I’m a Quantitative Developer and active trader with over 6 years of experience building and trading production-grade algorithmic systems across stocks, options, futures, forex and crypto. I build everything from backtesting and strategy research infrastructure to live execution engines, market-data pipelines, risk systems and pricing models for complex financial instruments. I regularly develop, backtest, optimize, forward test and live trade strategies across multiple asset classes, including arbitrage, hedging, prediction model-based strategies, trend and momentum systems and multi-legged options strategies. I also work extensively with AI and agentic systems, building AI-powered trading workflows, natural-language strategy generation and agent-based development, code review, debugging, testing and validation pipelines. My experience spans traditional brokers including Interactive Brokers, Zerodha, Charles Schwab and Alpaca, centralized crypto exchanges such as Binance, Coinbase and Bybit, decentralized trading platforms such as Hyperliquid, prediction markets including Polymarket and Kalshi, OTC and CFD markets and other trading platforms including MetaTrader and TradingView.

🚀Unlocking the Power of Data: Expert Data Scientist at the ready ⭐️Crafting Data Stories with Python and Precision 🕒 4+ Years of Specialized Experience ✅ Numerous Successful Projects across AI, ML, NLP, and Computer Vision ✅ Driving Innovation with Data-Driven Solutions With more than 4 years of experience in data science, I specialize in machine learning, AI, NLP, and computer vision. My expertise has been applied in a range of projects, from working with dynamic startups to collaborating with established industry leaders. I've led initiatives that improved business intelligence and introduced AI-driven innovations. My skills in Python, TensorFlow, PyTorch, and Keras enable me to develop advanced data models that guide strategic decision-making and foster innovation. My roles at Educative.io and Ekkel AI have established me as a notable contributor to data science education and the advancement of technology. My work has had a significant impact in both academic settings and practical industry applications. I am passionate about transforming complex data into powerful tools that enhance performance, unlock new opportunities, and deliver value to businesses. I approach every project with a focus on delivering strategic insights, working collaboratively to meet project objectives, and maintaining a commitment to meet deadlines with precision. My goal is to use data science to advance your projects, overcome challenges, and turn data into a valuable asset. Let's connect to transform your projects with data-driven insights and innovative solutions.

I have a 100% Job Success rating and 5+ years of experience. I am an expert in AI prompting and a seasoned consultant in Python, JavaScript, and Microsoft products. I specialize in leveraging the power of technology to deliver exceptional results for my clients. In my previous projects, I have demonstrated my expertise in various areas. For instance, I collected information from over 50 websites, gathering data for multiple variables and consolidating it into a spreadsheet with over 10 million rows and 40 columns. Additionally, I have scraped course catalog data from multiple universities, ensuring accurate and reliable information. Currently, I am finalizing a web scraping project that involves logging into a website, downloading a CSV file, and seamlessly converting it for upload via an API to another platform. The outcomes have been outstanding, showcasing my ability to navigate complex data workflows. My experience also extends to web scraping projects for renowned websites such as Home Depot, Lowe's, HEB, NBA.com, NFL.com, Walmart, and more. I can extract, clean, and transform data effectively to derive meaningful insights. Furthermore, I have undertaken custom SKU creation projects, utilizing advanced query techniques to consolidate data from diverse sources. This enables me to provide comprehensive reports on total inventory, shipping costs, and order requirements. I excel in managing complex datasets and generating actionable insights. My involvement in the Ethereum ecosystem has further honed my skills. I have developed a dashboard using Bootcamp 4 and Django, integrating APIs to gather time-series data for purchases in a metaverse. I have built prediction models for trend analysis by employing statistical learning techniques. I am well-versed in version control with GitHub and have experience with Docker builds for seamless deployment. I am also engaged in a sports betting project, where I employ API integration to gather data from multiple bookies. I ensure accurate transaction identification and USD conversion through data cleaning, sorting, and transformation. Leveraging AWS and Google Cloud infrastructure, I create robust data pipelines that drive trend prediction models. With a proven track record of successfully deploying web applications and leveraging Streamlit, FastAPI, and AWS environments, I am adept at developing solutions tailored to specific business needs.

