😱 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.

Full Stack Developer and AI /ML Engineer with 12+ years working in top-tier IT Consulting Companies and helping businesses overcome inefficiencies through multi-agent strategic operating systems. Recent business case studies: ⭐ Helped a law firm cut processes by 40% through LLM-driven automation ⭐ Guided a SaaS startup to integrate AI workflows, resulting in 3× user engagement ⭐ Designed AI roadmaps for SMEs to adopt RAG-based knowledge assistants ⭐ AI transformation for a private equity firm for their sales & marketing pipeline. My services: 🎨 AI Architecture Design 🚀 AI Development (Agents, Platforms, Products) 🔍 AI Commercialization Advising 🤖 AI Strategy for Market Trends and Insights 🧠 CTO | Tech advisor | Consultant – I can join your team on a partial basis How I can help: 💼 Identify your best AI opportunities in your business or market 🧠 Design and build your custom AI (agent, platform, product) 💸 Launch your AI to maximize profit & impact I spent the first 12+ years of my career as a professional engineer, working on complex, safety-critical projects in demanding real-world environments where reliability, attention to detail, and long-term thinking were non-negotiable. For the last 5+ years, I’ve applied that same mindset to building automation and AI systems for business owners- with a clear focus on outcomes, durability, and real operational impact. I’ve worked across industries including: ⭐ Construction & manufacturing ⭐ Real estate ⭐ Marketing agencies ⭐ Environmental consulting ⭐ Medicine & dentistry I deliberately keep systems simple, practical, and dependable. Any automation that doesn’t clearly improve revenue, reduce cost, or save time is not worth building- no matter how impressive the technology may look.

As a Top Rated Plus AI & Machine Learning Engineer (Top 3% on Upwork) with over 6 years of experience and a 100% Job Success Score, I deliver end-to-end enterprise AI implementations. My expertise spans heavy-compute machine learning, embedded IoT ecosystems, real-time voice intelligence, and autonomous agentic workflows. Having built intelligent applications, vision systems, and predictive pipelines for over 50 global clients across Fintech, Healthcare, Robotics, IoT, and SaaS, I prioritize structural risk mitigation, deterministic behavior, and clear data lineage to guarantee real corporate ROI. My practice focuses on engineering production-grade Retrieval-Augmented Generation (RAG) architectures and autonomous multi-agent networks governed by deterministic software frameworks. To ensure high factual precision and secure role-based access control, I replace naive chunking with advanced relational data indexing, multi-stage re-ranking, and custom self-RAG verification loops that systematically eliminate model hallucinations and minimize token overhead. When building multi-agent ecosystems to execute complex, multi-step business logic, I implement clean state transitions, persistent cross-session memory management, and secure tool invocation. This architectural discipline ensures that autonomous units handle real-world operational friction gracefully and self-correct without entering infinite execution loops. This commitment to low-latency orchestration and structural reliability extends directly to my real-time conversational Voice AI deployments. I build human-grade voice agents for inbound qualification and outbound telephony centered on conversational fluidity. By optimizing the complete text and speech streaming pipelines, I achieve response times under 600ms while establishing strict barge-in rules and turn-taking logic that accommodates natural human pauses. I anchor these Generative AI systems with deep foundational roots in traditional statistical machine learning, deep learning, and physical edge compute. Whether training custom neural networks or engineering real-time computer vision architectures for digital and edge devices - including past infrastructure deployments for rapid-growth tech startups - my code enforces mathematical and computational efficiency. I ensure hardware streams, embedded sensors, and unstructured