I am a full-stack Python, C++ AI/ML/ Computer vision / 3d reconstruction developer ✅ Top Rated PLUS Upwork Freelancer ✅ 15000+ hours worked ✅ 120+ Jobs Completed ✅ $300k+ earned Computer Vision and Machine learning - Computer Vision | Machine learning OpenCV,PCL,ROS,Detectron,YOLO, VTK, Intel Realsense, Zed camera, Zivid camera, NLP, Transformers - Computer Vision, Image Processing, OpenCV, OpenGL, MKL, ITK, VTK - Deep Learning, caffe, Tensor flow, Pytorch - YOLO, DETECTRON -Desktop application development using C++/Qt, Python -3d reconstruction, NLP using Matlab,R, Python, OpenCV, OpenGL,CUDA,OpenCL, MKL, ITK, VTK,PCL,ROS,R, Transformers. -Machine and Deep Learning using SVM, KNN, Neural Networks(TensorFlow, Yolo, Detection, Pytorch). -GUI development, sockets. -Stereo Vision and 3d reconstruction. SLAM and SFM algorithms implementation and improvement. -Video/Audio streaming over network using LIBVLC, FFMPEG, GSTREAMER. -Natural language processing using BERT, BART. -Development of technically complex projects and scientific articles. -Generic programming, OOP. -Complex algorithms & data structures.

𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 with 3+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 transforming raw data into powerful AI solutions. I specialize in building 𝗰𝘂𝘀𝘁𝗼𝗺 𝗠𝗟/𝗗𝗟 𝗺𝗼𝗱𝗲𝗹𝘀 for 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 & 𝗡𝗟𝗣, tailored to real-world startup and production needs As a 𝗠𝗲𝗰𝗵𝗮𝘁𝗿𝗼𝗻𝗶𝗰𝘀 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲, I focus on (𝗧𝗶𝗻𝘆𝗠𝗟) 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 and 𝗱𝗲𝗽𝗹𝗼𝘆𝗶𝗻𝗴 𝗔𝗜 𝗺𝗼𝗱𝗲𝗹𝘀 𝗼𝗻 𝗲𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀, from data preprocessing and model training to deployment, including 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗥𝗧𝗦𝗣 𝗰𝗮𝗺𝗲𝗿𝗮 𝘀𝘁𝗿𝗲𝗮𝗺𝘀, delivering intelligent, scalable solutions with real-world impact

𝐃𝐞𝐟𝐢𝐧𝐞 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐜𝐞𝐬𝐬 𝐚𝐧𝐝 𝐈’𝐥𝐥 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐚𝐧 𝐀𝐈 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐭𝐡𝐚𝐭 𝐫𝐮𝐧𝐬 𝐢𝐭 𝐟𝐨𝐫𝐞𝐯𝐞𝐫, 𝐖𝐢𝐭𝐡 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐠𝐫𝐚𝐝𝐞 𝐫𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲 I’m Hassan, Founder at Antematter and an AI Engineer and Full stack architect crafting agentic systems that execute complex tasks 24/7 to turn AI implementation into a scalable revenue generator. 𝐂𝐥𝐢𝐞𝐧𝐭 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐭𝐨𝐫𝐢𝐞𝐬 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐚 $250𝐌+ 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 Collaborated with an enterprise in the chemical sector to design AI agents that automated their RFP generation process, cutting turnaround times from days to hours. This transformation improved client response speed and internal coordination, resulting in tangible operational gains. 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 𝐟𝐨𝐫 𝐏𝐫𝐞𝐦𝐢𝐮𝐦 𝐁𝐥𝐚𝐜𝐤 𝐂𝐚𝐫 𝐒𝐞𝐫𝐯𝐢𝐜𝐞: For a luxury transportation company serving executives from Google and Amazon, I built an AI driven support assistant capable of autonomously handling Level 1 queries. The solution improved customer satisfaction and freed the internal team to focus on high-touch services. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐭𝐚𝐜𝐤 & 𝐒𝐤𝐢𝐥𝐥𝐬 Languages: Python (FastAPI, Django), JavaScript (Node.js, React). AI Orchestration: FastMCP, LangGraph, AutoGen, CrewAI, OpenAI, Claude. Automation: n8n, Zapier, Make, Celery, Docker. Security: NVIDIA OpenClaw, NemoClaw, kernel-level sandboxing, data sovereignty reviews. Reliability: DeepEval, Braintrust, Evaluation-Driven Development (EDD). 𝐇𝐨𝐰 𝐈 𝐁𝐮𝐢𝐥𝐝 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 I focus on designing modular, scalable agents engineered to your unique workflows. Every system is engineered to learn, adapt, and integrate seamlessly into your ecosystem, delivering continuous value rather than one-off automation. 𝐒𝐩𝐞𝐜-𝐃𝐫𝐢𝐯𝐞𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Each project begins with a clear technical specification, defining every feature, function, and interaction upfront. This ensures predictable delivery, transparent communication, and zero surprises during AI agent development. If you’re ready to turn your AI vision into a production grade solution, let’s connect. AI Agent Development | AI Automation | LLM Integration | RAG | Retrieval Augmented Generation | ChatGPT API | Claude API | OpenAI API | LangChain | CrewAI | AutoGen | Prompt Engineering | Fine-Tuning LLMs | Multi Agent Systems | Agentic AI | Generative AI | AI Chatbot Development | Conversational AI | Voice AI Agent | Voice Agent Developer | AI Powered SaaS | SaaS Development | Full Stack Developer | Next js | React | Node js | Python | FastAPI | Django | Flask | API Development | API Integration | Microservices Architecture | Headless CMS | n8n Automation | Make Zapier | Business Process Automation | Workflow Automation | RPA | CRM Automation | No Code Low Code Automation | Twilio Integration | VoIP AI | Call Center AI | Speech to Text | Text to Speech | Vapi | Retell AI | Document AI | Intelligent Document Processing | OCR | Data Extraction | Vector Database | Pinecone | ChromaDB | Knowledge Base Development | Computer Vision | AI Copilot | MCP | Model Context Protocol | PostgreSQL | MongoDB | Supa base | Firebase | AWS | Docker | CI/CD | MVP Development | AI Workflow Orchestration | Web Scraping | Data Pipeline | Machine Learning | Deep Learning | NLP | Natural Language Processing | Semantic Search | Embedding Models | AI Integration Specialist | OpenClaw | NemoClaw | Claude.

