Top 1% Upwork EXPERT-VETTED Data & Solution Architect. For over 15 years, I've worked with data, focusing the last 7 years as a Data Architect on managing high-load and big-data projects. I oversee systems that serve hundreds of millions of users and manage petabytes of data, along with overseeing infrastructure budgets of over 1.5 million USD each year. In the past 8 years on Upwork, I have completed more than 100 projects with a 100% Job Success Score and a 94%+ client return rate. SERVICES ✅ Data Engineering ✅ AI/ML ✅ AI Adoption & GenAI ✅ Predictive analytics ✅ High-load Data Scraping ✅ Data Integration - seamless connection through APIs ✅ Data Management – ETL pipelines, Data Warehousing, Data Lakes, DataOps ✅ IT Infrastructure & Solution Architecture ✅ DevOps for Performance Optimization and Cost Reduction STACK & TECHNOLOGIES Core stack: Python Data Warehousing: Redshift | BigQuery | Snowflake | Teradata Data Lakes: Hadoop | Amazon S3 | Azure Data Lake Storage | Google Cloud Storage ETL Tools and Data Pipelines: Databricks Workflows | AWS Glue | Google Cloud Dataflow Big Data Processing: Spark | Hadoop | Google Dataflow | Dask | Amazon Kinesis | Kafka Databases: MySQL | PostgreSQL | Google BigQuery | MongoDB | DynamoDB | Redis Data Analysis and Machine Learning: Pandas | NumPy | Dask | SciPy | OpenCV | TensorFlow | PyTorch | Scikit-learn | XGBoost | Keras | spaCy GenAI: OpenAI GPT-3 | GPT-4 | Lama 2 | Llava | Bard | Mistral | Anthropic Visualization Tools and Libraries: Power BI | Looker | Quicksight | Grafana | Plotly | D3.js | Dash | Matplotlib DevOps and DataOps AWS | GCP | Azure | Docker | Kubernetes | Amazon ECS | Jenkins | GitLab CI/CD | GitHub CI/CD | Bitbucket Pipelines | Ansible | Terraform | CloudFormation | Prometheus | Grafana | Datadog | Zabbix | ELK Stack | Elasticsearch | Logstash | Kibana | Graylog Web Development Front-End: React.js | Redux | Redux-Saga Back-End: Python | Django Rest Framework | Flask We use the Agile approach to ensure great products delivery. As our benefits, we provide the guarantee, NDA signing, and post-service for delivered products. Want to work together? I’d love to hear from you!

Hey, I’m Nirav, I did my Master’s from Columbia University and worked at UBS (core team) before starting Quantal AI giving me a strong foundation in both enterprise-grade systems and cutting-edge AI innovation. Today, I help startups and enterprises design, build, and scale AI Agents, LLM workflows, and automation systems that reduce costs, improve efficiency, and unlock new capabilities. My Core Skills: AI Agents (n8n, relevance ai, crew ai, make, Zapier, LangGraph, Langchain), LLMs, Generative AI, Chatbots, RAG, NLP with 7 years of Industry Experience. - Generative AI, LLMs, ChatGPT, Prompt Engineering,Machine Learning, NLP, Image Processing, Statistical Reports - Python and R, Data Modelling and Data Mining, Regressive, Predictive - Topic Modelling, Question-Answer Models, Computer Vision More than 7 years of Industry Experience with Python and Data Science: - Machine Learning : Pytorch, Keras, Tensorflow, Gensim, Scikit-learn, OpenAI, Langchain - Experience : 1. Projects: Generative AI, Sentiment Analysis, Semantic Clustering, ChatBots, E-Commerce Product Matching (Image and Text), Graph Data Mining, etc 2. Skills : Sequence Prediction, Text Classification, Text Generation, Summarization, Computer Vision and Image Processing 3. Architectures: LLMs, Transformers, Bidirectional LSTM, Graph Neural Networks, Attention Models, Reinforcement Learning EXPERTISE: AI Automation | AI App Development | AI Data Analytics | AI Model Training | AI Speech-to-Text | AI Text-to-Speech | AI Generated Code | AI Audio Generator | AI Bias Mitigation | AI Content Editing | AI Content Writing | AI Video Generator | AI Content Creation | AI Image Generation | AI Video Generation | AI Model Development | AI Model Integration | AI Writing Generator | AI Product Management | AI Mobile App Development | AI Enhanced Classification | AI Enhanced Medical Imaging