data lakes feed cleanly into automated ETL pipelines, yielding actionable analytics and enterprise business intelligence dashboards. ============================================================================= TECH STACK & KEYWORD MATRIX: [ Agentic & RAG Orchestration ]: LangGraph, CrewAI, AutoGen, LlamaIndex, Semantic Kernel, Custom FSM Runtimes, Multi-Agent Architecture, Self-Correction Loops, Model Context Protocol (MCP) [ Enterprise Voice AI & Telephony ]: Vapi, Retell AI, ElevenLabs, Cartesia, Deepgram, AssemblyAI, Twilio API, SIP Trunks, WebRTC Audio Streaming, Turn-Taking Logic, Conversational Voice Agents [ LLMs, SLMs & NLP Ecosystem ]: GPT-4o, Claude 3.5 Sonnet, LLaMA 3, DeepSeek, Mistral, OpenAI API, Hugging Face, Natural Language Processing (NLP), Advanced Prompt Engineering, Model Routing Layers, Small Language Models (SLMs) [ Machine Learning & Computer Vision ]: TensorFlow, Keras, PyTorch, Scikit-Learn, OpenCV, Deep Learning, Image Processing, Spatial Intelligence, Object Detection, Semantic Segmentation, Data Science [ Edge Computing & Hardware Integration ]: Embedded Systems, Robotics, Embedded IoT, Real-Time Sensing, Physical Computing Architecture [ Cloud Infrastructure, MLOps & Data Engineering ]: AWS (Lambda, SageMaker, EC2, S3), Serverless Architectures, Microservices, N8N, Make, Automated API Integrations, SQL, Vector Databases (Qdrant, Pinecone, Milvus, pgvector), Neo4j Graph Databases, Advanced Data Analytics, BI Dashboards, Business Intelligence ============================================================================= FULL-STACK INTEGRATION & APPLICATION LAYER: I provide end-to-end full-stack integration to ensure intelligence is delivered seamlessly. I build robust Python and Node backends, design secure RESTful or GraphQL APIs, manage stateful data synchronization, and construct clean, responsive user interfaces. I handle the entire software lifecycle so your AI systems run flawlessly within your existing application ecosystem. PROJECT LIFECYCLE ROLES I'M AVAILABLE FOR: - Principal AI Agent Architect & GenAI Consultant - Senior Machine Learning & Computer Vision Specialist - Full-Stack AI Engineer & Workflow Automation Expert - Embedded IoT / Robotics ML Integration Lead Daily Availability: 8-12 Hours/Day (Depending on project scope and enterprise requirements) If you have an active project requiring battle-tested machine learning, robust multi-agent automation, and a reliable technical execution partner, let's connect and discuss how to turn your concepts into a production-ready reality.

⭐️Top Rated Plus — Top 1% on Upwork ⭐️ Over 100 Enterprise LLM and Computer Vision Solutions Delivered 💸 $5 Million+ Generated in revenue for top companies worldwide 🥇Gold Medalist in Computer Engineering & Microsoft Imagine Cup Winner I’m a Senior Computer Vision and AI, and Full-Stack Developer with 8+ years of experience building production-grade AI systems, Large Language Model (LLM) solutions, intelligent chatbots, and computer vision applications for startups and enterprises worldwide. I’ve helped 90+ companies across the US, Europe, and the Middle East launch scalable AI products and generate over $5M in revenue through automation, predictive systems, and generative AI. Currently, I lead Aeyron Technologies Pvt. Ltd. as CEO while delivering high-impact freelance AI solutions for global clients. If you’re looking for someone who can design, build, fine-tune, and deploy real AI systems and not demos, you’re in the right place. LLMs, Generative AI & Chatbots: • LLM fine-tuning and custom model training (LLaMA, LLaMA-2, BLOOM, OPT) • Prompt engineering and workflow optimization • RAG systems using LangChain, FAISS, ChromaDB • AI chatbot development and automation agents • API-based AI integrations for web and mobile applications Common use cases: AI assistants, document intelligence, knowledge-base bots, SaaS AI features, automated workflows. Computer Vision Expertise: • Object detection and tracking (YOLO, OpenCV, custom deep learning models) • OCR systems and document processing • Face recognition and biometric systems • Image segmentation and analytics • Video intelligence pipelines • 3D vision