipeline implementation using Python, DBT, and Apache Spark. ✅ Experienced Databricks and MotherDuck solutions. ✅ Data Pipeline Architecture & Deployment – Streamlined or Batch workflow automation with Apache Airflow and Kubernetes. ✅ Application/Service Containerization – Seamless deployment and management using Docker and Kubernetes. ✅ Open Source System Management – Enterprise-level implementation of Apache Airflow, Spark, Trino, Flink, Kafka, Superset, Druid,ELK(Elasticsearch, Kibana, Logstash), Hadoop, Hdfs and Cassandra. ✅ Streaming Pipelines – High-performance data streaming solutions utilizing Kafka, Redis, Cassandra, MongoDB, and Flink with Java/Scala development. ✅ API Development – Production-ready Python APIs using FastAPI, Django, Flask, and distributed asynchronous services. ✅ Working capability any where on Cloud(AWS,GCP,Azure) or Special on-premises environment. ✅ Designing CI/CD solution's development environments. Terraform, Helm, Github Workflow, Gitlab-CI's. ✅ Implemented logging monitoring environments Grafana, Prometehus, Elasticsearch, Kibana, Logstash. Let's discuss how I can optimize your data infrastructure and unlock valuable insights for your business. Contact me today to start the conversation!