I provide work to customers with a guarantee of quality and also offer a range of other services with excellence across Python projects in Machine Learning, Deep Learning, and Generative AI. Our motto: Quality, Creativity, and Client Satisfaction. I have been working on various projects that I mention below: ✨ Experience in Machine Learning (Supervised learning, Unsupervised learning, Reinforcement learning) ✨ Experience in Generative AI (LLM-based apps, RAG pipelines, AI Agents, Prompt Engineering) ✨ Experience in Natural Language Processing (Text Classification, NER, Sentiment Analysis, Embeddings) ✨ Experience in Time Series Forecasting (RNNs, LSTM, ARIMA, Prophet, Others) ✨ Experience in Deep Learning (ANN, CNN, RNN, LSTM, GAN, Transformers, Others) ✨ Experience in Computer Vision (Object Detection, Face Recognition, Others) I can also handle any project related to these: ✨ Classification Related Problems ✨ Regression Related Problems ✨ Clustering Related Problems (KMeans, DBSCAN, HDBSCAN, Hierarchical Clustering, Others) ✨ NLP Tasks (Text Preprocessing, Tokenization, Topic Modeling, Text Summarization) ✨ RAG-based Chatbots & Knowledge Assistants (LangChain, LlamaIndex, FAISS, Pinecone) ✨ AI Agents (OpenAI, Claude API, Tool Use / Function Calling, Multi-agent Systems) ✨ WhatsApp / Telegram / Web Chatbots powered by LLMs ✨ Data Analysis (Pandas, NumPy, Others) ✨ Data Visualisation (Matplotlib, Seaborn, Plotly) ✨ Dimensionality Reduction (PCA, LDA) ✨ Reinforcement Learning (Policy, Reward, DQN, Others) ✨ Prediction Related Problems And I will train and predict on your dataset using whichever models suit your problem best, such as: ✨ Artificial Neural Network (ANN) ✨ Convolutional Neural Network (CNN) ✨ Recurrent Neural Network (RNN) ✨ Long Short Term Memory (LSTM) ✨ Transformer-based Models (BERT, GPT-style architectures) ✨ Large Language Models (OpenAI GPT, Anthropic Claude, Open-source LLMs) ✨ Others Whether it's a classic ML pipeline, an NLP system, or a custom AI agent powered by LLMs, I focus on building solutions that are accurate, explainable, and production-ready.

$100M+ in Client Revenue | Expert-Vetted (Top 1% Upwork) | 240+ Projects | 100% Job Success | 10+ Years on Upwork I’m a Full Stack Developer, SaaS Developer and Backend Developer focused on building production-ready software that holds up under real-world usage. My work sits at the intersection of software developer, web developer, and SaaS platform builder, with a strong backend-first mindset and deep attention to scalability, performance, and long-term maintainability. As a Full Stack Developer, I take ownership of systems end-to-end, pairing robust backend architecture with clean, modern interfaces. My frontend work is typically React-based and I often collaborate with or replace traditional React developer or web developer setups by owning both frontend and backend in a single, coherent system. While I’ve previously worked as a WordPress developer and integrated WordPress-based sites into custom platforms, my current focus is on custom SaaS and API-driven systems rather than CMS-centric builds. As a SaaS Developer, I help companies design, build and scale SaaS products, internal tools and API-driven web applications intended for long-term use. My experience as both a Backend Developer and software developer allows me to think beyond features and focus on architecture, reliability and operational stability from day one. Many of the platforms I build support internal teams, customer dashboards and multi-role workflows where permissions, data integrity and business rules are critical. In my day-to-day work as a Backend Developer, I design and implement backend services, APIs and data models that power SaaS platforms, complex web applications and mobile-connected systems. I regularly work with Node.js and Python, drawing on my background as a Python developer to build scalable services, background jobs and asynchronous workflows that perform reliably in production. As a Full Stack Developer, I ensure these backend systems integrate cleanly with frontend applications, mobile