and stereo reconstruction • AR/VR vision-based applications Machine Learning & AI Engineering: • Predictive modeling and forecasting • NLP systems and text analytics • Time-series analysis • Reinforcement learning • Data pipelines and MLOps • AI automation tools • AI-powered dashboards and products Full-Stack & AI Product Development: Frontend: React, Angular, Flutter, Streamlit, Tailwind, Figma Backend: Node.js, Django, Flask, .NET, REST APIs Databases: MongoDB, PostgreSQL, MySQL, Firebase, SQL Server Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, Nginx, Heroku I deliver end-to-end AI products from MVP to enterprise scale. AI/ML Tech Stack: PyTorch, TensorFlow, Keras, OpenCV LangChain, LlamaIndex, FAISS, ChromaDB NumPy, Pandas, Scikit-learn, Matplotlib AWS SageMaker, Rekognition, GCP Vision API Why Clients Choose Me: - Top Rated Plus freelancer (Top 1%) - Proven $5M+ revenue impact - Production-grade AI systems - Clear communication and fast delivery - Business-focused AI solutions Typical Projects: • Custom LLM fine-tuning and private GPT systems • AI chatbots for SaaS and customer support • Computer vision pipelines • AI-powered SaaS platforms • Intelligent data products • AI workflow automation

AI Engineer | Machine Learning Expert | Python Developer | Computer Science Lecturer (10+ Years Teaching Experience) I am a passionate and results-driven AI Engineer, Machine Learning Specialist, and Python Web Developer, with more than 10 years of experience teaching Computer Science at BS, Intermediate, and College levels. I combine deep technical expertise with strong teaching skills to deliver AI-powered solutions and high-quality online learning experiences to students worldwide. 🔍 What I Offer 🚀 AI & Deep Learning Solutions Expertise in TensorFlow, PyTorch, Keras Skilled in computer vision, NLP, transformers, GANs Building end-to-end pipelines: data preprocessing → training → deployment Experience with explainable AI, model optimization, and performance tuning 📊 Machine Learning Supervised, unsupervised learning & advanced ML algorithms Scikit-learn, XGBoost, LightGBM Model selection, evaluation, and real-world application development 🧠 Generative AI Applications LLM-based apps, text generation, and content automation Image generation and AI creativity tools (GANs, diffusion models) 🐍 Python Web Development Expertise in Django, Flask, FastAPI Integrating AI/ML models into production-ready applications API development, dashboards, analytics platforms 🌐 Web Scraping & Automation BeautifulSoup, Scrapy, Selenium Automated data collection, large-scale scraping, workflow automation 📝 Research Writing Published work in AI, Machine Learning, Deep Learning, and Computer Vision Writing research reports, projects, and articles in domains including: Healthcare Agriculture Environmental monitoring IoT systems 👨‍🏫 Online Teaching & Training Services (New Service Added!) Alongside my engineering background, I am also an experienced Lecturer in Computer Science with more than 10 years of teaching BS-level and college-level subjects. ✅ I Teach the Following Subjects & Skills: Python programming (Beginner to Advanced) Machine Learning & Deep Learning Data Structures & Algorithms C & C++ programming Web Development: HTML, CSS, JavaScript, PHP, MySQL Computer Science Subjects: Operating Systems Database Systems Object-Oriented Programming Software Engineering Computer Networks FYP guidance and thesis support for BS & MS students Special coaching for Matric, Intermediate, and O-Level Computer Science ✅ Teaching Style Concept-based learning with real examples Live coding sessions Assignments + practice problems Interview preparation (DSA, coding tests) Personalized learning approach Course materials + recordings (if required) I have taught at FG Liaquat Ali Degree College, FG schools, and multiple platforms, providing structured lessons, assessments, and personalised student support. ⭐ Why Clients Love Working With Me ✅ Strong blend of technical expertise + teaching ability ✅ Clear communication and smooth collaboration ✅ Quality-driven solutions with real impact ✅ Professional experience in both industry and academia ✅ End-to-end development: idea → development → deployment → training ✅ Let’s Work Together Whether you need a full AI solution, a smart Python application, a research article, or high-quality online tutoring, I am here to help. 🌟 Ready to bring your idea to life or learn new skills the right way? Let’s connect! Best Regards Muddasar Khan

