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I architect production-grade algorithmic trading platforms and AI-native quantitative systems including backtesting engines, execution frameworks, market-data pipelines and automated strategy infrastructure across crypto, equities and derivatives markets. With 5+ years of experience in Python and quantitative engineering, I design scalable financial systems where AI enhances research, development and validation workflows. My work combines event-driven architecture, async systems and deep trading domain knowledge to deliver reliable automated trading platforms used in real-world environments. 🤖 Agentic AI & Intelligent Quant Workflows My development approach integrates AI directly into quantitative infrastructure: • AI agents, sub-agents and swarm-style agentic teams embedded into development pipelines • Structured build → review → test workflows powered by GPT and Claude based agents • Intelligent evaluation pipelines for code, strategies and system behavior • AI-assisted system design using modern environments like Cursor, with orchestration through frameworks such as CrewAI and evaluation/testing via OpenClaw and Manus 🎯 Core Focus Algorithmic trading infrastructure • Backtesting & analytics • Real-time market data • Risk systems • AI-augmented quantitative workflows Core Stack: Python, AsyncIO, FastAPI, NautilusTrader, QuantLib, NumPy, Pandas, PostgreSQL, Redis, MongoDB, Docker, WebSockets AI Workflow: Cursor with GPT & Claude driven agent pipelines integrated into development and testing If you’re building serious trading infrastructure or AI-driven quantitative systems, I’d love to collaborate.

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.

SEBI Registered Research Analyst-INH000019275 Expert in: -Quantitative research in equity, derivatives markets, forex markets. -Development, backtesting and deployment of financial models. -Optimizations to improve alpha and Key Performance Indicators of financial models. - Pinescript building and testing of indicators, strategies. - API Integration with IBKR, Indian brokers like Zerodha, Dhan, Fyers, MetaTrader4/5 - Financial advisory and planning. Python, TradingView, IBKR, Pinescript, Automation of trading models, Quantconnect, MetaTrader Holds a Bachelors in Information Technology and Master's in MBA with Finance majors. Masters in Financial Engineering from World Quant University. Focused on best in hand solutions to the given financial problem statement.

I am an AI/ML Engineer who helps businesses turn ideas into working minimum viable products. I can be the first engineer you contact when you want to move from an idea to a practical, reliable, and scalable AI-powered product. I can help you with AI chatbots, RAG applications, workflow automation using AI agents, data analysis, dashboards, Python/FastAPI backend development, and complete MVP development from idea to launch. I also have experience integrating tools like OpenAI, Gemini, Supabase, cloud storage, databases, and analytics systems. My technical skills include:- - Python - NumPy - Pandas - scikit-learn - Matplotlib - Graphviz - PyTorch - CUDA. Whether you need an AI-powered product, a workflow automation system, a data analysis report, or a dashboard to understand your business better, I can help build it from start to finish. Send me your idea or dataset, and I can help turn it into a working prototype, automation system, or useful business insight.

Looking for a Full-Stack Developer who can deliver scalable web and mobile applications? I am Shabnam, a seasoned Full Stack Engineer with over 10 years of experience in building high-performance applications across AI, Web and Mobile domains. I bring together the best of Python and React ecosystems to create seamless, production-ready digital products that scale with your business. 💡💡Key Strengths💡💡 🏅 10+ Years of Experience: Delivered end-to-end projects, from MVPs to enterprise-grade systems, across healthcare, e-commerce, logistics, fintech, education, recruitment, etc. 🏅 Proven Full-Stack Expertise: Skilled in both frontend and backend development using React, Next.js, Django, Flask, and FastAPI, ensuring clean architecture and maintainable code. 🏅 AI-Driven Problem Solver: Experienced in integrating OpenAI, TensorFlow, PyTorch, and ChatGPT APIs into web and SaaS platforms. 🏅 Transparent Collaboration: Expect clear communication, frequent updates, and a focus on measurable results. ➡️My Development Process - Discovery & Requirements: Understand your goals, workflows, and target outcomes to define a clear roadmap. - Planning & Roadmap: Prepare milestones, timelines, and architecture documentation. - Design & Prototyping: Optional wireframes or clickable prototypes to align expectations. - Development & Testing: Implement robust backend APIs and responsive UIs, with thorough QA at each stage. - Deployment & Updates: Continuous integration, version control, and agile delivery. - Post-Launch Support: I stay involved for monitoring, optimization, and ongoing improvements. 🧠 Tech Stack ✅ AI & Machine Learning TensorFlow | PyTorch | OpenAI | ChatGPT | LangChain | Scikit-learn | NLP | Chatbot Integrations ✅ Frontend: JavaScript (ES6+) | TypeScript | React.js | Next.js | React Native | Redux | Hooks | TailwindCSS | Bootstrap | HTML5 | CSS3 ✅ Backend Python | Django | Flask | FastAPI | Django REST Framework (DRF) | RESTful APIs ✅ Databases PostgreSQL | MySQL | MongoDB | Firebase | DynamoDB | SQLite ✅ DevOps & Tools AWS | Azure | GCP | Docker | Kubernetes | GitHub Actions | Jira | Trello | Agile / Scrum Areas of Expertise 🎯 Web & SaaS Application Development 🎯 Mobile App Development (React Native/Flutter) 🎯 AI/ML & Chatbot Integration 🎯 API & Third-Party Integrations 🎯 Cloud Deployment (AWS/GCP/Azure) 🎯 Database Design & Optimization 🎯 End-to-End Full Stack Development 🔑𝑲𝒆𝒚𝒘𝒐𝒓𝒅𝒔🔑 Artificial Intelligence, Machine Learning, Full Stack Development, Web App Development, Mobile App Development, React, Python, Django, React Native, Flutter, Front-end Development, Back-end Development, FastAPI, Flask, Database Management (MySQL, MongoDB), API Integration, Responsive Design, Cross-platform Development, Top Rated, Project Management, Agile Methodologies, User Experience.

Overview: ✅ 10+ Completed Projects | 💰 $2K+ Earned ✅ Python Backend Developer | Django | FastAPI | Flask | Docker | AWS | Kubernetes I’m a Python Backend Developer with 4+ years of experience building scalable, secure, and production-ready backend systems for startups and businesses. I specialize in developing high-performance REST APIs using Django, FastAPI, and Flask, along with third-party API integrations, cloud deployment, containerization, and database optimization. I have hands-on experience working with complete backend development workflows — from API architecture and authentication systems to Dockerized deployment on AWS servers Core Skills & Technologies ✅ Python Development ✅ Django Development ✅ FastAPI Development ✅ Flask Development ✅ REST API Development ✅ Third-Party API Integration ✅ Authentication & Authorization ✅ PostgreSQL / pgAdmin ✅ SQLite & MySQL ✅ Git & GitHub Version Control ✅ Linux Server Management ✅ Docker Containerization ✅ Kubernetes Basics & Deployment ✅ AWS Deployment (EC2, S3, IAM) ✅ CI/CD Deployment Workflows What I Can Build • Secure REST APIs • Scalable Backend Architectures • Authentication Systems (JWT, OAuth) • Cloud-Ready Web Applications • Dockerized Python Applications • Database Design & Optimization • API Integrations & Automation Systems • Backend Deployment & Server Setup I focus on writing clean, maintainable, and scalable code with proper architecture and performance optimization. Whether you need a backend from scratch, API integration, bug fixing, deployment support, or long-term development assistance — I can help deliver reliable solutions. Let’s build your backend system professionally and efficiently.