I build practical AI solutions that actually work in the real world. No buzzwords, no "proprietary algorithms" - just solid systems that solve business problems using the best tools available. What I Actually Do: API Integration & Orchestration - Connecting GPT, Claude, and other AI services into custom workflows Data Pipeline Automation - End-to-end systems that collect, process, and act on data without human intervention Computer Vision Applications - OCR, object detection, video processing for practical use cases RAG Systems - Making chatbots actually useful with your company's real data Web Scraping & Data Collection - Automated research and lead generation pipelines Full-Stack Development - Building complete applications, not just Jupyter notebooks My Approach: I focus on shipping working solutions quickly rather than reinventing the wheel. Why build a language model from scratch when GPT exists? Why write custom computer vision algorithms when proven libraries do the job? Most "AI projects" fail because they're over-engineered. I build systems that are maintainable, scalable, and actually get used by real people. Recent Projects: Video translation app with OCR + voice synthesis Automated startup intelligence pipeline AI-powered sales training platform Meta ads classification system Let's talk about what you're actually trying to accomplish, not what tech stack you think you need.

Currently working as a Machine Learning Developer , making Retrieval-Augmented Generation chatbots for the clients using GPT-4 and GPT-4o-mini .Indulged in Machine Learning field for more than 2 years as of now , that led me to work in prior 2 companies working closely with the clients in projects designing MLOps pipelines as a Tech Engineer and as a Freelancer. SERVICES I OFFER: ✅ Engaging with complex datasets from sources like Kaggle ,AWS Public Datasets and UCI datasets for exploration of essential data science concepts. This process includes data cleaning, exploratory data analysis (EDA), and visualization to extract meaningful insights and train the defined supervised or unsupervised model. ✅ Using Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) in machine learning for handling structured data and image recognition, respectively. Implementing these models requires careful architecture design and optimization through backpropagation to achieve high accuracy. ✅ Creating Continuous Integration/Continuous Deployment (CI/CD) pipeline automating the integration of code changes to ensure efficient deployment to platforms like AWS EC2 and Vercel. Utilizing tools such as GitHub Actions which enhance the workflow efficiency while maintaining code quality. ✅ Building Generative AI chatbots using frameworks like LangChain, which integrates language models into applications. By employing Retrieval-Augmented Generation (RAG) techniques, these chatbots enhance their conversational capabilities with access to external knowledge bases. ✅ Mastering complex Data Structures and Algorithms (DSA) problems is essential for aspiring software engineers and data scientists. Python’s rich libraries and straightforward syntax make it an ideal language for practicing algorithm design and optimization strategies on platforms like LeetCode or GeeksForGeeks. TECH STACK I USE : ☑️ Programming Languages: Python, HTML/CSS, R ☑️ Deep Learning Frameworks/Tools: Tensorflow, Pytorch, Keras, mlxtend, Sklearn, Scipy, Seaborn, matplotlib, pandas, numpy ☑️ Gen AI : LLMs, Retrieval-Augmented Generation , FAISS ☑️ Web Framework: Flask, Streamlit ☑️ Cloud Platforms: AWS, Vercel ☑️ Database Management: SQL,NoSQL ☑️ Development Tools/Paradigms: AWS, Heroku, Git, Github Actions,MLflow, Mlops,CI/CD ☑️ IOT : Raspberry PI, Sensors, Linux Feel free to reach me. Lets get together and build something !