extensions and third-party APIs. When required, I support frontend and mobile app developer workflows using React and React Native. This end-to-end ownership is a key reason clients bring me in as a Full Stack Developer rather than splitting work across multiple roles. A significant portion of my work as a SaaS Developer and Backend Developer involves building internal platforms, dashboards and API-first systems that integrate external services. In these projects, I often collaborate closely with product, growth, or analytics teams, including teams focused on SaaS marketing by designing clean data pipelines, event tracking and backend logic that supports experimentation, reporting and lifecycle insights. When projects require AI-powered functionality, I bring hands-on experience integrating AI into backend systems. While my primary role remains Full Stack Developer and Backend Developer, I regularly implement AI-enabled workflows, data processing pipelines and LLM-driven features inside SaaS platforms. This allows me, as a SaaS Developer, to deliver AI functionality that is reliable, observable and cost-controlled rather than experimental. Clients typically work with me when they need: - a Full Stack Developer who can own frontend and backend - a SaaS Developer who understands long-term scalability constraints - a Backend Developer experienced with real production systems - mobile app developer and React developer experience as a software developer - backend services built with Node.js or Python by an experienced Python developer - web applications with complex workflows and business rules from a senior web developer - API-driven architectures and third-party integrations - SaaS platforms designed to support growth, analytics and SaaS marketing data needs - MVPs that can realistically evolve into long-term SaaS products A large part of my work as a Full Stack Developer, SaaS Developer and Backend Developer focuses on: - multi-role dashboards and internal tools - authentication, authorization and permissions - API-first backend system design - integrations with external platforms, including legacy CMS or WordPress-based systems when required My core work as a Backend Developer and Full Stack Developer covers: - backend services built with Node.js and Python - APIs, background jobs and integrations - databases such as PostgreSQL - modern stacks using tools like Supabase - AI-enabled backend features where they add real business value I regularly work on MVP builds and early-stage products as a SaaS Developer, with strong focus on solid backend foundations, sensible scaling paths and avoiding short-lived prototypes. Based on scope and timing, I work hands-on as a Full Stack Developer, SaaS Developer and Backend Developer and when useful, involve specialists from my team. Long-term results come from clarity and intentional system design. I focus on delivering software that teams can confidently run, maintain and scale.

→ 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐅𝐫𝐞𝐞𝐥𝐚𝐧𝐜𝐞𝐫 | 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐜𝐨𝐫𝐞 → 𝐏𝐡𝐃 𝐢𝐧 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 | 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 & 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 → 𝟏𝟓+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐏𝐫𝐨𝐯𝐞𝐧 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝐀𝐈, 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 → 𝐓𝐫𝐮𝐬𝐭𝐞𝐝 𝐭𝐨 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐑𝐞𝐚𝐝𝐲 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐆𝐥𝐨𝐛𝐚𝐥 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 → 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐞𝐝 𝐢𝐧 𝐂𝐕𝐏𝐑, 𝐌𝐈𝐂𝐂𝐀𝐈, 𝐖𝐀𝐂𝐕, 𝐓𝐏𝐀𝐌𝐈, 𝐈𝐉𝐂𝐕 & 𝐈𝐂𝐑𝐀 I am a Senior AI/ML and US-trained Computer Vision Engineer with over 15 years of hands-on experience building, training, and deploying production-ready AI solutions. I specialize in Computer Vision, Deep Learning, Machine Learning, Medical Imaging, Healthcare AI, and Image Processing, delivering scalable and real-time AI systems