I build production iOS apps for founders who need an engineer that thinks about the product, not just the ticket. Most of my clients are early-stage founders or small product teams who have either a half-built app they need to finish, or a clear idea they want turned into something shippable. I own the full execution: architecture, data layer, AI integration, App Store submission. What I bring to a project: — 12 published apps across iOS, macOS, and watchOS — Deep experience with SwiftUI, SwiftData, HealthKit, CloudKit, WatchConnectivity, and on-device AI — RevenueCat and StoreKit 2 for monetization — OpenAI and Apple Intelligence integration — Clean, maintainable code you can hand off to a team later I work best with founders who want a technical partner, not someone who just closes tickets. If you need someone to think through architecture decisions, push back on bad ideas, and ship fast — that's what I do. Currently studying AI Engineering at Stanford (2024–2027). If you have an iOS product to build or a stuck codebase to rescue, let's talk.

I am a Senior AI Engineer specializing in building production-ready Generative AI solutions that drive business growth. From custom LLM architectures and RAG pipelines to intelligent automation, I help businesses transform complex data into actionable intelligence using state-of-the-art AI technologies. Specialized Technical Stack - Custom LLM/SLM Development: Building and architecting Large and Small Language Models tailored for specific business logic. - Fine-tuning: Expertise in optimizing LLMs and SLMs (LoRA, QLoRA) for niche domain performance. - Reinforcement Learning: Implementing DPO, GRPO, RLHF, and DQN to align models with human preferences and complex decision-making. - Workflow Orchestration: Managing long-running, reliable AI workflows using Temporal. - MLOps Ecosystem: Production lifecycle management with MLflow, Weights & Biases, Prefect, Kubeflow, and SageMaker. - Vector Databases & RAG: High-performance retrieval using Pinecone, PGVector, FAISS, Chroma, and MongoDB Atlas. - Agentic Frameworks: Building complex reasoning chains with LangChain and LlamaIndex. - Advanced AI Solutions: Custom NLP, Recommendation Systems (with RL), and Time Series Forecasting. - Voice Intelligence: Deploying real-time Voice Agents using LiveKit, Retell, and Vapi. - No-Code Automations: Rapid integration and workflow connecting via N8N and Make. - Deep Learning Frameworks: Expert-level development in TensorFlow and PyTorch. Core Expertise -Generative AI & LLM Development I design and deploy sophisticated AI systems using OpenAI (GPT-4), Llama 3, and Anthropic Claude. My focus is on creating high-performance applications that utilize fine-tuning, advanced embeddings, and the LangChain framework to deliver human-like reasoning and precision. -RAG Pipelines & Vector Databases I specialize in Retrieval-Augmented Generation (RAG) to eliminate AI hallucinations. I have extensive experience with Pinecone, Chroma, and FAISS, ensuring your AI has real-time access to your proprietary data with high retrieval accuracy. -AI Agents & Workflow Automation Beyond simple chatbots, I build autonomous AI Agents capable of using tools, executing code via CodeInterpreter API, and managing complex multi-step tasks to automate your business operations. Technical Proficiency AI and Machine Learning - LLMs: OpenAI GPT-4o, Llama 3, Groq, Mistral, Gemini - Frameworks: LangChain, LlamaIndex, LangServe, LangSmith - Vector Databases: Pinecone, ChromaDB, FAISS, Qdrant - Specialized Tools: Flowise AI, LangFlow, HuggingFace Transformers - Machine Learning: TensorFlow, Keras, PyTorch Data Engineering & OCR - Processing: Pandas, NumPy, Matplotlib, Seaborn - Web Scraping: Python, BeautifulSoup4, Selenium - Document Intelligence: OCR (Google Vision API, Pytesseract), PDF Extraction (pdfminer, fitz, tabula) Cloud & Deployment - Platforms: AWS (Sagemaker, Lambda), Google Cloud (Vertex AI), Azure, Heroku - Infrastructure: Node.js, Express.js, MongoDB, MySQL, Git, Docker Why me? - Strategic Solution Architecting: I don’t just write code; I build scalable architectures. I focus on cost-effective token management and low-latency responses to ensure your project is commercially viable and reliable. - Transparent and Proactive Communication: I provide regular updates, documentation, and strategic insights. My goal is a long-term partnership where I act as your technical thought partner, helping you stay ahead of the rapid AI curve. - Flexible and Result-Driven: I am available for full-time commitment and offer discounted rates for non-profit organizations and the education sector. I work within your specific budget and timeline to deliver high-ROI results. Are you ready to build a production-grade AI solution? Click the "Invite to Job" button or send a message to discuss your project requirements and how we can achieve your business goals.