I build custom trading bots, algorithmic trading systems, and blockchain infrastructure for crypto, forex, stocks, futures, and options, along with smart contracts, DeFi protocols, and automated execution that runs faster, cleaner, and more reliably than what you are running today. I lead a 35+ person team focused on trading automation, blockchain development, smart contracts, AI powered execution, and full stack development, trusted by hedge funds, prop trading firms, DeFi protocols, Web3 startups, and independent traders worldwide. If your setup is too slow, too rigid, or breaks when markets move, that is exactly what I fix. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝: 👉 Custom Trading Bots and Algorithmic Trading Systems: Execution engines for crypto, forex, stocks, futures, options, and commodities. Sniper bots, arbitrage bots, grid trading, scalping bots, market making engines, copy trading, signal bots, MEV bots, and fully automated strategies. Python, Node.js, Rust, MQL4/MQL5. Sub 300 ms latency. Solana sniper bots, cross exchange crypto arbitrage, futures scalping, and options execution. 👉 Blockchain and Smart Contract Development: Solidity and Rust smart contracts for Ethereum, Solana, Base, BSC, Polygon, and Arbitrum. Tokens: ERC-20, BEP-20, and SPL with vesting, presale, and tokenomics design. NFT contracts: ERC-721 and ERC-1155 with minting, royalties, and marketplace integration. DeFi protocols: DEXs, AMMs, staking platforms, liquidity management, lending, yield farming, flash loans, and cross-chain bridges. Gas-optimized, audit-ready code built on OpenZeppelin standards, with full test coverage in Hardhat, Foundry, and Anchor, smart contract review and security hardening, and staged testnet-to-mainnet deployment. dApp development end to end: wallet integration (MetaMask, Phantom), Web3.js, Ethers.js, Solana Web3, Chainlink oracles, indexers, and subgraphs, plus AI assisted on-chain monitoring and anomaly detection. 👉 Broker and Exchange Integrations: Direct API integration with Binance, Bybit, KuCoin, Coinbase, Kraken, OKX, MEXC, Hyperliquid, Interactive Brokers (IBKR/TWS), Alpaca, TradeStation, Schwab, OANDA, FXCM, cTrader, DXTrade, Tradovate, and NinjaTrader. REST APIs, WebSocket feeds, and FIX protocol. Low latency order routing, order book parsing, multi broker orchestration, and 24/7 uptime. DEX: Uniswap, Raydium, Jupiter, PumpFun, PancakeSwap, SushiSwap. 👉 MetaTrader and Expert Advisor Development: Custom EAs for MetaTrader 4 and MetaTrader 5 in MQL4/MQL5. Forex trading bots, scalping EAs, news trading bots, hedging systems, and risk management. MT4 and MT5 bridges to external APIs, copy trading systems, and signal services. Full backtesting, optimization, and deployment. 👉 TradingView, PineScript, and Webhook Automation: Custom PineScript indicators and strategies, webhook to broker execution pipelines, and alert based trading systems. TradingView signals connected to any broker or exchange, from alert forwarding to multi leg strategy automation. 👉 AI Enhanced Trading and Quantitative Systems: AI signal processing, pattern recognition, sentiment analysis, technical analysis engines, and adaptive execution. Backtesting with PnL analytics, drawdown tracking, and Sharpe optimization using pandas, NumPy, scikit learn, TensorFlow, backtrader, and vectorbt. Predictive ML models and reinforcement learning execution. Systematic trading, mean reversion, momentum, and trend following. I build the system, you keep the alpha. 👉 Telegram Bots, Discord Bots, and Dashboards: Telegram trading bots with alerts, one click execution, portfolio tracking, and whale watching. Discord bots with signal forwarding, copy trading, and moderation. Web dashboards with live charts, analytics, and multi-exchange views. 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Python, Node.js, Rust, Solidity, JavaScript, TypeScript, MQL4, MQL5, PineScript. 𝐁𝐥𝐨𝐜𝐤𝐜𝐡𝐚𝐢𝐧: Web3.js, Ethers.js, Solana Web3, Anchor, Hardhat, Foundry, Truffle, OpenZeppelin, Chainlink 𝐀𝐈 𝐚𝐧𝐝 𝐌𝐋: TensorFlow, PyTorch, scikit learn, pandas, NumPy, OpenAI API, NLP, LLM 𝐓𝐫𝐚𝐝𝐢𝐧𝐠 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: MetaTrader 4, MetaTrader 5, TradingView, Interactive Brokers TWS, QuantConnect, NinjaTrader, TradeStation, Alpaca, cTrader, MultiCharts 𝐄𝐱𝐜𝐡𝐚𝐧𝐠𝐞 𝐀𝐏𝐈𝐬: Binance, Bybit, KuCoin, Coinbase, Kraken, OKX, Hyperliquid, IBKR, Alpaca, OANDA, FXCM, Schwab, Uniswap, Raydium, PumpFun, Jupiter, CCXT Backtesting: backtrader, vectorbt, Zipline, QuantConnect. 𝐋𝐄𝐀𝐍 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: AWS, Docker, Redis, RabbitMQ, PostgreSQL, MongoDB, WebSockets, Kafka 𝐖𝐡𝐚𝐭 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐇𝐢𝐫𝐞 𝐌𝐞 𝐅𝐨𝐫: Crypto trading bots. Algorithmic trading for forex, stocks, futures, options, and commodities. Expert Advisors for MetaTrader. Smart contracts and DeFi protocols in Solidity and Rust. Token and NFT development. dApp builds and Web3 platform infrastructure. Smart contract review, gas optimization, and security hardening.

