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 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.

With 5+ years of hands-on experience in algorithmic trading and quantitative analysis, I combine deep financial knowledge with advanced Python programming to deliver high-performance trading solutions for both retail and institutional clients. My core expertise: Custom Indicator & Signal Development: Advanced technical and price action indicators, tailored for equity, derivatives, and options strategies. Strategy Backtesting & Optimization: Robust historical testing using 15+ years of Nifty/BankNifty data (1m/5m/15m), with detailed performance analytics, slippage modeling, and walk-forward validation. Live Algo Implementation: End-to-end deployment of automated trading systems, integrating APIs (AngelOne, Zerodha, IBKR), real-time data feeds, and broker connectivity. Trading Dashboard & Analytics: Interactive dashboards and monitoring tools for real-time risk, P&L, and trade management, built with Streamlit, Dash, and Excel automation. Data Engineering & Automation: Efficient data pipelines for ETL, market data ingestion, and storage using Pandas, SQL, and modern cloud stacks. As an active trader myself, I understand the real-world challenges of execution, risk, and psychology. Tech Stack: Python, Pandas, NumPy, Matplotlib, Plotly, Vectorbtpro, Redis, Docker, REST APIs. Previous projects include: Multi-strategy backtesting platforms for equities and options Automated execution bots (intraday, swing, and positional) Custom option chain analyzers and strategy builders Real-time market scanners and alerting systems Let’s collaborate to transform your trading ideas into actionable, automated solutions. Message me to discuss your project or see code samples!

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

👋 Hey, I am Harsh Vardhan Mishra, a senior AI and Machine Learning expert with over 8 years of industry experience delivering scalable, production-grade solutions across domains like NLP, Computer Vision, LLMs, Predictive Analytics and Chatbot Development. I help startups and enterprises turn data into intelligence through custom AI solutions that integrate seamlessly with existing systems. I can assist you with: 🔹 LLMs & Generative AI → Custom integration with GPT-4, Claude, Llama 2 for smart chatbots, document parsing & AI agents → Knowledge base assistants with LangChain and RAG pipelines → Automations for content generation, summarization and QA bots 🔹 NLP & Machine Learning → Sentiment analysis, multilingual translation & semantic search → Predictive models for user behavior, fraud detection and forecasting → Advanced Computer Vision: object detection, OCR, quality inspection 🔹Computer Vision Solutions: • Image classification, object detection (YOLO, Detectron2) • OCR, document processing, and real-time video analytics • Quality control and defect detection in manufacturing datasets 🔹AI-Powered Chatbots & Assistants: → Custom chatbot development using GPT and open-source LLMs → Intent recognition, dialogue management, and contextual memory → Deployment with tools like Rasa, LangChain, FastAPI and WebSockets 🔹Backend Engineering with Python: → RESTful APIs and microservices using FastAPI, Flask, Django → Asynchronous pipelines with Celery, Redis, RabbitMQ → CI/CD workflows with Docker, Kubernetes and GitHub Actions → Cloud-native deployments on AWS, GCP, Azure and serverless platforms 🔹Tools & Platforms I Work With Daily: → ML Frameworks: PyTorch, TensorFlow, Scikit-learn, HuggingFace → Data Tools: Pandas, NumPy, Dask, Spark → LLM Ops: LangChain, Weaviate, Pinecone, FAISS → Cloud ML: AWS SageMaker, GCP Vertex AI, Azure ML Studio I specialize in helping clients who: • Have an AI/ML prototype but need help scaling it • Need to integrate intelligent features into an existing app • Want to modernize legacy Python code or optimize slow ML pipelines • Are building from scratch and want expert guidance from day one Whether you are looking to build a custom AI solution, analyze large datasets, create a smart assistant or integrate AI into your existing platform, I bring a deep technical foundation and a problem-solving mindset to every project. 