I build production-ready AI systems RAG pipelines, AI agents, and LLM-powered apps , that turn messy data and manual processes into reliable, automated workflows. 21 projects delivered on Upwork with a 100% Job Success score. Most AI projects look great in a demo and break in production. I focus on the opposite: systems that stay accurate, fast, and affordable once real users and real data hit them. Here's what I help clients build: • RAG systems : chatbots and Q&A tools that answer from your own documents, knowledge bases, and data, with proper retrieval and minimal hallucination • AI agents & automation : multi-step agents that research, summarize, and take actions using LangChain and LangGraph • LLM integration : connecting OpenAI, Anthropic Claude, and open-source models (Llama, Mistral) into your product or internal tools • Optimization : fine-tuning, prompt engineering, and caching to push accuracy up and API costs down My typical stack : Python, LangChain, LangGraph, LlamaIndex, FastAPI, vector databases (Pinecone, Chroma, FAISS), Hugging Face, Docker, and AWS/GCP/Azure. I communicate clearly, scope honestly, and tell you when an AI solution is overkill versus when it's the right call. That's a big part of why my clients keep coming back. A few recent results: • Built a RAG chatbot over 500+ documents that cut support response time more than half. • Reduced LLM API costs by 40% through prompt optimisation and caching. • Shipped an AI agent that automated 10 tasks, saving the team 20 hours per week. If you have an AI idea anything from a quick prototype to a full production system send me a message describing what you're trying to build. I'll reply with an honest take on how I'd approach it, what it would realistically take, and whether it's worth doing.

Many AI projects fail not because of the algorithms, but because the underlying scientific or engineering problem is misunderstood. My background allows me to bridge that gap. I hold a PhD in chemistry and technology and have many years of experience working on research, industrial processes, data analysis, and software development. My background includes patents, peer-reviewed publications, and practical industrial experience, allowing me to approach projects from both scientific and engineering perspectives. Over time, my work naturally expanded into machine learning and AI, where I now build solutions for both scientific and commercial applications. I work with clients who need more than someone who can train another neural network. Often the real challenge is understanding noisy experimental data, choosing the right model, designing a reliable workflow, or translating domain knowledge into software. Typical projects include: • Machine learning and deep learning • Large language model applications and AI agents • Scientific data analysis and visualization • Chemometrics and multivariate statistics • Computational chemistry • Spectroscopy, chromatography and mass spectrometry data • Process optimization and modeling • Python software for research and engineering • Custom algorithms and automation I choose technologies based on the problem rather than the other way around. My primary tools include Python (NumPy, SciPy, scikit-learn, PyTorch, TensorFlow, Keras), R, MATLAB, and modern cloud technologies whenever they make sense for the project. I enjoy difficult problems, especially when they sit at the intersection of science and software. Some clients come to me with a well-defined specification; others only know that "the data doesn't make sense yet." Both are perfectly fine. Whether you represent a startup exploring a new idea, an established company improving an existing process, or a research group working with complex experimental data, I'll be happy to discuss your project and see whether I'm the right person to help.