using Python, modern deep learning frameworks, and optimized deployment pipelines for real-world applications. I hold a PhD in Computer Vision and have worked across industry and research on AI projects involving object detection, image segmentation, video analytics, OCR, medical imaging, surveillance systems, healthcare diagnostics, and intelligent automation. My focus is on end-to-end AI development, from data preprocessing and model training to deployment, API integration, and production-ready, scalable AI systems. I have also published numerous peer-reviewed research articles in leading computer vision and AI venues including 𝗖𝗩𝗣𝗥, 𝗠𝗜𝗔, 𝗠𝗜𝗖𝗖𝗔𝗜, 𝗪𝗔𝗖𝗩, 𝗜𝗘𝗘𝗘 𝗧𝗣𝗔𝗠𝗜, 𝗜𝗝𝗖𝗩, and 𝗜𝗖𝗥𝗔, ensuring that the solutions I deliver are research-validated and industry-ready. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗮𝗻𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: • Computer Vision, Machine Learning & Deep Learning • YOLO-based Object Detection & Tracking • Real-time Video Analytics & Inference Systems • Medical Imaging AI (CT, MRI, X-ray, Ultrasound) • Healthcare AI & Radiology Diagnostics • OCR, Document AI & Intelligent Data Extraction • AI Automation & Workflow Systems • Drone Analytics, Surveillance & Action Recognition • Image Segmentation, Classification & Feature Extraction • Edge AI & Optimized Model Deployment • Scalable AI Systems & Production ML Pipelines • AI Agents & Intelligent Systems 𝗠𝗼𝗱𝗲𝗹𝘀, 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗮𝗻𝗱 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: • YOLO (YOLOv5 – YOLOv10) • Mask R-CNN, U-Net, DeepLabV3, EfficientNet • Custom CNN, GAN, Multi-Modal and Transformer-based vision models • Classical and deep image processing for Computer Vision and Medical Imaging pipelines 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀 𝗮𝗻𝗱 𝗧𝗼𝗼𝗹𝘀: 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴: Python, MATLAB, C++ 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: PyTorch, TensorFlow, Keras 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 / 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴: OpenCV, SimpleITK, ITK, Image Processing Pipelines 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Scikit-learn, Pandas, NumPy 𝗢𝗖𝗥: Tesseract, PaddleOCR, EasyOCR 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Flask, FastAPI, Docker, REST APIs, Model Serving 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻: Inference Optimization, Model Testing, Scalable AI Pipelines 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 • Principal Machine Learning Engineer in multi-vehicle tracking & real-time Computer Vision systems • Senior Computer Vision Scientist in surveillance, traffic monitoring, healthcare AI & medical imaging solutions • Contributor to projects funded by IARPA, Facebook, Google, HEC, NIJ, Xerox (USA) & US DTS My work in medical imaging AI has been recognized through Google and Facebook Research Awards, while contributions to sports video analytics, CCTV analytics, and healthcare AI have been acknowledged by HEC and top-tier venues such as CVPR. 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲 • Strong academia & industry expertise in AI, ML, Computer Vision & Healthcare AI • Experience in medical image processing, blood cancer detection & tumor segmentation • Clean, efficient, and production-ready code • Proven deployment experience in real-world and healthcare systems • Clear communication, dependable delivery, and scalable AI solutions 𝗪𝗵𝗮𝘁 𝗜 𝗖𝗮𝗻 𝗗𝗼 𝗙𝗼𝗿 𝗬𝗼𝘂 • Design custom ML models aligned with business and clinical goals • Deliver accurate, scalable, and reliable AI solutions • Simplify Computer Vision, Medical Imaging, and healthcare workflows • Support deployment and production integration 𝗜𝗳 𝘆𝗼𝘂 𝗮𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗮𝗻 𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗼𝗿 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 to build, optimize, and deploy custom AI solutions, I’m available to discuss your requirements and deliver reliable results.