I build production AI agents, RAG systems, and LLM chatbots in Python, plus the n8n automations that wire them into real operations. OpenAI, Claude, LangChain, Pinecone, FastAPI. Shipped as working products, not demos. Most AI projects die between the demo and the deploy: no cost guardrails, the wrong vector store, a RAG pipeline that retrieves the right document and cites the wrong page. My job is the unglamorous part evals, guardrails, latency and cost budgets so the system still works in month three. 8+ years across full-stack and AI/ML. 100% Job Success, backed by Provis Technologies, a Top 1% Expert-Vetted Upwork agency with 8,000+ agency hours. What I build: ✅ AI agents & multi-agent workflows: LangChain/LangGraph, tool use, human-in-the-loop ✅ RAG pipelines & semantic search: Pinecone, FAISS, ChromaDB; chunking and evals for citation accuracy ✅ AI chatbots & copilots: support, sales, and ops; web, WhatsApp, Slack ✅ Workflow automation: n8n (plus Make/Zapier) with AI in the decision loop ✅ LLM integration & fine-tuning: OpenAI, Claude, LLaMA, Mistral ✅ Python backends & APIs: FastAPI, Flask, Django; Docker, AWS ✅ AI SaaS platforms & MVPs: React/Next.js front to deployed product ✅ Cost & latency engineering: token budgets, caching, model routing A note on my Upwork history: the early jobs you'll see are full-stack (WordPress), that's the foundation. The AI work ships through Provis Technologies and is in my portfolio below: - VizDeal AI property platform: PDF ingestion via AWS Textract, intelligent scoring, price forecasting - Discrimination Claims Navigator production AI legal tool (OpenAI + Python + Docker), ~86% cheaper than a lawyer - TrueWholesale AI-powered B2B SaaS: 200% sales lift, 40% fewer stock errors Why clients work with me: 1. I build for business outcomes and ROI, not experiments 2. Production-ready, API-driven architecture with cost and latency in mind 3. I flag risks early and suggest the cheaper, more reliable path 4. End-to-end ownership: architecture to deployment Tech: Python, FastAPI, OpenAI, Claude, LLaMA, LangChain, RAG, Pinecone, FAISS, ChromaDB, n8n, PyTorch, React, Next.js, Node.js, Docker, AWS Send me your use case and I'll map the fastest path to a production-ready solution, clear scope and a timeline within a day.

Hello, I am a Python developer. I graduated with a bachelor of engineering in computer engineering. As an individual with a strong background in Python programming, I possess various skills that make me an ideal candidate for multiple projects. I have extensive experience with libraries such as Pandas and NumPy for data manipulation and analysis and proficiency in HTML, SQL, and database management. Additionally, I have expertise in web scraping using the Scrapy framework.

I'm a Python and C++ developer with 18 years of experience. I can efficiently handle a wide variety of tasks in data science, machine learning, software architecture and debugging, and more. I'm good at writing, and always prioritize clear communication in my work. I've recently worked on a project where I developed and optimized an OpenCV+YOLO object detection pipeline in C++ on multiple real-time video streams, which is currently in production at several customer sites. I'm particularly interested in speech and audio processing, and have worked on many projects in this domain. After graduating with a dual Bachelor's Degree in 2004, I was the lead developer of a product for distributed entity resolution and name matching at a Washington, DC area contractor for 6 years. Starting with an existing prototype and legacy C++ libraries, I combined Python and C++ to create a high-performance, distributed tool for use by data analysts. I documented the code and created automated tests, then trained several new developers who joined the team. I wrote our user documentation, and after our first release to customers, I worked with them closely to add new features and fix bugs. In writing and maintaining a high-performance distributed application I became proficient with the POSIX API including threading, the file system, and networking. Since leaving this contractor, I have been developing my own software product for foreign language learning. It takes user input from the microphone, and uses machine learning to present appropriate study material. The product is still in development. The prototype uses Python with NumPy, SciPy, Matplotlib, and Torch, and I have become proficient in using these tools to process and explore data and develop machine learning models. I also developed a speech corpus from public domain data, aligned the transcriptions with the audio using Kaldi, and extracted spectral features to be used in my speech processing pipeline. My dual Bachelor's is in Computer Science, and International Languages and Cultures - French. I studied computer science in Bordeaux, France for one semester and speak and write French fluently. My native language is American English. I also studied Chinese for 2 years in college, and taught English in China for one year after graduation. I speak Mandarin fluently and read and write Chinese. I have done professional translation work from both French and Chinese to English, including a translation of Xu Dan's book titled Introduction to Chinese Syntax, published by l'Asiathèque. I have done editing and translation work for Xu Dan and other linguists on many projects over the past 18 years. In both this and my software development work, I take pride in producing high-quality work.

