I am an Engineer with good working experience in Machine Learning(Deep learning) , Data Science and GIS Analysis with a good understanding of Spatial Analysis, Machine Learning Models , Deep Learning , Image processing(Open Cv) and softwares like (QGIS,Arcgis,ENVI,ERDAS) for Spatial data and Image processing. 1.Research and Development(ML and Deep learning Models) 2. Spatial and Not Spatial Data analysis 3. Raster and Vector analysis 4.Machine Learning / Deep Learning 5.Remote sensing 6. Cartography(Map Making) 7. GeoDatabase creation 8. Computer Vision 9. Google Earth engine and Google Earth pro 10. Q-GIS Analysis and Mapping 11.Arc GIS 12. Python 13. Google cloud platform 14.Auto Cad 15. Image processing and analysis 16.GPON fiber Design and Planning

Most AI products die in production when latency spikes, integrations break, or pipelines silently fail under real load not because the model is bad. I build production‑ready AI systems and automations: real‑time voice apps, AI SaaS backends, RAG/agent workflows, and operational tooling that keep working after week two under real traffic, real data, and real users. What I build ☑️ Real‑time AI/voice systems: STT → translation → TTS pipelines (Deepgram, OpenAI, ElevenLabs) with WebSockets, streaming, and latency control ☑️ AI SaaS backends: FastAPI/Django services with auth, Stripe billing, usage limits, and admin dashboards ☑️ RAG & agent systems: retrieval pipelines, tools/agents (Claude Code, LangChain, LangGraph), vector DBs, evaluation + monitoring ☑️ Automation & ops: Claude/ChatGPT‑driven workflows, scrapers, n8n/Zapier‑style orchestrations, backend glue between CRMs, APIs, and internal tools Selected work shipped ➡️ AI ordering assistant (text + voice, English + Greek) with FastAPI backend and React frontend deployed via Docker, running live with real users and payments ➡️ Humanized AI text platform with Stripe subscriptions, usage metering, and ChatGPT‑style UI fully deployed on client infra, designed for ongoing content volume ➡️ Sports analytics platform with real‑time data feeds, AI‑driven betting insights, and full subscription/admin system for paying customers How I work ➡️ Start from failure modes: latency, concurrency, integrations, and data quality, not just “it works on my machine” demos ➡️ Design clean, testable backends (FastAPI/Django), strong API contracts, and simple, maintainable frontends (React/Next.js) ➡️ Add logging, monitoring, and retries from day one so you can see and fix issues instead of guessing ➡️ Ship in small, verifiable milestones every week ends with something you can run, break, and validate Core tech stack ☑️ AI: Claude / OpenAI / Gemini, Claude Code, LangChain, LangGraph, RAG, vector DBs (Pinecone, ChromaDB, FAISS) ☑️ Backend: Python, FastAPI, Django, REST APIs, WebSockets, async processing ☑️ Frontend: React, Next.js, TypeScript, Tailwind ☑️ Infra: PostgreSQL, Supabase, AWS (EC2, Lambda, S3, RDS), Docker, GitHub Actions, Vercel/Render/Railway If you need a system that can survive real users not just another AI prototype send your repo, current architecture, and target use case. I’ll tell you exactly what’s fragile and what I’d fix in the first 2–3 weeks. 🔑 Keywords: AI Engineer | Python Developer | LLM Developer | RAG Developer | AI Chatbot Developer | FastAPI Developer | Django Developer | Generative AI Expert | AI Automation Expert | LangChain Developer | OpenAI API Integration | GPT-4 Developer | Backend Python Developer | AI Agent Development | Retrieval-Augmented Generation | Vector Database Expert | Prompt Engineering | Flask Developer | REST API Developer | Machine Learning Engineer | NLP Developer | Python Automation | Web Scraping Expert | Scrapy Developer | AWS Python Developer | Docker Python | Microservices Architecture | PostgreSQL Expert