Thanks for visiting my profile Committed to pushing technological boundaries, I bridge global innovation with local business requirements, delivering transformative data science solutions that seamlessly adapt cutting-edge methodologies to contextual challenges. Academic & Professional Credentials - Master of Science in Data Science - 13+ Years of Cutting-Edge Experience in AI, Machine Learning, and Big Data Solutions ⚙️ My Core Strengths 🤖 Generative AI & Creative Intelligence Proficient in Stable Diffusion, DALL·E, MidJourney, ControlNet, and ComfyUI Building custom pipelines for text-to-image generation and creative automation 🧩 Natural Language Processing Deep expertise in BERT, GPT, ELMo & Transformer-based models Advanced linguistic modeling, semantic search, and chatbot systems 👁️‍🗨️ Computer Vision Systems High-accuracy implementations in: Object Detection Image Segmentation Facial Recognition OCR & Edge AI solutions 🔧 Technical Toolkit 🖥️ Programming Languages Primary: Python Additional: Java, C/C++, MATLAB, PHP 🧠 Machine Learning & AI Frameworks Deep Learning: PyTorch, TensorFlow, Keras Classic ML & Processing: Scikit-learn, Pandas, NumPy NLP Stack: SpaCy, Transformers, NLTK ☁️ Cloud & Big Data Ecosystem Cloud ML: AWS SageMaker, Azure ML, GCP AI Platform Big Data: Apache Spark, Hadoop Real-Time Data Streaming: Apache Kafka, AWS Kinesis 🧠 Automation & Workflows n8n for low-code/no-code automation Integrating AI models, APIs, and services into seamless workflows 📊 Data Analytics & Visualization Tools: Tableau, Power BI, Grafana Turning raw data into strategic decisions and actionable dashboards 🌟 What Sets Me Apart Architecting end-to-end AI/ML solutions—from ideation to deployment Real-time, scalable data pipelines tailored for business growth Cloud-native, secure, and cost-effective implementations Blend of technical depth + domain knowledge = Real Results #datascience #machinelearning #python #ai #dataanalytics #artificialintelligence #data #programming #bigdata #coding #technology #datascientist #deeplearning #computerscience #tech #dataanalysis #datavisualization #analytics #java #pythonprogramming #database #business #software #statistics #cybersecurity #programmer #developer #iot #dataanalyst #innovation

✔️ TOP RATED Freelancer specializing in Computer Vision and AI-based image processing systems. I enjoy building practical, production-ready solutions for real-world visual problems and would be glad to contribute to your project in a meaningful way. My core focus is on computer vision, especially tasks involving image understanding, detection, and extraction from complex or noisy inputs. I have strong experience working with: ✔️Image Classification & Fine-Grained Recognition (handling subtle visual differences) ✔️Object Detection (YOLO, SSD, Faster R-CNN, TFOD API) ✔️Image Segmentation (Mask R-CNN, semantic & instance segmentation) ✔️OCR & Text Extraction (structured documents, multi-format, noisy images) ✔️Image Preprocessing (denoising, deskewing, perspective correction, enhancement) ✔️OpenCV-based pipelines for real-time and production use ✔️Deep Learning frameworks: TensorFlow, Keras, PyTorch ✔️CNN Architectures: ResNet, VGG, Inception, EfficientNet ✔️Transfer Learning & Custom Model Training ✔️Synthetic Data Generation & Augmentation ✔️Vector Embeddings & Image Similarity Systems ✔️End-to-End CV Pipelines (data collection → training → deployment) Alongside this, I also have a solid foundation in: ✔️Machine Learning & Deep Learning ✔️Mathematics & Statistics (for model understanding and optimization) ✔️Python ecosystem (NumPy, Pandas, SciPy, etc.) ✔️API Development & Deployment(Docker, AWS, GCP) I hold a Bachelor’s degree in Computer Engineering and am currently pursuing a Master’s in AI, which helps me stay aligned with the latest advancements in the field. My approach is always to first understand the business problem and real-world constraints, and then design a solution that is accurate, scalable, and practical to use. I care deeply about delivering solutions that actually work for clients not just in theory, but in real-world conditions. Thanks & Regards, Ruchir