I build production-grade ML systems and agentic automation infrastructure that transform raw data into real-time decisions, workflows, and execution systems. My work sits at the intersection of: * Machine learning systems (forecasting, prediction, optimization) * Agentic workflows (multi-step automation, decision agents) * Real-time data infrastructure (APIs, pipelines, monitoring systems) The outcome is simple: systems that don’t just analyze data — they act on it. What I Build 1. ML Forecasting & Predictive Systems Production-ready time-series and predictive pipelines: * Demand, revenue, and behavioral forecasting systems * Prophet and deep learning-based models * Automated retraining and versioned inference APIs * Real-time scoring for live production environments 2. Optimization & Decision Engines Turning constraints into executable systems: * MILP-based optimization (routing, allocation, scheduling) * Policy simulation and scenario modeling * Resource allocation and tiering engines * Decision automation tied to live data streams 3. Agentic Automation Systems (LLM + Workflow Agents) Autonomous multi-step systems that execute workflows: * Multi-agent orchestration pipelines * Workflow automation and decision simulation systems * Signal extraction → reasoning → action pipelines * Event-driven agents for monitoring and execution 4. Real-Time Data Infrastructure Production-grade data systems for high velocity environments: * FastAPI-based inference and orchestration layers * Event-driven pipelines (APIs, SFTP, streaming sources) * Time-series databases (TimescaleDB, etc.) * Monitoring, logging, and failure recovery systems 5. Financial & Risk Systems Applied ML for high-stakes decision environments: * Credit risk scoring and financial analytics pipelines * Trading signal generation and backtesting systems * P&L simulation and scenario modeling * Structured decision support systems Selected Production Work Real-Time Telecom Forecasting System Built a forecasting and matching engine processing 30,000+ users with 15-minute refresh cycles on Azure, replacing manual allocation logic with a production ML + API system. Multi-Agent Intelligence System (PulseAgent) Designed a multi-agent workflow system that orchestrates reasoning and execution across data sources for automated decision-making. Decision Intelligence Engine (Deal Intelligence Agent) Built a signal extraction and ranking system that converts raw data into actionable business intelligence using ML + agent workflows. Automated QA & Monitoring System Developed a production monitoring system for validating pipelines, detecting failures, and ensuring system reliability in real time. Credit & Financial Risk Automation System Engineered a financial analytics engine for credit evaluation, ratio modeling, and automated risk scoring How I Work I design systems with production reality in mind: * Every model is deployed behind an API or workflow engine * Every system includes observability and failure handling * Every output is traceable, testable, and reproducible * Every pipeline is built for real operational use, not demos If it doesn’t run reliably in production, it doesn’t ship. Who I Work With * Startups building AI-driven products * Fintech and analytics teams * Companies automating decision workflows * Teams moving from manual analysis → autonomous systems Let’s Work Together If you need systems for: * Forecasting and prediction at scale * Optimization and decision automation * Agentic workflows or AI-driven systems * Real-time ML infrastructure in production I can design and deploy the full system end-to-end.