Are you spending hours on manual data entry, repetitive Excel workflows, or complex reporting? I can help you automate those processes and integrate cutting-edge AI into your business. I am a Python Developer focused on data automation, advanced analytics, and AI-assisted business solutions. I help businesses transform slow, manual workflows into reliable, lightning-fast applications that process large datasets, generate insights, and support data-driven decision-making. What I Do Best (Proven Results): Instead of just writing scripts, I deliver complete, ready-to-use solutions. In my recent projects, I have: • Engineered robust data pipelines that automatically clean, transform, and analyze massive datasets. • Reduced daily manual reporting and data processing workflows from several hours to approximately two minutes. • Developed automated analytical scanners that calculate complex business metrics and generate visual reports (Charts, PDFs, Excel). • Packaged complete workflows into user-friendly, portable Windows desktop applications (.exe) that require absolutely no installation for the end-user. • Supported scheduled, overnight cloud processing for uninterrupted business operations. AI & LLM Capabilities (High-Demand): I leverage modern Generative AI to take business automation to the next level: • LLM Integration: Connecting business applications with Large Language Models via API (OpenAI, Anthropic, open-source models). • RAG (Retrieval-Augmented Generation): Building smart systems that allow you to "chat" with your own documents, CSVs, and databases securely. • AI Workflows: Automating text processing, data extraction from unstructured documents, and intelligent report generation. • Prompt Engineering: Optimizing AI requests for accuracy, speed, and cost-efficiency. My Core Technical Stack: • Languages & Version Control: Python, OOP, Git • AI & Machine Learning: LLM APIs, RAG concepts, scikit-learn • Data Processing: pandas, NumPy, openpyxl, Data Cleaning, Statistics • Visualization: matplotlib, Automated Dashboard Generation • Development & Deployment: Tkinter (Desktop GUI), FastAPI, REST APIs, PostgreSQL, Docker How I Can Help Your Business: • Automate complex Excel/CSV workflows and data migrations. • Build custom Python scripts, API connections, or standalone desktop/web applications. • Clean and transform messy data into structured, actionable formats. • Integrate LLMs into your existing tools to automate data summarization or text generation. • Improve, scale, or debug your existing Python infrastructure. I focus on practical solutions, clean code, and clear communication. Whether you need a simple automation script to save time or a full-fledged AI-integrated analytics tool, I am ready to understand your business process and build a system that works perfectly for you. Let's discuss how we can optimize your workflow today!