Top Rated AI Agent Engineer | RAG | Multi-Agent Systems | OpenAI & Claude | Automation Expert Are you looking to build AI that actually delivers business results—not just another chatbot demo? I help startups, SaaS companies, and enterprises build production-ready AI systems that automate workflows, improve decision-making, reduce operational costs, and scale reliably. 🔹 Built 100+ AI-powered solutions 🔹 Top Rated AI/ML Engineer 🔹 Specialized in AI Agents, RAG, and Business Automation 🔹 Focused on real-world deployment, scalability, and measurable ROI ## What I Can Help You Build ✅ AI Agents & Multi-Agent Systems * Autonomous AI workflows * Research and analysis agents * Customer support agents * Sales and lead-generation agents * Multi-agent orchestration using LangGraph ✅ RAG (Retrieval-Augmented Generation) * Knowledge base chatbots * Internal document assistants * Citation-based AI systems * Enterprise search solutions * Vector databases (Pinecone, FAISS, Chroma) ✅ Generative AI & LLM Applications * OpenAI GPT-4o * Claude API * Gemini * Custom AI assistants * AI-powered SaaS features ✅ Workflow Automation * n8n automation * Zapier automation * AI-driven business processes * CRM integrations * API integrations ✅ Backend & AI Infrastructure * Python * FastAPI * LangChain * LangGraph * Vector Databases * Cloud Deployment * Production AI Architecture ## Recent Results ✔ Built AI customer support agent that reduced support workload by 60% ✔ Developed enterprise RAG platform achieving 95%+ response accuracy ✔ Automated business workflows saving 100+ hours per month ✔ Built multi-agent systems for research, reporting, and operational automation ## Why Clients Hire Me Many developers can build an AI demo. I build systems that: ✅ Work reliably in production ✅ Scale as your business grows ✅ Integrate with your existing tools ✅ Deliver measurable business value ✅ Are maintainable and cost-efficient ## Industries I Work With ✔ SaaS Startups ✔ AI Product Companies ✔ E-commerce Businesses ✔ Consulting Firms ✔ Enterprise Teams ✔ Operations & Support Teams Let's Build Something That Creates Real Business Impact Whether you're building an AI product, implementing RAG, developing AI agents, or automating business processes, I can help you design and deploy a solution that works in production. Send me a message with your project idea, and I'll suggest the best approach to get started.

😱 𝗟𝗲𝘁’𝘀 𝗷𝘂𝗺𝗽 𝗼𝗻 𝗮 𝑭𝑹𝑬𝑬 𝑪𝑨𝑳𝑳 𝗮𝗻𝗱 𝗱𝗶𝘀𝗰𝘂𝘀𝘀! 😱😱😱😱😱😱😱😱 so you can see my approach before deciding. I build production-ready AI and trading automation systems for clients who need more than a simple script. I am an AI/ML engineer with a Master’s degree in Artificial Intelligence and hands-on experience building trading automation, prediction-market tools, real-time data pipelines, dashboards, and AI-powered analysis systems. I help traders, founders, and technical teams turn trading ideas into working software: from data collection and backtesting to live monitoring, bot execution, alerts, dashboards, and AI-based decision support. My work combines AI/ML engineering, real-time market-data infrastructure, trading bots, dashboards, and deployment. I can help you move from an idea or manual workflow to a working system that collects data, analyzes signals, executes logic, sends alerts, stores results, and runs reliably on a VPS or cloud server. Recent project areas include Kalshi and Polymarket prediction-market systems, Webull bot interfaces, real-time WebSocket feeds, Telegram/Discord trading controls, ClickHouse/Grafana dashboards, Docker deployments, and AI-powered market-analysis pipelines. My recent work includes building and improving systems for Kalshi, Polymarket, Webull, and crypto/prediction-market workflows, including real-time WebSocket data processing, order book monitoring, Telegram/Discord bot interfaces, market-data dashboards, database pipelines, and Docker-based deployment on VPS/cloud infrastructure. What I can help you build Trading bots and automation tools Kalshi, Polymarket, Webull, crypto, and broker/API integrations Real-time market-data