Top Rated Plus developer with a 100% Job Success Score specializing in high-performance Android (Kotlin/Jetpack Compose) and iOS (Swift/SwiftUI) applications. I provide a competitive edge by integrating on-device AI - from custom fine-tuned YOLO models for real-time detection to local LLM integration for intelligent UX. Simultaneously, I offer expert-level React Native development for clients seeking high-intensity, scalable cross-platform solutions. I bridge the gap between complex AI logic and polished mobile UX. A recent production success includes a YOLO-based scanning app achieving a 100% detection rate and 99% OCR accuracy via TensorFlow Lite. Technical Expertise: - On-Device AI & Vision: Expert in custom YOLO, OpenCV, and Google ML Kit for real-time scanning and on-device LLM features. - Native Excellence: Senior-level SwiftUI and Jetpack Compose development focusing on clean MVVM/MVI architecture. - High-Intensity React Native: Building robust cross-platform apps with seamless native-module integrations and high-performance UI. - Backend & Cloud: Scalable infrastructure using AWS Lambda, Firebase, Supabase, GraphQL, and REST APIs. - Growth & Revenue: Integration of MMPs (AppsFlyer, Adjust) and analytics (Mixpanel, Customerio) to track revenue and user behavior. - Modernization: Expert at migrating legacy codebases to modern frameworks and optimizing app performance. I lead projects from the first line of code to App Store/Google Play deployment, ensuring every app I ship is production-ready, performant, and data-informed.

Expert in ✅ Telecommunication ✅Data Science ✅ Machine Learning ✅ Deep Learning ✅ Strong Mathematical and Statistical understanding and experience in developing and designing Quality Products. Detailed expertise includes: ✅ Product Design ✅ Machine Learning mathematical concepts and algorithms ✅ Python (NumPy, Pandas, Scikit-learn, TensorFlow, Keras, Fast.ai, PyTorch, Flask, Matplotlib, Seaborn) ✅ Signal Processing ✅ Vehicle to Infrastructure Communication Models ✅ Vehicle to Vehicle Communication Models ✅ Orthogonal Frequency Division Multiplexing (OFDM) ✅ Non-Orthogonal Multiplex access (NOMA) ✅ Reconfigurable intelligent surfaces (RIS) ✅ Working with Big Datasets ✅ MATLAB ✅PCBWeb Designer ✅ Proteus ✅ Technical Writing If you are looking for an expert telecommunication Engineer with machine learning and data science expertise you are at the right place. I would be thrilled to work with you. Let's connect and explore how we can create an impactful solutions together! Regards,

😱 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,

𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝: 𝐓𝐨𝐩 𝟏% 𝐨𝐧 𝐔𝐩𝐰𝐨𝐫𝐤 🥇 Senior Agentic AI Developer with 6+ Years of Experience | Shipped 50+ Role-Critical AI Agent + RAG Chatbots | Conversational AI | Senior AI First Full Stack Developer with Python(FastAPI + React) | Principal AI/ML | GenAI, LLM, Fine-tuning, Cloud(Azure, AWS, GCP) | I'm Samran Elahi, a Senior AI / Machine Learning Engineer who has worked extensively with NLP and Agentic AI. I'm equally skilled in automating custom workflows, developing LLMs, building RAG Powered Chatbots, and designing Machine Learning Models along with fine-tuning and Deploying them on AWS / Azure / GCP, or Runpod. ✅ 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐫𝐢𝐧𝐠 𝐭𝐨 𝐓𝐚𝐛𝐥𝐞 — 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐰𝐢𝐭𝐡 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ■ Natural Language Processing Expertise ✓ Chatbots and Conversational AI Development ■ AI Agents + RAG Chatbots Development Expertise ✓ Custom AI Agents built with LangChain / LangGraph. ✓ Role-critical MCP Agents for complex task handling. ✓ RAG-powered Chatbots with integrated LLMs (OpenAI, Claude, Mistral.) ✓ Frontend: React, Streamlit, Chainlit | Backend: FastAPI, Django. ✓ Vector DBs: Pinecone, FAISS, Weaviate. ■ Conversational AI with Real-Time Communication Capabilities ✓ Tools: ElevenLabs, Voice.ai, Retell.ai, Vapi integrations. ✓ Real-time API integration for seamless voice interactions. ■ Custom ML Model Development, Integration, and Deployment ✓ Supervised Learning: Regression, Classification. ✓ Unsupervised Learning: Clustering, Dimensionality Reduction, Anomaly Detection. ✓ Hyperparameter Tuning: GridSearch, RandomSearch, Bayesian Optimisation. ✓ Parameter-Efficient Fine-Tuning (PEFT). ✓ Model Deployment: Runpod, AWS, GCP, EC2. ✓ Model & Data Versioning: DVC. ✓ REST API Development: FastAPI, Flask, Django. 📢 Available, let's have a quick chat to go over the scope of your project. Best, Samran Elahi