Businesses don't struggle because they lack data, they struggle because they don't know what their data is telling them. I help startups, growing businesses, and enterprise teams transform raw data into decisions that increase revenue, improve operational efficiency, and accelerate business growth. Over the past 7+ years, I've delivered analytics solutions across SaaS, E-commerce, FinTech, OTT, Mobility, Healthcare, and Marketing, working with organizations ranging from startups to large enterprises. Here's how I've helped businesses ✔ Increased marketing reporting efficiency by 70% through automated BI dashboards & reports. ✔ Built predictive analytics models that contributed to 15% revenue growth. ✔ Developed end-to-end reporting ecosystems using SQL, Python, BigQuery, APIs, and cloud platforms. ✔ Built executive dashboards that enable founders and leadership teams to make faster, data-driven decisions. ✔ Automated repetitive reporting workflows, saving hundreds of manual hours annually. Services I Offer ** Business Intelligence & Dashboards • Looker Studio • Power BI • Tableau • Executive KPI Dashboards • Operational Reporting • Financial Reporting • Interactive Business Dashboards ** Data Analytics • SQL (Advanced) • Python (Pandas, NumPy) • Customer Analytics • Product Analytics • Marketing Analytics • Funnel Analysis • Cohort Analysis • Customer Segmentation • A/B Testing • Revenue Analytics ** Data Engineering • BigQuery • PostgreSQL • MySQL • Amazon Redshift • Amazon Athena • API Integrations • ETL Pipelines • Data Warehousing ** AI & Automation • AI-powered Reporting • Claude AI • OpenAI • Workflow Automation • Python Automation • Automated Data Pipelines Industries I've Worked With • SaaS • E-commerce • D2C Brands • FinTech • Healthcare • Education • OTT Platforms • Mobility • Digital Marketing Agencies • Consulting Firms Why Clients Hire Me I don't just create dashboards. I help answer questions like: • Why are sales declining? • Which marketing channels actually generate profit? • Where are customers dropping off? • Which KPIs should leadership track? • How can reporting become fully automated? • How can AI reduce manual work? My focus is always on delivering business outcomes—not just charts and reports. Technologies SQL • Python • BigQuery • Looker Studio • LookML • Power BI • Tableau • Google Analytics 4 • Google Cloud Platform • Amazon Redshift • Amazon Athena • PostgreSQL • MySQL • Excel • Google Sheets • APIs • Docker • OpenAI • Claude If you're looking for someone who can combine technical expertise with business thinking—and communicate insights clearly to both technical and non-technical stakeholders—I'd be happy to discuss your project. Let's build analytics that drive decisions, not just dashboards.

Hi, I’m a Top Rated Python Developer with over 15 years of experience building scalable, efficient, and AI-driven solutions for global clients. I specialize in automation, machine learning, and IoT, delivering clean, production-ready code that solves real business problems. I’ve completed 45+ Upwork projects and served over 100 global clients, helping them: Build robust APIs and microservices Automate complex workflows and data pipelines Integrate AI/ML models into real-world applications Develop scalable IoT systems and smart dashboards My Expertise: AI & ML: Scikit-learn, PyTorch, TensorFlow, NLP, Deep Learning, Predictive Modeling Web & API Development: Flask, Django, FastAPI, REST, GraphQL Automation & Scraping: Selenium, Scrapy, BeautifulSoup, Puppeteer DevOps & Deployment: Docker, CI/CD, AWS, DigitalOcean, Serverless IoT & Edge Computing: MQTT, Industrial IoT, Smart Systems, Kafka Bots & Custom Tools: Telegram, Discord Bots, Zapier, Gradio Interfaces Data Handling: Pandas, NumPy, PostgreSQL, MongoDB, Redis Why Choose Me? Over 15 years of experience in Python & backend systems Excellent communication — quick responses & clear updates Committed to high-quality, maintainable code Collaborative approach focused on solving your business challenges Proactive, adaptable, and always learning Let’s discuss how I can bring your vision to life with intelligent code and reliable systems. Tools & Technologies I Use: Python, Flask, Django, FastAPI, TensorFlow, PyTorch, Scikit-learn, Selenium, NumPy, Pandas, REST APIs, GraphQL, Docker, Celery, Redis, PostgreSQL, MongoDB, AWS, GCP, DigitalOcean, Zapier, Kafka, MQTT, Gradio, Streamlit, OpenCV, HuggingFace, OpenAI, Git, CI/CD, Prometheus, Grafana.