I am a Quant Developer with 10+ years of experience in building high-performance trading systems, financial applications, and scalable web platforms. My expertise spans across algorithmic trading, FIX API integration, and full-stack web development, enabling me to deliver end-to-end solutions for automated trading, risk management, and market data processing. Core Specializations: ✔ Trading Application Development: Algo trading bots, execution strategies, FIX API integration, and broker connectivity (MT4, MT5, Python, AFL, Pine Script). ✔ FIX API Expert: Custom order execution systems, real-time market data handling, and FIX protocol implementations. ✔ Quantitative Development: Strategy backtesting, statistical modeling, and market data analysis using Python, Pandas, and NumPy. ✔ Web Application Development: Scalable community and administrative portals, server-side development, and custom API solutions. ✔ End-to-End Development: From planning and architecture to deployment and optimization of web and trading applications. Tech Stack & Expertise: 🔹 Backend & Trading: Python (Django, Flask), Node.js, FIX API, AFL, Pine Script 🔹 Frontend: HTML, Tailwind CSS, JavaScript 🔹 Databases: MySQL, MongoDB, Apache Cassandra 🔹 Data Science & Analytics: Pandas, NumPy, Machine Learning for Finance 🔹 CMS & Web Platforms: WordPress, Custom Website Routing I am available for both short-term and long-term contracts and always open to discussing new projects that leverage my expertise in quantitative finance and algorithmic trading. 💬 Let’s connect and build something impactful!

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!

🏆 3+ Years of Professional Experience 💡 Turning ideas into scalable, automated, and data-driven solutions Hello! 👋 I’m a Python Backend Developer with over 2+ years of hands-on experience building robust backend systems, high-performance web scrapers, and automation pipelines for real-world businesses. My goal is simple: deliver clean, reliable, and scalable solutions that save time and grow your business. 🔥 What I Can Do for You 🧠 Backend Development & APIs Python, Django, Django REST Framework, FastAPI RESTful API design & development Authentication, permissions & performance optimization Unit testing & clean architecture 🕷️ Web Scraping & Data Extraction (Large Scale) Scrapy, Selenium (Automation), BeautifulSoup, Requests API reverse-engineering & structured data extraction Anti-bot handling, proxies & optimization Data cleaning, transformation & storage 🗄️ Database Administration & Management PostgreSQL, MySQL, SQLite Database design & normalization Query optimization & indexing Data migration, backup & performance tuning 🤖 AI Automation & n8n Workflows n8n workflow automation AI-powered data pipelines API integrations & event-based automation Connecting AI models with databases & backend services ☁️ Cloud & DevOps Amazon Web Services (AWS) Deployment & environment setup Server management & scalability basics 🧰 Tools & Technologies Git & GitHub Bash & Shell scripting Basic JavaScript & HTML5 Pandas for data analysis 🌟 Why Clients Choose Me ✅ Clean, well-documented & scalable code ✅ Strong communication & on-time delivery ✅ Problem-solving mindset ✅ Long-term support mindset (not just delivery) Thanks for reading!