📩 Let’s talk about your project. Whether it’s a chatbot, predictive model or full-scale AI system, I will help you build something your users love and your team can rely on. Best Regards, Harsh Vardhan Mishra

I am an expert AI engineer who has: - Delivered 30+ Scalable SaaS products - Achieved 100% JSS & Top Rated Plus (3% Globally) - 2000+ Development Hours I am a Sr AI engineer and spent the last 10 years helping startups and enterprises move beyond buzzwords into real outcomes, launching AI assistants that save doctors 6+ hours a week, scaling fintech systems that cut fraud rates by 75%, and building agritech platforms used on 20M+ acres. My goal is simple: cut through the hype, design practical AI solutions that actually work, and deliver them on time, on budget, and with zero surprises. 𝐇𝐞𝐫𝐞’𝐬 𝐰𝐡𝐚𝐭 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐞𝐱𝐩𝐞𝐜𝐭 𝐟𝐫𝐨𝐦 𝐦𝐞: Zero surprises → Every milestone, deliverable, and cost is defined upfront. On-time, on-budget delivery → 90%+ track record of delivering exactly what I scope. Fast response times → I reply within 30 minutes during working hours. End-to-end ownership → From concept to deployment, I handle the full lifecycle. Business-first approach → I’ll challenge you with data-driven insights to keep your product on track. 𝐖𝐡𝐚𝐭 𝐰𝐞 𝐜𝐚𝐧 𝐛𝐮𝐢𝐥𝐝 𝐭𝐨𝐠𝐞𝐭𝐡𝐞𝐫: ✅ AI assistants, chatbots, and voice engines tailored to your workflows ✅ Full-stack web & mobile apps (MVPs or enterprise-grade solutions) ✅ Advanced RAG systems powered by your private data ✅ Scalable cloud deployments (AWS, GCP, Azure, Kubernetes, Docker) ✅ Automation pipelines (ETL, workflow orchestration, API integrations) ✅ Analytics dashboards, investor decks, and data-driven product roadmaps 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐚 𝐟𝐞𝐰 𝐨𝐟 𝐦𝐲 𝐟𝐚𝐯𝐨𝐫𝐢𝐭𝐞 𝐥𝐢𝐧𝐞𝐬 𝐟𝐫𝐨𝐦 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐈’𝐯𝐞 𝐰𝐨𝐫𝐤𝐞𝐝 𝐰𝐢𝐭𝐡: “Not my first project with Ali Akber and definitely not my last. He always delivers exactly what’s needed and goes the extra mile to get it right.” ⭐️⭐️⭐️⭐️⭐️ – Eric Armas, USA “Simply put, one of the best engineers I’ve ever worked with.” ⭐️⭐️⭐️⭐️⭐️ – Seongbuk-gu, South Korea "Ali and his team are outstanding. They have done a meticulous job into doing the most complex and technical onset of works for Gigafaze" ⭐️⭐️⭐️⭐️⭐️ – Max, CEO of Gigafaze, USA "Worked quickly and according to scope. When was not what i expected, it was quickly rectified" ⭐️⭐️⭐️⭐️⭐️ – Bin Zheng, CEO of AI Startup 𝗖𝗹𝗶𝗲𝗻𝘁 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 ✔️𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 Time by DRH → Cut clinical note-taking time by 60%, saving doctors 5–7 hrs/week. Care by DRH → HIPAA Q&A assistant reducing patient follow-ups by 40%. ✔️𝐈𝐝𝐞𝐧𝐭𝐢𝐭𝐲 & 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐯𝐞𝐫𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 Facia AI → Real-time biometric ID verification, cutting fraud by 75% across 100k+ users. AssureDocs → Automated immigration document checks, saving 500+ staff hours/month. ✔️ 𝐅𝐢𝐧𝐭𝐞𝐜𝐡 FinSurgents → Fraud detection on 50M+ accounts, boosting risk accuracy by 35%. ✔️𝐓𝐫𝐚𝐯𝐞𝐥 / 𝐄𝐝𝐓𝐞𝐜𝐡 / 𝐋𝐨𝐠𝐢𝐬𝐭𝐢𝐜𝐬 MindTrip AI → 90% accurate travel assistant, reducing support load. Tadbir Academy → Serving 10k+ students, lifted test scores by 45%. GH Logistics → AI dashboards cut delays by 25%, improve fleet efficiency. 