I'm an AI agent developer and backend architect with 10+ years building production AI systems: autonomous agents, RAG pipelines, and automation that hold up under real users and real load. I've scaled platforms to 50M+ users and shipped AI for clients across the US, UK, and Australia. IIT Kanpur alumnus. I bring both the systems depth to make AI reliable and the product sense to make it useful. What I build: 1. AI agents and agent infrastructure. Autonomous agents, MCP servers, tool use, function calling, and multi-agent orchestration that run real workflows across ops, sales, and support. I also build the harness around them, state, retries, guardrails, and observability, so they hold up in production, not just in demos. 2. RAG pipelines that survive real load. Query embedding, parallel vector search, context assembly, and streaming LLM synthesis, with ETL ingestion, chunking, dedup, and PII guardrails built in. 3. Scalable, multi-tenant backend architecture. Node.js, TypeScript, NestJS, and Python microservices with multi-tenancy, governance, and security designed in from the start, over polyglot data layers: Postgres, MySQL, MongoDB, Redis, Elasticsearch, Neo4j, ClickHouse. 4. Workflow automation and integrations. End-to-end automations with n8n, Make, Zapier, and Temporal, wired into the tools teams already use: Slack, Notion, WhatsApp, ClickUp, Telegram, and more. Selected work: - Scaled a creator-economy platform to 50M+ users on AWS EKS and Cloudflare Workers, including payments infra with Stripe Connect, Apple IAP, and Google Play Billing. - Built AI agents and MCP servers for an AI-native business platform handling finance, sales, and support workflows. - Re-architected an autonomous AI worker platform for multi-tenancy, scalability, governance, and security. - Designed a conversational RAG copilot on PostgreSQL + pgvector for project management and admin tasks via natural language. - Integrated Facebook, Google, Instagram, and TikTok ad APIs across 800+ store locations for local inventory ads and ROI tracking. Core stack: Models and frameworks: GPT-4o, Claude, Gemini, LangChain, LlamaIndex, AutoGen, CrewAI, LangGraph, LangSmith, Semantic Kernel, DSPy. Agent infrastructure: MCP servers, function calling, tool use, multi-agent orchestration, OpenClaw, Hermes, LangServe, Modal, Replicate. Vectors and memory: Pinecone, pgvector, Weaviate, Chroma, Redis. ML and DL: TensorFlow, PyTorch, Hugging Face, Scikit-learn. Backend: Node.js, TypeScript, NestJS, Python, FastAPI, GraphQL, WebSockets, WebRTC, RabbitMQ. Data: Postgres, MySQL, MongoDB, Redis, Elasticsearch, Neo4j, ClickHouse, Firebase. Integrations: Slack, Notion, WhatsApp, ClickUp, Telegram, Twilio, Akamai, Rosette, Facebook Graph, Stripe, and marketing APIs across Facebook, Google, TikTok, Twitter, and Dropbox. Cloud: AWS (Lambda, RDS, SQS, OpenSearch, Neptune, S3, ElastiCache, Comprehend, Rekognition), GCP (Firestore, Cloud Functions). If you need someone who can take an AI idea from prototype to a system that survives real users and real load, let's talk. I reply fast and ship faster.