100% Results Guaranteed: If my work doesn't meet or surpass your expectations, you get every penny back — no excuses. Are you looking for a reliable, top-rated developer who doesn't just write code — but helps you build AI-powered systems that actually run your business? I am Nofal, a seasoned full-stack and AI developer with a 100% Job Success Rate and 8+ years of experience. I've completed 50+ projects on Upwork, generating $200K+ in revenue — helping businesses build great software and, increasingly, helping them adapt AI to transform how they operate. ⭐ CLIENT TESTIMONIALS "Nofal's communication was better than any other contractor I've worked with. He delivered ahead of schedule, even accommodating multiple changes mid-development. The application works flawlessly for our team." — Upwork Client "Nofal and Mergestack are top-level talent in the developer space. They took the time to fully understand both our organization and the project, as well as its intended goals. Their communication practices are excellent. Highly recommend." — Upwork Client 🤝 Most business owners I work with come to me with one of these challenges: ▸ You have sensitive data you can't hand to OpenAI, Anthropic, or any third party and need to build, fine-tune and deploy LLMs on custom in-house GPU infrastructure so your data never leave your walls ▸ You need an LLM trained on your specific domain and need help generating synthetic data. ▸ You want to implement AI in your company but don't know where to start ▸ You're evaluating AI tools and need someone to cut through the noise and build what actually fits your business ▸ You want to automate repetitive work across operations, sales, HR, finance, or support — and free your team to do higher-value work ▸ You've tried off-the-shelf AI tools but they don't fit your workflows — you need something custom ▸ You want a technical partner who understands both the technology AND your business goals ▸ You're ready to go AI-first and want a roadmap, not just a prototype 🤖 AI AGENTS & AUTOMATION — WHAT I BUILD I design and deploy production-grade AI agents and multi-agent systems across a range of platforms: ▸ Claude Cowork ▸ Openclaw ▸ LangChain / LangGraph — Stateful, multi-step agent workflows with memory, tool use, and human-in-the-loop execution ▸ CrewAI — Role-specialized agent teams for research, operations, and autonomous decision-making ▸ n8n — Visual workflow automation with 400+ integrations, self-hosted or cloud, with AI nodes ▸ AutoGen (Microsoft) — Multi-agent collaboration for enterprise IT and compliance automation ▸ AWS Bedrock Agents — RAG-powered agentic systems for AWS-native organizations ▸ Vertex AI / Google AgentSpace — Gemini-powered agents integrated with Google Workspace and GCP ▸ Zapier & Make — Business process automation for non-technical teams and rapid deployment I connect agents to real data sources — Slack, email, CRMs, databases, APIs — so they don't just answer questions but take action. CUSTOM LLM TRAINING & DEPLOYMENT — WHAT I BUILD ▸ Building high-quality synthetic datasets from scratch when real training data is scarce, sensitive, or unbalanced — covering edge cases public models miss ▸ Fine-tuning open-source models (Llama, Mistral, Qwen, DeepSeek) on your proprietary data so they speak your industry's language, not generic internet English ▸ Setting up and deploying LLMs on custom in-house GPU infrastructure (NVIDIA H100, A100, RTX workstations) for organizations in healthcare, legal, finance, and defense where data sovereignty is non-negotiable ▸ Building retrieval-augmented generation (RAG) pipelines that run fully air-gapped, so your documents, contracts, and IP never touch a third-party API ▸ Shrinking large models with quantization (GGUF, AWQ, GPTQ) and inference optimization (vLLM, TensorRT-LLM, llama.cpp) to run efficiently on your available hardware ▸ Fine-tuning Whisper and similar models for domain-specific transcription (multilingual, technical vocabulary, low-resource languages) with word-level timestamps and downstream LLM refinement ▸ Building continuous feedback loops so your model gets smarter over time from real usage, not just the initial training run. 🛠 TECH STACK Frontend: React, Next.js, TypeScript, Tailwind CSS Backend: Node.js, Python, Django Cloud: AWS (Lambda, EC2, S3), GCP Databases: MongoDB, PostgreSQL, MySQL AI/LLM: OpenAI, Anthropic Claude, Gemini, LangChain, LangGraph, CrewAI, AutoGen Automation: n8n, Zapier, Make, AgentKit DevOps: Docker, CI/CD, cloud hosting 💼 WHY CHOOSE ME ✔ Successfully delivered projects backed by Google, Mastercard, and Techstars ✔ Top-Rated on Upwork — 100% Job Success Score, 0 negative reviews ✔ I build agents that run in production, not demos that break in the real world ✔ Clear communication at every stage — no surprises, no ghosting Ready to build AI agents that actually work? Let's talk.