I'm a highly skilled data scraping expert with over 4 years of experience delivering successful projects for clients. I specialize in extracting valuable insights from various websites, including Amazon, Flipkart, and eBay. My strengths lie in: Hardworking & Reliable: You can count on me to deliver on time and consistently exceed expectations. Flexible & Communicative: I adapt to your needs and keep you updated on project progress. Minimal Supervision: I take initiative and work independently, while ensuring quality and accuracy. What I Offer: Data Scraping & Extraction: I utilize advanced tools like Parsehub, Octoparse, and Mozenda to efficiently gather data. Data Mining: I unearth valuable trends and patterns from your extracted data. Top-Tier Organization: Deliverables are presented in clear and well-formatted formats (Excel, Word). Seamless Communication: I maintain open communication throughout the project. 100% Satisfaction Guarantee: My goal is your complete satisfaction. Ready to take your data scraping needs to the next level? Let's discuss your project! Skills: Data Scraping (Parsehub, Octoparse, Mozenda, Webscraper.io) Data Extraction Data Mining Amazon Scraping (Product & Seller Data) Flipkart Scraping eBay Scraping Data Entry Microsoft Excel & Word PDF Conversion/Transcription

I have spent 8 years at the intersection of data, AI, and the question nobody wants to ask “does it actually deliver results?” From forecasting systems to LLM pipelines and autonomous multi-agent systems built for real world problems where off-the-shelf solutions fail. The tools change with every project. The bar doesn't. Here is an overview of my Stack 𝗠𝗟 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, CatBoost, statsmodels 𝗟𝗟𝗠𝘀 & 𝗡𝗟𝗣: Open AI, Claude, Gemini, Grok, LLaMA, Mistral, DeepSeek, BERT, BART, SetFit, HuggingFace 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: LangChain, LangGraph, RAG Pipelines, n8n, Make, OpenAI API, Anthropic API, Lovable, OpenClaw 𝗩𝗲𝗰𝘁𝗼𝗿 & 𝗦𝗲𝗮𝗿𝗰𝗵: Pinecone, FAISS, ChromaDB, SentenceTransformers, Embeddings 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: pandas, NumPy, Parquet, Airflow, dbt, ETL Pipelines 𝗔𝗣𝗜𝘀 & 𝗦𝗰𝗿𝗮𝗽𝗶𝗻𝗴: FastAPI, Flask, WebSocket, PRAW, BeautifulSoup, Selenium 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Matplotlib, Seaborn, Plotly, Tableau, PowerBI, SHAP 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮: AWS EC2, SageMaker, AWS Bedrock, Firebase, Docker, VPS 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 & 𝗔𝗽𝗽𝘀: React, Next.js, Streamlit, Gradio, Lovable 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀: Gmail API, Google Calendar API, WhatsApp API, Stripe, PayPal, Odoo You can get a feel for the work pretty quickly. Here's a slice. → 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 • Built a 𝒇𝒖𝒍𝒍-𝒄𝒚𝒄𝒍𝒆 𝑨𝑰 𝒉𝒊𝒓𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 using n8n to orchestrate OpenAI-powered resume parsing with Gmail, Google Sheets, and Calendar APIs reducing 𝐻𝑅 𝑚𝑎𝑛𝑢𝑎𝑙 𝑤𝑜𝑟𝑘𝑙𝑜𝑎𝑑 𝑏𝑦 80% with centralized candidate tracking and automated scheduling. • Developed 𝒂 𝒓𝒆𝒂𝒍-𝒕𝒊𝒎𝒆 𝑨𝑰 𝒗𝒐𝒊𝒄𝒆 𝒂𝒈𝒆𝒏𝒕 supporting voice-to-voice, speech-to-text and text-to-text conversations via FastAPI and WebSocket with ultra low latency using GPT for dialogue management. • Built an 𝑨𝑰 𝒑𝒐𝒘𝒆𝒓𝒆𝒅 𝒕𝒆𝒍𝒆𝒎𝒆𝒅𝒊𝒄𝒊𝒏𝒆 𝒑𝒍𝒂𝒕𝒇𝒐𝒓𝒎 on Next.js and Firebase with role-based AI prompts, automated symptom collection and 𝑟𝑒𝑎𝑙 𝑡𝑖𝑚𝑒 𝑐𝑙𝑖𝑛𝑖𝑐𝑎𝑙 𝑖𝑛𝑠𝑖𝑔ℎ𝑡𝑠 for patient doctor interaction. → 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴 & 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 From pharmaceutical supply chains to crypto markets, I build forecasting systems that drive real inventory, budget