𝐏𝐲𝐭𝐡𝐨𝐧 • 𝐃𝐣𝐚𝐧𝐠𝐨 • 𝐅𝐥𝐚𝐬𝐤 • 𝐅𝐚𝐬𝐭𝐀𝐏𝐈 • 𝐑𝐞𝐚𝐜𝐭.𝐉𝐒 • 𝐀𝐧𝐠𝐮𝐥𝐚𝐫.𝐉𝐒 • 𝐍𝐞𝐱𝐭.𝐉𝐒 • 𝐍𝐨𝐝𝐞.𝐣𝐬 • 𝐕𝐮𝐞.𝐉𝐒 • 𝐓𝐞𝐧𝐬𝐨𝐫𝐅𝐥𝐨𝐰 • 𝐂𝐡𝐫𝐨𝐦𝐞 𝐄𝐱𝐭𝐞𝐧𝐬𝐢𝐨𝐧𝐬 • 𝐒𝐞𝐜𝐮𝐫𝐞 𝐀𝐏𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐀𝐛𝐨𝐮𝐭 𝐌𝐞:- I am a problem-solver at heart and a builder by trade, blending the worlds of AI, machine learning, and full-stack web development to craft next-gen digital experiences. With a foundation rooted in Python and a passion for scalable intelligence, I architect solutions that aren't just smart, they’re transformative. From building AI models that see, understand, and predict, to launching full-stack platforms that integrate those models in real-time, I thrive at the intersection of code, creativity, and cutting-edge tech. Whether you need a smart Chrome extension, an AI-powered SaaS platform, or a custom deep learning pipeline, I bring the tools, mindset, and execution to get it done. 𝐂𝐨𝐫𝐞 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐭𝐢𝐞𝐬 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 Custom Model Development: Deep learning and ML using TensorFlow, PyTorch, Hugging Face Computer Vision: Real-time image & video processing, object detection, frame-rate optimization Smart Data Pipelines: Automated data collection, annotation, pre-processing, and feature extraction 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐖𝐞𝐛 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Frontend: React, Angular, Vue, Tailwind, Bootstrap, TypeScript, Redux Backend: Python, Django, FastAPI, Flask, Node.js, Laravel, Symfony Databases: PostgreSQL, MongoDB, MySQL API Integration: Secure RESTful APIs, real-time sync, token-based auth 𝐂𝐡𝐫𝐨𝐦𝐞 𝐄𝐱𝐭𝐞𝐧𝐬𝐢𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠:- Custom extensions (Manifest V2/V3) using JS or modern frameworks In-browser AI tools, automation, data scraping, UI enhancements 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 Cloud: AWS, Heroku, Vercel, Netlify, Azure CI/CD: Docker, Jenkins, GitHub Actions, Nginx Version Control: Git, Bitbucket, SVN 𝐍𝐨𝐭𝐚𝐛𝐥𝐞 𝐖𝐢𝐧𝐬 Built computer vision AI that analyzed live video feeds across multiple industries Launched full-stack platforms with real-time AI inference on the front-end Developed automation systems that reduced manual work by 60% Engineered Chrome extensions with built-in AI — boosting productivity and scraping efficiency 𝐖𝐡𝐚𝐭 𝐒𝐞𝐭𝐬 𝐌𝐞 𝐀𝐩𝐚𝐫𝐭 AI Meets UX: I bridge the gap between back-end intelligence and intuitive front-end design — bringing ML predictions to the browser in real-time. Builder’s Mentality: I don't just ship code. I craft solutions that are scalable, user-focused, and business-ready. Security-Driven: From encrypted user flows to secure APIs — data integrity is always top of mind. 𝐓𝐨𝐨𝐥𝐬 & 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐈 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐀𝐈/𝐌𝐋: TensorFlow, PyTorch, Hugging Face, Scikit-learn, OpenCV, Pandas, NumPy, OpenAI 𝐃𝐞𝐯𝐎𝐩𝐬: Docker, Nginx, Jenkins, Heroku 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐓𝐨𝐨𝐥𝐬: Asana, Trello, OpenProject, Jira 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬: Linux, macOS, Windows 𝐋𝐞𝐭’𝐬 𝐁𝐮𝐢𝐥𝐝 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐓𝐨𝐠𝐞𝐭𝐡𝐞𝐫 I am always excited to collaborate on projects that push the boundaries of what AI and software can do, whether you're building a smart SaaS tool, automating workflows, or launching a product from scratch. 𝐋𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 𝐢𝐟 𝐲𝐨𝐮’𝐫𝐞 𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐨𝐧: AI-powered web applications Custom ML model development and deployment AI Chatbot, Agent and Trading Solution building Chrome extension development Data-driven dashboards and analytics Intelligent automation systems Together, we can turn innovative ideas into intelligent, high-impact products.