I am an experienced professional with over 6 years of expertise in chatbots, AI engineering, data analytics, and advanced large language model (LLM) solutions such as GPT-3 and GPT-4. My journey through this rapidly evolving landscape has shaped me into an innovator and expert in the field. Data as a Driver of Opportunity Data is more than just numbers; it is a powerful language that reveals opportunities. With extensive experience in data analytics, I excel at analyzing large, complex datasets to uncover patterns and insights that inform strategic decision-making. Passion for AI Development Bringing artificial intelligence to life is my passion. I specialize in creating intelligent, user-friendly chatbots that enhance communication between businesses and their customers. These interactive digital companions are designed to elevate user experiences beyond traditional chatbot functions. Expertise in Large Language Models I thrive in the realm of Large Language Models (LLMs), crafting solutions that emulate human-like responses and redefine human-computer interactions using the capabilities of advanced models like GPT-3 and GPT-4. What I Offer: ✅ A proven track record of delivering impactful results, having helped businesses of all sizes leverage AI and data to transform their operations. ✅ A knack for tackling challenges with innovative solutions, aiming to redefine technology rather than simply use it. ✅ A commitment to continuous learning and staying at the forefront of data analytics and AI, ensuring your projects benefit from the latest advancements. Are you ready to harness the power of AI and data for your business? I am your dedicated partner in utilizing AI innovation to enhance your brand, turning your data into valuable insights, and unlocking the limitless potential of LLM technology.

I build two things businesses at scale need most right now: intelligent automation systems and production-grade ML/data pipelines. IIT BHU graduate (CGPA 8.63) · IEEE-published researcher · IIM-A Analytics certified ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ PYTHON & MACHINE LEARNING ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Python machine learning development for classification, regression, clustering, and deep learning using Scikit-learn, TensorFlow, and Keras. End-to-end ML pipelines — data ingestion, cleaning, feature engineering, model training, evaluation, and deployment-ready outputs. Delivered projects: • Churn prediction model — 90.9% accuracy on 850K+ records • Credit risk model — recall improved from 32% to 71% using Random Forest, SVM, KNN, and Neural Networks on 30K+ records • Visa approval prediction — EDA + classification pipeline at ~76% accuracy • IEEE-published Transformer model for industrial fault diagnosis (Dec 2021) Python stack: Pandas · NumPy · Scikit-learn · TensorFlow/Keras · Matplotlib · Seaborn · Jupyter Notebook · SQLite · Django · Flask ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🤖 AI AUTOMATION & AGENT DEVELOPMENT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ n8n workflow automation and AI agent development connecting LLMs, APIs, databases, and business tools into fully automated pipelines. Systems I build: • AI inbound receptionist — 24/7 lead capture, FAQ handling, appointment booking without human involvement • Speed-to-lead automation — AI-personalized outreach firing within 60 seconds of form submission via email, SMS, or WhatsApp • Lead reactivation systems — GPT-powered drip sequences re-engaging cold leads with personalized messaging • AI hiring & CV screening — automated parsing, scoring, shortlisting, and interview scheduling pipelines • Content generation pipelines — AI-written social, ad, and email copy auto-populated into Notion or Airtable content calendars • CRM automation — SharePoint, Power Automate, Airtable, HubSpot workflows eliminating manual data entry Automation stack: n8n · OpenAI API · Claude API · Webhooks · REST APIs · Twilio · Gmail API · Google Sheets · Airtable · Notion · Make (Integromat) · SharePoint · Power Automate · Python scripting ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 DATA ANALYTICS & SQL ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Data analysis and business intelligence using Python, SQL, and Tableau. • SQL analytics — MySQL and SQLite for complex queries, joins, aggregations, cohort analysis, and reporting pipelines • Exploratory data analysis (EDA) — datasets from 25K to 850K+ records, outlier detection, encoding, correlation analysis • Tableau dashboard development — interactive KPI dashboards, customer segmentation views, market trend visualizations • Web scraping pipelines — Selenium and Playwright for dynamic site extraction (Notion, e-commerce, industrial sites) • Market basket analysis and retail analytics on 400K+ transactions • Business KPI design, risk frameworks, and retention strategy Data stack: Python · Pandas · SQL · MySQL · SQLite · Tableau · Matplotlib · Seaborn · NumPy · Selenium · Playwright ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎓 CREDENTIALS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • IIT BHU Varanasi — IDD BTech + MTech, Mining Engineering (CGPA 8.63) • IEEE Research Publication — Transformer model, Dec 2021 • IIM Ahmedabad — Analytics for Business Problem Solving • IBM — Product Management Certification • HackerRank — SQL Intermediate + Problem Solving Certified • Udemy — Python for Data Science and ML Bootcamp • Neural Networks and Deep Learning (AI) Certification ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✔️ KEY SKILLS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Python · Machine Learning · Deep Learning · TensorFlow · Scikit-learn · n8n Automation · AI Agent Development · OpenAI API · REST API Integration · SQL · MySQL · Data Analysis · Tableau · Data Visualization · EDA · Feature Engineering · Web Scraping · Selenium · Playwright · SharePoint · Power Automate · CRM Automation · Pandas · NumPy I work with startups, agencies, and mid-size companies who need reliable technical execution — not just consultation. Clear communication. On-time delivery. Built to hand off. Open to fixed-price projects, hourly contracts, and long-term retainers.