and trading decisions. • Built a 3𝑴+ 𝒓𝒆𝒄𝒐𝒓𝒅 𝒑𝒉𝒂𝒓𝒎𝒂 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒔𝒚𝒔𝒕𝒆𝒎 pipeline: XGBoost R²=0.90, 20% accuracy gain, 17-chart EDA uncovering SKU concentration risk and billing-cycle demand patterns • 𝑪𝒓𝒄𝒓𝒚𝒑𝒕𝒐 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒎𝒐𝒅𝒆𝒍𝒔 using ARIMA + Reddit sentiment (PRAW + SetFit) → BUY/SELL/HOLD signals for BTC, ETH, SOL, DOGE • 𝑫𝒆𝒎𝒂𝒏𝒅 𝒇𝒐𝒓𝒆𝒄𝒂𝒔𝒕𝒊𝒏𝒈 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆 (LR, XGBoost, RF, LSTM) achieving R²~0.99 used car price prediction deployed via Flask → 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴 I build classification, regression, and validation systems with rigorous evaluation not just accuracy scores but defensible, 𝒑𝒓𝒐𝒅𝒖𝒄𝒕𝒊𝒐𝒏-𝒓𝒆𝒂𝒅𝒚 𝒎𝒐𝒅𝒆𝒍𝒔. • SVM, Gradient Boosting, MLP, XGBoost, Logistic Regression always with GridSearch and KFold CV for hyperparameter integrity • Diabetes detection: 86% accuracy on 3-class imbalanced clinical dataset with feature engineering and undersampling experiments → 𝗡𝗟𝗣 & 𝗟𝗟𝗠-𝗣𝗼𝘄𝗲𝗿𝗲𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 I combine classical text modeling with modern LLMs to extract structured insight from unstructured data at scale. • Claude 3.5 Sonnet (AWS Bedrock) + BART MNLI + SentenceTransformer pipeline quantifying open ended survey sentiment for fragrance product strategy • Real-time Reddit 𝒔𝒆𝒏𝒕𝒊𝒎𝒆𝒏𝒕 𝒅𝒂𝒔𝒉𝒃𝒐𝒂𝒓𝒅 for ASTS ticker upvote-weighted transformer scoring with daily trend visualization • 𝑻𝒆𝒙𝒕 𝑪𝒍𝒂𝒔𝒔𝒊𝒇𝒊𝒆𝒓 across disaster tweets (TFIDF, 80%), IMDB reviews (LSTM, 86%) and news categorization (CNN + GloVe, 75%) • GPT-4o, Claude, LLaMA, Grok and Mistral used as deliberate data enrichment and annotation tools inside ML pipelines I work with startups building their first AI product, enterprises with complex data problems, and individuals with unique challenges nobody else wants to touch. If the problem is hard and the data is messy that's exactly where I do my best work. Send me a message and let's figure out if I'm the right fit. I will tell you within 24 hours whether I can help and how.

Python Developer specializing in FastAPI, Django, Flask & AI/ML solutions ⭐ Top Rated Plus – Ranked in the Top 1% of Lead Python developers on Upwork ✅ 14+ Years of Senior Python Excellence | 13,000+ Hours Delivered I personally handle all development and client communication, ensuring high-quality, scalable, and secure applications without outsourcing. From MVPs to enterprise SaaS platforms, I transform complex requirements into production-ready systems. I’ve been working with Django (since v0.3), Python (v2.3+), FastAPI, Flask, and React. I specialize in building intelligent systems with AI/ML, NLP, and LLMs. Since 2019, I’ve been leading cross-functional teams globally, while also working individually with clients to deliver clean, scalable solutions. Most of my work has been on production systems already serving real users, where I acted as the technical owner, not just an implementer. 𝗔𝗰𝗵𝗶𝗲𝘃𝗲𝗺𝗲𝗻𝘁𝘀: Contributed to Open edx: Enhanced the global open-source learning platform with Python/Django. KredX Financial Platform: Built APIs & real-time analytics with FastAPI for high-volume transactions. The Entertainer (Python + React): Delivered large-scale consumer app supporting millions of users. Moeving Mobility Platform: Designed scalable Python microservices for real-time fleet management. MTailor: Automated ML pipelines for computer vision body measurements. Surmount.AI: Built AI-powered legal assistant using Django + FastAPI + LLMs. Deflection.AI: Customer support system with Python APIs + vector similarity + NLP. I help startups and enterprises turn ideas into production-ready