Experienced data scientist with over 4 years of experience in machine learning projects. Active participant on Kaggle, a google backed platform for data science competitions, rated within Top 1% data scientists globally. Have experienced in deep neural networks, convolution neural networks, recurrent neural networks, genetic algorithms, natural language processing, support vector machines, and generative adversarial networks. 𝐒 𝐊 𝐈 𝐋 𝐋 𝐒 ------------------------- 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 : - CNN, - DNN, - RNN/LSTM, - GAN, - Transformers, - Auto-Encoders, - HMM-GMM - SVM, - Boosting, - Random forest, 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 : - C, - C++, - Python, - R, - Matlab, - CUDA(Beginner). 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸/𝗟𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 : - Tensorflow, - Tensorflow lite, - Tensorflow js, - Keras, - Pytorch, - RASA, - Pandas, - Scikit-learn, - Open CV, - Tesseract OCR, - Kaldi, - OpenFace, - SpaCy, - NLTK, - Open Pose, - Others as well based on experience. 𝗧𝗼𝗼𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 : - Jupyter-notebook - Google Colab - Pycharm - R-Studio 𝗣𝗮𝘀𝘁 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗼𝗿𝗸 : - Generating karyotype from Chromosome micro slide image. - Identify boundaries of wound and measurement of wound - Extensive object detection, Detection of Sky, Window, Glass, Tree, building. - automated tool for detecting norms and stereotypes in popular culture. - Deep Learning with Image processing for the transformation of style from one image to another. - Mobile embedded object detection model with TF-lite. - Developed an algorithm to generate a 3D model of faces from a single 2D mobile selfie using Python, Convolutional Neural Networks, PyTorch, and CUDA. - Created an algorithm for image and video compression using similarity between images with the help of OpenCV. - Developed an algorithm for the classification of different sounds of drones using MFCC and LPCC features and then SVM and HMM-GMM classifiers. - Created a default loan predictor algorithm with 99.4% accuracy using Python and deep neural networks. - Created an optical character recognition for English language using Python and OpenCV,. - Extracted the Legos from the videos and the classify it into 52 different classes using the convolutional neural network using Python. - Worked on the CNN based binary text classification for the movie reviews to identify the positive and negative reviews with neural networks and Python. - Developed an algorithm for moving object detection, which can find a moving object in a vibrant environment using deep neural networks, OpenCV, and Python. - Many other projects I have worked on. Few of them are signed with NDA. I shall be glad to provide any information/clarification that you might need to make a better decision. If you like my work. Please Direct Message me OR invite me to your job. I will happy to connect and take your project to success. Thanks for taking the time to read through my profile. Looking forward to talking to you. Thanks

Most AI automation projects fail when they need to work inside real business workflows. I design and build LLM-powered systems that automate business operations using RAG, AI agents, and custom backends. The goal is simple: reduce manual work, fit into how your team already operates, and build something people actually use day to day. What I build: AI automation systems for business workflows AI agents for support, operations, and internal tools RAG-based knowledge systems connected to docs, PDFs, or databases Chatbots that can take real actions, not just answer questions Backend systems for LLM-powered applications, including APIs and integrations When clients usually reach out: When repetitive manual processes are slowing things down When internal knowledge is scattered or hard to access When support or operations need automation When they want to add real AI functionality into an existing product When previous AI solutions did not work in real-world usage How I approach projects: I focus on building systems that work in practice, not just demos. That means designing around your actual workflows, keeping the backend clean and maintainable, and making sure everything integrates properly with your tools and data. I also prioritize clear communication and iterative delivery. Most AI projects fail because of execution, not because the technology is lacking. My focus is making sure what we build actually works reliably once it is deployed. Tech stack: LLMs and AI tools include OpenAI, Claude, Gemini, and Llama Frameworks include LangChain and LangGraph Vector databases include Pinecone, FAISS, and Chroma Backend development with Python, FastAPI, Flask, and Django Infrastructure and integrations using Docker, APIs, and AWS Recent work AI agents built for workflow automation RAG systems connected to company knowledge bases NLP-based clustering and data processing systems Fixing and deploying dialogue systems Personalization systems and machine learning pipelines If you are building something with AI, or trying to figure out the right way to approach it, feel free to message me with your use case. I can help you scope it properly and turn it into something that actually works. Keywords AI Engineer, LLM Engineer, Generative AI, AI Automation, AI Agents, Chatbot Development, RAG, Retrieval Augmented Generation, OpenAI API, Claude API, Gemini API, Llama, LangChain, LangGraph, Python, FastAPI, Backend Development, API Integration, Workflow Automation, NLP, Semantic Search, Vector Database, Pinecone, FAISS, ChromaDB, Knowledge Base Chatbot, PDF Chatbot, Embeddings, ML Pipeline, AI SaaS Development