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 & 𝗦𝗸𝗶𝗹𝗹𝘀: 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 & 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: Python, R, JavaScript, TypeScript, Java, C++, C#, Swift, Kotlin, Django, FastAPI, Flask, Node.js, Express.js, React, Next.js, Angular, React Native, Streamlit 𝐀𝐈 & 𝐋𝐋𝐌 𝐓𝐨𝐨𝐥𝐬: OpenAI, Anthropic, Mistral, LLaMA 3, Hugging Face Transformers, LangChain, LangGraph, LlamaIndex, MCP, ElevenLabs, AutoGPT, Autogen, RAG Pipelines, Agentic AI, Prompt Engineering, Vector Databases 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐂𝐕/𝐍𝐋𝐏: PyTorch, TensorFlow, Keras, Scikit-learn, OpenCV, NLTK, SpaCy, NeuralProphet, LoRA/PEFT, CNNs, GANs, LSTMs, Bayesian Models, OCR, Deepfake Detection, Image Segmentation, STT & TTS 𝐃𝐚𝐭𝐚 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬: PostgreSQL, MySQL, SQL Server, MongoDB, Redis, Elasticsearch, BigQuery, Databricks, Pandas, Numpy, Geopandas, Rasterio, ETL Pipelines, Airflow, Tableau, Power BI 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬 & 𝐀𝐏𝐈𝐬: REST & GraphQL APIs, OAuth2, Firebase, Stripe, PayPal, HubSpot, Salesforce, ERPs, Slack, MS Teams, Zapier, Make, Webhooks 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: AWS (Lambda, SageMaker, API Gateway), Azure, GCP, Docker, Kubernetes, Terraform, CI/CD, Serverless Architectures, Microservices 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐌𝐋𝐎𝐩𝐬: Model Training & Deployment, Experiment Tracking, Dataset Versioning, Error Logging, Monitoring, Automated Testing, Workflow Orchestration Let’s connect to transform your ideas into 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝, 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐫𝐞𝐚𝐝𝐲 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬. I focus on real business impact with clear communication and on-time delivery. Reach out and let’s get started! 🤝

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!

𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗦𝗶𝗴𝗻𝗮𝗹 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 | 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 | 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 & 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗜 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 (𝗦𝗧𝗧/𝗧𝗧𝗦 + 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗮𝗴𝗲𝗻𝘁𝘀) | 𝗪𝗲𝗯𝗥𝗧𝗖/𝗟𝗶𝘃𝗲𝗞𝗶𝘁 | 𝗦𝗜𝗣/𝗩𝗼𝗜𝗣 (𝗧𝘄𝗶𝗹𝗶𝗼/𝗔𝘀𝘁𝗲𝗿𝗶𝘀𝗸) I build 𝘃𝗼𝗶𝗰𝗲 𝗮𝗴𝗲𝗻𝘁𝘀 and 𝗹𝗼𝘄-𝗹𝗮𝘁𝗲𝗻𝗰𝘆 𝗮𝘂𝗱𝗶𝗼/𝘃𝗶𝗱𝗲𝗼 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 that actually hold up on real calls, in production, under load. If you're fighting latency, 𝗰𝗮𝗹𝗹 𝗱𝗿𝗼𝗽𝘀, 𝗡𝗔𝗧/𝗧𝗨𝗥𝗡 𝗶𝘀𝘀𝘂𝗲𝘀, 𝗿𝗼𝗯𝗼𝘁𝗶𝗰 𝘁𝘂𝗿𝗻-𝘁𝗮𝗸𝗶𝗻𝗴, 𝗿𝗲𝗰𝗼𝗿𝗱𝗶𝗻𝗴 𝗳𝗮𝗶𝗹𝘂𝗿𝗲𝘀 or a 𝘃𝗼𝗶𝗰𝗲 𝗮𝗴𝗲𝗻𝘁 that breaks the moment a real customer interrupts it, I can take it end-to-end and ship something stable. I focus on what client's measure, response latency, barge-in handling, RTT, jitter, packet loss, concurrency and cost per call. 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘀𝘁𝗿𝗲𝗻𝗴𝘁𝗵𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: Python, NumPy, SciPy, Pandas, Scikit-learn ML model development + evaluation Audio/signal processing pipelines Feature engineering + algorithm optimization Distributed computing concepts Real-time data handling & automation 𝗪𝗵𝗮𝘁 𝗜 𝗯𝗿𝗶𝗻𝗴 𝘁𝗼 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝘁𝗲𝗮𝗺𝘀: Research-backed algorithm design Strong mathematical and analytical foundation Production-aware AI/ML integration System-level thinking (latency, throughput, scalability) Clear documentation and reproducible workflows 𝗖𝗼𝗿𝗲 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 (𝗦𝘂𝗺𝗺𝗮𝗿𝘆): WebRTC / LiveKit Engineering SFU scaling strategies, TURN/STUN configuration, ICE tuning Optimizing