pipelines WebSocket order book, ticker, trade, and price-feed processing Backtesting and strategy research tools Telegram/Discord trading bots and alert systems AI-powered market analysis and signal-generation workflows Dashboards for monitoring trades, PnL, token usage, prices, and system health Dockerized deployment, logging, debugging, and VPS/cloud setup Data storage using PostgreSQL, ClickHouse, and related tools AI/ML experience I also have strong experience in deep learning and applied AI, including: PyTorch, TensorFlow, Keras, scikit-learn LLM and AI-analysis pipelines generative models: Audio/music/speech AI systems Computer vision and object detection Data analysis, feature engineering, and model evaluation Python automation and production ML workflows Trading-system experience I have worked on systems involving: Kalshi prediction-market bots Polymarket data monitoring and dashboards Webull bot interfaces Real-time price feeds I focus on practical, production-oriented development: clean Python code, clear communication, reliable deployment, and systems that can be monitored, debugged, and improved over time. I can work on trading infrastructure involving real-time market data, WebSocket feeds, order books, execution workflows, monitoring dashboards, and low-latency automation. For more advanced trading architecture such as HFT-style systems, OMS/EMS design, and institutional execution workflows. If you have a trading idea, AI workflow, automation task, or market-data problem, I can help you turn it into a working system. # Technical stack Python, PyTorch, TensorFlow, scikit-learn, Pandas, NumPy, PostgreSQL, ClickHouse, Grafana, Docker, Linux VPS, WebSockets, REST APIs, Telegram bots, Discord bots, OpenAI API, trading APIs, and AI/ML pipelines. I work best with clients who want clear communication, fast iteration, and practical engineering. I can help with research prototypes, MVPs, production grade bots, dashboards, infrastructure, or debugging existing systems. # Keywords : Algorithmic Trading, Algo Trading, Quant Trading, Quant Developer, Trading Bot, Trading Automation, Trading Strategy, Strategy Development, Backtesting, Live Trading, Paper Trading, HFT, Low Latency, Market Making, Order Book, Level2 Data, Level3 Data, Tick Data, Market Data, Execution Engine, OMS, EMS, DMA, Smart Order Routing, Risk Management, Position Sizing, Portfolio Management, Portfolio Optimization, Signal Generation, Alpha Research, Statistical Arbitrage, Pairs Trading, Mean Reversion, Momentum Trading, Trend Following, Scalping, Arbitrage, Options Trading, Futures Trading, Forex Trading, Crypto Trading, Equities Trading, Prediction Markets, Kalshi, Polymarket, Webull, Interactive Brokers, IBKR, Alpaca, Binance, Coinbase, MetaTrader, MT4, MT5, MQL4, MQL5, TradingView, Pine Script, NinjaTrader, QuantConnect, Lean, NautilusTrader, cTrader, FIX API, Broker API, Exchange API, REST API, WebSocket, Trade Execution, Order Routing, Order Management, Fill Handling, Slippage, Latency Optimization, Market Microstructure, Volatility, Greeks, Delta Hedging, Options Spreads, Credit Spreads, Debit Spreads, Short Premium, Risk Controls, Stop Loss, Take Profit, Trailing Stop, PnL Tracking, Trade Alerts, Telegram Bot, Discord Bot,

🔹 Top Rated Plus | 100% Job Success | 75+ Projects Delivered 🔹 AI Automation · LLM Development · OpenAI · Claude · RAG Systems · AI Agents 🔹 Production systems handling 1M+ API calls | Fintech · HealthTech · B2B SaaS 🔹 Founding Engineer at YC-backed Startup | 7+ Years Building AI & Backend Systems ━━━━━━━━━━━━━━━━━━━━━━━━━ Seven years ago I started as a backend engineer. Over time, I noticed a recurring problem across industries like healthcare, fintech, and B2B SaaS, administrative bottlenecks, fragmented data in multiple databases, and workflows that required constant human intervention, causing slow decision-making. Today, as an AI Solutions Architect, I solve these problems by designing and building systems that automate complex operations, unify data silos, and enable intelligent, real-time decision-making. I specialize in developing AI-powered platforms