software. From rapid MVPs to AI-powered platforms, I combine deep technical expertise with hands-on leadership, guiding global cross-functional teams to deliver results on time and at scale. I am a CTO-level Senior Python Developer to lead the technical direction and hands-on development of a scalable, cloud-native platform built on Python and AWS 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: Backend & APIs: Python (FastAPI, Django, Flask), REST, GraphQL, async programming, microservices Databases: PostgreSQL, MySQL, MongoDB, Redis (optimized schemas, queries, and data modeling) AI/ML & Data: LLMs (OpenAI GPT, Whisper), NLP pipelines, TensorFlow, PyTorch, Pandas, NumPy Cloud & DevOps: AWS (Lambda, ECS, RDS, S3), GCP, Azure, Docker, Kubernetes, CI/CD automation Full Stack Collaboration: React, Next.js, Vue.js with secure, Python-driven backends 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗲𝗹𝗶𝘃𝗲𝗿: ✔️ Scalable REST/GraphQL APIs & microservices ✔️ Data pipelines & AI/ML-powered systems ✔️ Cloud-native architectures (AWS/GCP/Azure) ✔️ Secure, tested, and future-proof code (CI/CD) ✔️ MVP-to-enterprise scaling with clear communication 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: Python Developer | Django Expert | FastAPI Developer | Flask Developer | Backend Engineer | API Development | AI/ML Engineer | Chatbot Developer | NLP Specialist | React Developer | SaaS Architecture | Cloud & DevOps | Docker | AWS | Data Pipelines | LLMs | TensorFlow | PyTorch | Web Scraping

🚀 $𝟑𝟎𝟎𝐊+ 𝐄𝐚𝐫𝐧𝐞𝐝 𝐨𝐧 𝐔𝐩𝐰𝐨𝐫𝐤 🏆 𝐓𝐨𝐩 𝟏% 𝐓𝐚𝐥𝐞𝐧𝐭 𝐰𝐢𝐭𝐡 𝟏𝟎𝟎+ 𝐒𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐁𝐚𝐜𝐤𝐞𝐝 𝐛𝐲 𝟏𝟐+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 🚀 𝐐𝐮𝐢𝐜𝐤 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐞 𝐭𝐢𝐦𝐞 𝐰𝐢𝐭𝐡 𝟏𝟎𝟎% 𝐂𝐥𝐢𝐞𝐧𝐭 𝐃𝐞𝐝𝐢𝐜𝐚𝐭𝐢𝐨𝐧 ✅ 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐢𝐧 𝐀𝐈/𝐌𝐋 | 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 | 𝐏𝐲𝐭𝐡𝐨𝐧 | 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 | 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 | 𝐑𝐞𝐚𝐜𝐭.𝐣𝐬 | 𝐌𝐋𝐎𝐩𝐬 ⚡ 𝐎𝐟𝐟𝐞𝐫 𝐅𝐥𝐞𝐱𝐢𝐛𝐥𝐞 𝐖𝐨𝐫𝐤𝐢𝐧𝐠 𝐇𝐨𝐮𝐫𝐬 I help startups, SaaS companies, and enterprises transform ideas into production-ready AI products that deliver measurable business results. Whether it's AI Agents, LLM-powered applications, RAG systems, intelligent automation, enterprise data platforms, or scalable web applications, I build complete, end-to-end solutions from architecture and backend engineering to deployment, optimization, and long-term scalability. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 🧠 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞, 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐏𝐲𝐭𝐡𝐨𝐧 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 ✅𝐏𝐲𝐭𝐡𝐨𝐧 𝐄𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦: NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, OpenCV, BeautifulSoup, FastAPI, Flask, Django ✅𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: PyTorch, TensorFlow, Keras, HuggingFace Transformers ✅𝐀𝐩𝐩𝐥𝐢𝐞𝐝 𝐌𝐋 & 𝐀𝐈: Natural Language Processing (NLP), Computer Vision (CV), IoT Analytics, Robotics AI, Recommender Systems, Predictive Analytics, Time Series Forecasting, Object Detection, Image Segmentation ✅𝐌𝐨𝐝𝐞𝐥 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: LoRA, QLoRA, PEFT, Transfer Learning, RLHF, DPO, SFT, Custom Dataset Fine-Tuning ✅𝐋𝐋𝐌 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: GPT-3.5 / GPT-4 / GPT-4o, Gemini (Gemini 1.5 Pro / Flash), Claude, ChatGPT, DALL-E, Whisper, LangChain, AutoGen, CrewAI, Amazon Bedrock, Ollama, Google Vertex AI 🤖 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬 CrewAI, AutoGen, Amazon Polly, Deepgram, Rasa AI, Azure AI