Businesses lose countless hours to manual work, slow reporting, and unreliable data collection. Broken scrapers, fragile automation, and non-scalable systems create ongoing operational costs. I help companies eliminate repetitive work, extract large-scale data reliably, and build automation systems that run smoothly in production — not quick scripts that fail after a few weeks. Core Services • Large-Scale Web Scraping & Data Extraction Advanced web scraping for dynamic websites, login-protected platforms, infinite scroll, pagination, and PDF data extraction. Built for stability, anti-blocking handling, and long-term reliability. • Python Business Process Automation End-to-end workflow automation that reduces manual effort in reporting, data processing, file handling, and integrations. Designed to save time and minimize human error. • Scalable Backend Development (Django & FastAPI) High-performance backend systems, REST APIs, and automation pipelines that scale with your business needs. Clean architecture, production-ready deployment. • Web Hosting, VPS Setup & Deployment Complete deployment support including VPS configuration, server optimization, Docker setup, CI/CD pipelines, and long-term system maintenance. Why Businesses Work With Me ✔ Production-grade automation systems (not fragile scripts) ✔ Focus on long-term stability and maintainability ✔ Strong experience with complex, high-volume data pipelines ✔ Clear communication and dependable delivery Proven Results ✔ 36 completed jobs with 100% Job Success ✔ Multiple long-term and repeat clients ✔ Trusted for mission-critical automation and scraping projects If your business needs reliable Python automation, scalable web scraping, or backend systems that run without constant fixes, we can discuss the right solution.

🎖 Top Rated | 50+ clients | 10+ years building production backend & AI systems You've started building with AI — and the cracks are showing. Hallucinations you can't explain, agents that go off-script, a RAG pipeline that retrieves the wrong context half the time. A demo that impressed everyone and then fell apart on real data. That's exactly where I come in. I build LLM-powered systems that survive production: AI agents, RAG pipelines, and automation built on the data infrastructure they depend on. I work deep in the LangChain/LangGraph ecosystem with Anthropic (Claude API), OpenAI, and open-source models, shipping real products and internal tools for clients in fintech, GovTech, real estate, and edtech. Recent work: • Contract-bidding SaaS for US government procurement — AI agents monitor procurement portals, score opportunities against millions of records, and draft bid responses, cutting manual research time by 80% • Academic integrity platform using LLMs and ML to analyze writing patterns across 50,000+ monthly submissions • Real estate intelligence platform — 60+ concurrent scrapers feeding AI parsing and enrichment pipelines into a multi-region PostgreSQL system Where I spend most of my time: • Designing agent workflows with LangGraph, Make/n8n, and custom orchestration • Building RAG systems that are actually reliable — chunking strategy, retrieval tuning, eval pipelines • Wiring LLMs into FastAPI/Django backends with proper async handling, streaming, and error recovery • Deploying on AWS with Docker/Kubernetes, keeping costs predictable and latency sane at scale The difference: my foundation is 10+ years of backend engineering - Python, FastAPI, Django, PostgreSQL, SQLAlchemy, Celery, Redis, web scraping at scale. I don't just prompt-engineer. Most AI projects fail at the data layer, not the model - I build both. I'm selective about projects. I work best when there's a real problem to solve and a client who wants to understand what they're building, not just receive a black box. If that sounds like you, send me a message with a couple of lines about what you're building.