jitter, packet loss, simulcast/SVC, bitrate adaptation Debugging join failures, audio/video inconsistencies, device issues 𝗠𝗲𝗱𝗶𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: FFmpeg and OBS workflows for ingest → process → record → distribute Reliable multi-track recording and egress configurations Low-latency transcoding and optimized CPU/GPU usage 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 & 𝟯𝗗 𝗦𝘁𝗿𝗲𝗮𝗺𝗶𝗻𝗴: Unity, Unreal and Omniverse real-time streaming setups Digital twin + avatar pipelines with synchronized audio/video Ultra-low-latency input → render → stream loops 𝗔𝗜/𝗠𝗟 & 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: Real-time OCR, text extraction, scene understanding Background removal, segmentation, enhancement Avatar/lip-sync triggers, real-time CV analytics ML inference integrated into WebRTC with strict latency control 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Dockerized deployments, environment separation Monitoring (jitter, RTT, CPU/mem, packet loss, TURN usage) Alerting, runbooks, load testing, failure-mode analysis 𝗖𝗼𝗿𝗲 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: WebRTC / LiveKit Engineering Media Pipelines Interactive & 3D Streaming AI/ML & Computer Vision DevOps & Observability 𝗠𝘆 𝗺𝗶𝘀𝘀𝗶𝗼𝗻: To create next-generation communication systems by merging AI/ML, signal processing and automation and to invent efficient algorithmic approaches that solve complex real-world challenges. Need a solid solution? Drop a text anytime

👋 Looking for a powerhouse full-stack engineer who can bridge Python-based AI innovation with Java-backed enterprise performance? I bring 25+ years of professional full stack software development experience-combining backend architecture, enterprise Java systems, AI/ML engineering, and modern frontend frameworks into scalable, data-rich applications for finance, healthcare, retail, manufacturing, and government sectors. With over 100 full-stack systems delivered, I've built mission-critical platforms and real-time analytics engines handling millions of events per day, while reducing operational costs by up to 65% through infrastructure optimization. 🏆 Why Work With Me? ✔️ 25+ years of enterprise-grade software development ✔️ 40+ Python projects using AI/ML for analytics, automation, and computer vision ✔️ 60+ Java systems modernized to Spring Boot, AWS & microservices ✔️ Built backend systems serving 10M+ users monthly ✔️ AI-based fraud detection systems with 98%+ accuracy ✔️ Scaled apps to handle 1M+ real-time events/second using Kafka, EventBridge, and Spark ✔️ Healthcare-grade imaging tools for tumor classification (TensorFlow + OpenCV) ✔️ 50+ legacy migrations from J2EE/Struts to microservices ✔️ Deployed full-stack apps across 20+ industries, including fintech, eCommerce, telecom, and eLearning ✔️ CI/CD pipelines & Dockerized monorepos for faster dev cycles and better team velocity 🧠 Tech Stack & Core Skills 🖥️ Languages: Python, Java, TypeScript, JavaScript, HTML5, CSS3, SQL, Shell Scripting 🧠 Python AI/ML & Automation: TensorFlow, PyTorch, OpenCV, Scikit-learn, NumPy, Pandas, Matplotlib AI Workflows | Computer Vision | Predictive Analytics | Data Pipelines | Image Recognition | Fraud Detection Automation using Python + Selenium, BeautifulSoup, Scrapy ☕ Java Enterprise Stack: Spring Boot, Spring Cloud, Hibernate, Akka, Play, Grails Java Microservices | RESTful APIs | SOAP | JMS | JPA | Quartz | Lombok Legacy Refactoring | J2EE → Spring Boot | Tomcat | WildFly | WebLogic 📊 Frontend (Full-stack Scope): Angular.js, Vue.js, React.js, Next.js, Svelte Tailwind, Bootstrap, Material-UI | JSP | Thymeleaf | JSF | EJS SPA Development | SSR/ISR | Responsive UI | Webpack, Vite, Gulp 📦 DevOps & Cloud: Docker, Kubernetes, AWS (Lambda, SageMaker, EC2, S3, Kinesis, RDS), GCP, Azure CI/CD: Jenkins, GitLab CI, Travis, Ansible, Terraform Infrastructure as Code | Monitoring | Cost Optimization 📚 Data & Databases: PostgreSQL, MySQL, Oracle, MSSQL, SQLite, MongoDB, Cassandra, Dynamo DB Elasticsearch, Redis, Kafka, RabbitMQ, GraphQL, REST APIs 📌 Python & AI-Focused Solutions 🔹 AI-Based Automation for Workflow Optimization 🔹 Real-Time Object Recognition & Computer Vision Systems 🔹 Predictive Analytics for Retail, Logistics, and Healthcare 🔹 NLP Chatbots and Intelligent Assistants 🔹 Data Crawlers & Scrapers for eCommerce & SEO 🔹 Data Normalization Pipelines Handling 1TB+ Datasets 📌 Java & Enterprise Software Development 🔹 Full-stack Java + Angular/Vue platforms 🔹 Spring Boot Microservices for Finance, Healthcare, SaaS 🔹 Event-Driven Architectures with Kafka & Redis 🔹 Secure Auth (JWT, OAuth2, LDAP, SSO, 2FA) 🔹 Migrating Monoliths to Microservices (Cloud-Native Refactors) 🔹 Server-Side Java with JSP, JSF, and Servlet APIs 📌 Full-stack Projects Built from Scratch 🔹 Inventory Management System (Java + Vue + AWS) 🔹 Medical Diagnosis Dashboard (Python + Django + React) 🔹 Financial Fraud Detection Engine (PyTorch + Kafka) 🔹 Real Estate Listing Platform (Flask + Angular + PostgreSQL) 🔹 ERP Extensions for Manufacturing (Spring Boot + Thymeleaf) 💬 Results That Matter ✅ Built an AI-based inventory forecasting engine reducing stock outs by 42% ✅ Scaled a Java backend to handle 5M+ daily requests for a logistics app ✅ Migrated 3 legacy apps to AWS with 65% infra cost reduction ✅ Automated scraping workflows gathering 10M+ data points weekly ✅ Designed OCR pipeline (Python + Tesseract) for medical record digitization ✅ Delivered HIPAA-compliant image analysis tools with 95%+ detection accuracy ✅ Cut fraud risk 75% for fintech app using real-time anomaly detection 💼 Industries Served 🏥 Healthcare & Diagnostics 💳 Fintech & Insurance 🛍️ eCommerce & Dropshipping 🏗️ Manufacturing & Supply Chain 📚 EdTech & LMS Platforms 🛰️ Gov & Aerospace (including secure environments) 🏢 Enterprise SaaS & Internal Tools Let’s build the next enterprise success story together. 💬 Message me to discuss your backend, AI/ML, or full-stack project! 🧩 Let’s Build Something Powerful If you’re seeking a seasoned backend + full-stack expert who can turn complex business logic into reliable, scalable, and secure digital solutions - I’m your guy. ----------------------

AI-powered SaaS for founders and teams: LLM and RAG features built into full-stack products where they drive real ROI, not bolted-on demos. Python/React, MVP to enterprise, 100% job success on Upwork. I act as your fractional engineering lead for AI SaaS, finding where AI actually pays off and shipping it with senior depth. What I deliver: - AI-powered SaaS: LLM features, RAG pipelines, and memory workflows integrated into Python/Django/FastAPI backends. - Full-stack product engineering: React/Next.js front ends, multi-tenant architecture, APIs, and analytics dashboards. - Data and automation: ETL pipelines and integrations that feed clean data into your AI. - Cloud-native, secure deployments on AWS and GCP. Selected work: - DignifyX: an AI sales-training platform that scores live conversations and returns structured, actionable feedback. - IAB Advisor: AI built into a financial-advisory platform with subscriptions, multi-language, and real-time updates. - Property Management SaaS: a multi-tenant B2B platform built for scale. I lead delivery with a vetted CodeFulcrum team (Top Rated Plus) behind me, so it holds past a single contractor. Stack: Python, Django, FastAPI, LangChain, RAG, Vector DBs, OpenAI, Claude, React, Next.js, TypeScript, Node.js, PostgreSQL, AWS, GCP. Tell me what you're building and I'll come back with how I'd architect it, no charge.