Speech, Riverside SDK 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐀𝐠𝐞𝐧𝐭 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: AutoGPT, BabyAGI, LangChain Agents, AutoGen Agents 🧩 𝐋𝐋𝐌 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐑𝐀𝐆 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 ✅𝐏𝐫𝐨𝐦𝐩𝐭 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: Multi-Turn Prompts, Few-Shot Learning, Zero-Shot Learning, Chain-of-Thought (CoT), Advanced Prompt Optimization ✅𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞 𝐋𝐋𝐌𝐬: LLaMA 3, Mistral 7B, Mixtral 8×7B, Falcon, Gemma, Bloom, Orca Mini, Guanaco ✅𝐑𝐀𝐆 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬: LangChain, LlamaIndex, Pinecone, FAISS, ChromaDB, Qdrant, Weaviate, Milvus ✅𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: Vector Databases, Semantic Search, Document Indexing, Knowledge Retrieval Systems ✅𝐋𝐋𝐌 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 & 𝐅𝐢𝐧𝐞-𝐓𝐮𝐧𝐢𝐧𝐠: Unsloth, Axolotl, HuggingFace AutoTrain, SageMaker Training ✅𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: vLLM, TGI, TensorRT-LLM, SKPilot ✅𝐐𝐮𝐚𝐧𝐭𝐢𝐳𝐚𝐭𝐢𝐨𝐧: AWQ, GPTQ, GGUF, GGML, PTQ, DQ ⚙️𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 ✅𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: FastAPI, Flask, Django, Supabase ✅𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 & 𝐖𝐞𝐛 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: React.js, Next.js ✅𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 & 𝐃𝐞𝐯𝐎𝐩𝐬: Docker, Kubernetes, Redis, Nginx, Linux (Ubuntu, CentOS), CI/CD ✅ 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: AWS (EC2, Lambda, S3, API Gateway, Cognito, ECS/Fargate, RDS, DynamoDB), Microsoft Azure (Azure OpenAI, Azure Functions, Azure AI Services, Azure Storage, Azure Logic Apps, Azure Data Factory), Google Cloud Platform, RunPod, Vercel AI SDK 🤖 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 ✅ 𝐀𝐈 𝐓𝐨𝐨𝐥𝐬 & 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: OpenAI, Claude, Gemini, Azure OpenAI, RunwayML, MidJourney, Stability AI ✅ 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: n8n, Make (Integromat), Zapier, Microsoft Power Automate, Azure Logic Apps, Synthflow ✅ 𝐂𝐑𝐌 & 𝐒𝐚𝐚𝐒 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬: HubSpot, Dynamics 365, Pipedrive, Zoho CRM, GoHighLevel, ClickUp, Monday, Airtable ✅𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐀𝐈 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬: AI Agents, Multi-Agent Systems, AI Workflow Orchestration, Robotic Process Automation (RPA), IoT Automation, Edge AI Automation ✅𝐌𝐮𝐥𝐭𝐢-𝐌𝐨𝐝𝐚𝐥 𝐀𝐈: Text-to-Video, Image-to-Text, Speech-to-Image 🗄️ 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 & 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 ✅SQL & NoSQL Databases: PostgreSQL, MySQL, SQL Server, MongoDB, Supabase, Airtable, DynamoDB ✅𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞: Enterprise Data Engineering, ETL/ELT Pipelines, Data Integration, Data Warehousing, Data Modeling, SQL Server, PostgreSQL, Star Schema, Dashboard Development, KPI Reporting, Data Visualization, Real-Time Analytics, ✅ 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐏𝐨𝐰𝐞𝐫 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦: Power Automate, Power Apps, Power BI, Microsoft Copilot Studio ✔ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐨𝐧: I drive projects with Agile principles, using Scrum and sprint cycles to ensure fast, efficient, and high-quality delivery. 💬 𝐋𝐞𝐭’𝐬 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 I’m responsive, proactive, and always ready to dive into new ideas. Drop me a message, and let’s build something impactful together.