for B2B SaaS, HealthTech, and financial automation using Python, LLMs, RAG pipelines, and AI agents. I’ve implemented these solutions as a founding engineer and core technical lead at a YC-backed company, designing architectures that handle millions of API calls daily, support real-time analytics, and survive high traffic, strict compliance, and tight deadlines in production environments across multiple sectors. ━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗 ━━━━━━━━━━━━━━━━━━━━━━━━━ ➢ AI Workflow Automation for B2B SaaS As an AI Solutions Architect, I design LLM-powered pipelines that eliminate manual operations - including document processing, CRM enrichment, lead qualification, automated reporting, and multi-step agent workflows running without human oversight. ➢ RAG Systems & Intelligent Search Retrieval-Augmented Generation pipelines for SaaS products - document Q&A, internal knowledge bases, semantic search, and context-aware responses grounded in your private data. Built on Pinecone, FAISS, Weaviate, pgvector, or Chroma. ➢ LLM Integration & AI Agent Systems GPT-4o, Claude, Mistral, and open-source LLMs connected to your existing stack through LangChain, LangGraph, and multi-agent architectures with tool-calling and memory management. ➢ AI SaaS Backend Architecture Scalable Python backends with authentication, billing, REST APIs, async workers, and AI feature layers - designed by an AI Solutions Architect to take you from MVP to Series A without requiring a full rewrite. ➢ Agentic Automation Pipelines End-to-end ETL, data enrichment, and background workers that connect your AI systems to CRMs, ERPs, and third-party APIs - Celery, Redis, webhooks, and event-driven architectures. ━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗪𝗛𝗔𝗧 𝗠𝗔𝗞𝗘𝗦 𝗧𝗛𝗜𝗦 𝗪𝗢𝗥𝗞 ━━━━━━━━━━━━━━━━━━━━━━━━━ Most AI integrations fail at the architecture stage - the LLM works in isolation but breaks when connected to real data, real users, and real edge cases. Having operated as a founding and core engineer, I’ve been the person responsible for fixing those failures. Now, as an AI Solutions Architect, I design systems with failure modes in mind from the start: fallback handling, cost controls, latency budgets, and built-in observability. ━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗖𝗟𝗜𝗘𝗡𝗧 𝗙𝗘𝗘𝗗𝗕𝗔𝗖𝗞 ━━━━━━━━━━━━━━━━━━━━━━━━━ ⭐⭐⭐⭐⭐ "Having worked with many talented professionals in my Silicon Valley career, I can confidently say Hammad and his team are among the best." ⭐⭐⭐⭐⭐ "Hammad transformed my app beyond my expectations - fantastic work, extremely responsive, and proactive." ⭐⭐⭐⭐⭐ "A true professional with critical thinking and dedication. Hammad builds partnerships, not just transactions." ━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗧𝗘𝗖𝗛 𝗦𝗧𝗔𝗖𝗞 ━━━━━━━━━━━━━━━━━━━━━━━━━ 🤖 LLM & Agents: OpenAI · GPT-4o · Claude · Mistral · LangChain · LangGraph · CrewAI · Tool Calling · Prompt Engineering · Fine-tuning · Embedding Models · Model Evaluation 🗂 RAG & Vector: Pinecone · FAISS · Weaviate · pgvector · Chroma · Semantic Search · Document Intelligence · Hybrid Search 🐍 Backend: Python · Django · FastAPI · Flask · PostgreSQL · Redis · Celery · WebSockets · REST APIs ⚙ Infrastructure: AWS · GCP · Docker · CI/CD · Nginx · DigitalOcean · Hetzner · Cloudflare · Godaddy DNS etc ━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗕𝗘𝗦𝗧 𝗙𝗜𝗧 𝗙𝗢𝗥 ━━━━━━━━━━━━━━━━━━━━━━━━━ ✔ B2B SaaS companies adding AI automation to a core product or workflow ✔ Seed or Series A teams that need senior AI backend engineering ✔ Founders who need an AI-native architecture from day one ✔ Engineering teams integrating LLMs or RAG into an existing Python stack ✔ Products that need AI to handle real load, not just pass a demo Not the right fit for projects involving gambling, adult content, or that require rigid hourly time-tracking. 𝗦𝗲𝗻𝗱 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗼𝗿 𝗶𝗻𝘃𝗶𝘁𝗲 𝗺𝗲 𝘄𝗶𝘁𝗵 𝗱𝗲𝘁𝗮𝗶𝗹𝘀 𝗮𝗯𝗼𝘂𝘁 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁. I'll tell you honestly whether it's a good fit and what the right architecture looks like before any contract starts.