𝐈 𝐛𝐮𝐢𝐥𝐝 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐀𝐈 𝐭𝐡𝐚𝐭 𝐬𝐡𝐢𝐩𝐬. Founder-engineer vibes, sleeves rolled up, results on the board. I turn messy real-world video into stable, low-latency systems your team can trust, and your CFO can love. 𝐍𝐨𝐭𝐜𝐡𝐚 𝐀𝐯𝐞𝐫𝐚𝐠𝐞 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 𝐆𝐮𝐲 😎 I don’t stop at a cool demo. Shipping LootMart (hyper-local marketplace) taught me the full stack around models: clean APIs, rock-solid data contracts, observability, security, and predictable costs. That’s why my CV/ML services behave like products, not science projects. 𝐖𝐡𝐚𝐭 𝐈 𝐀𝐜𝐭𝐮𝐚𝐥𝐥𝐲 𝐃𝐨 - Computer Vision & Video Analytics (2D/3D): detection (YOLO/DETR), multi-object tracking (ByteTrack/DeepSORT), segmentation (U-Net), OCR/document AI, pose/re-ID, visual search & face/product matching (Siamese + Triplet Loss), point clouds & geometry. - High-Throughput Inference: NVIDIA Triton (dynamic batching, concurrent models, HTTP/gRPC), TensorRT (FP16), ONNX Runtime; autoscaling containers with health checks and graceful rollouts. - Robust Ingestion: multi-RTSP pipelines with back-pressure control using OpenCV, FFmpeg, PyAV/decord so frames don’t mysteriously vanish under load. - MLOps & Services: FastAPI/Flask gateways, worker queues, CI/CD, Docker + Nginx; W&B for experiments; versioned datasets; reproducible training. - Data & Integrations: Postgres (schema design, RLS, SQL/PLpgSQL), Redis, vector DBs (Milvus/Qdrant), webhook-driven architectures, n8n workflows for ETL/alerts, and MCP (Model Context Protocol) to wire AI tools into your internal systems. - Selective Full-Stack Glue (when it helps): Next.js app layers, secure webhooks, auth, real-time updates, and crisp dashboards so stakeholders can see impact. 𝐏𝐫𝐨𝐨𝐟 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐮𝐝𝐝𝐢𝐧𝐠 (𝐑𝐞𝐜𝐞𝐧𝐭 𝐖𝐢𝐧𝐬) 1. Triton-backed real-time CCTV analytics across multiple cameras on commodity GPUs (dynamic batching = buttery latency). 2. Visual matching pipelines (Siamese/Triplet) for search/dedupe with rigorous evals and W&B tracking. 3. Heavy research models → ONNX/TensorRT → low-latency services that actually survive production traffic. 4. Production plumbing that lasts: Postgres-first data contracts, webhook fan-out, n8n automations... no brittle glue. 𝐇𝐨𝐰 𝐖𝐞’𝐥𝐥 𝐖𝐨𝐫𝐤 (𝐑𝐎𝐈 𝐅𝐢𝐫𝐬𝐭, 𝐀𝐥𝐰𝐚𝐲𝐬) 1. 30-min discovery → lock in the KPI (latency, accuracy, throughput, cost). 2. Roadmap & estimate → phases, risks, acceptance tests. 3. Build & validate → baselines first, then iterate; measurable deltas each milestone. 4. Handoff & scale → docs, runbooks, and knowledge transfer so your team owns it. 𝐂𝐨𝐫𝐞 𝐒𝐭𝐚𝐜𝐤 Python • PyTorch • TensorRT • ONNX Runtime • NVIDIA Triton • OpenCV • Kornia • FFmpeg • PyAV/decord • Postgres • Redis • Milvus/Qdrant • FastAPI/Flask • Next.js • Docker • Nginx • Weights & Biases • Webhooks • n8n • MCP 𝐀𝐯𝐚𝐢𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 Consulting/part-time (fractional) engagements: architecture reviews, performance tuning, prototypes, or owning a CV/ML workstream. Top-rated on Upwork. Minimum $100/hr. If you want production-ready computer vision, real-time video, reliable pipelines, and clear ROI, 𝐥𝐞𝐭’𝐬 𝐭𝐚𝐥𝐤. I’ll map your goal to a pragmatic plan and ship results you can measure.

🔒 Risk-Free Guarantee Risk-free trial: If you’re not satisfied with the quality of leads, I’ll refund your payment. ❌ The Problem Many bulk lead lists are outdated, inaccurate, or filled with expired contacts. This wastes your time, money, and effort, leaving you chasing dead ends instead of real opportunities. ✅ The Solution I provide fresh, verified leads that are recently published and cross-checked directly with county websites. Each lead undergoes premium phone number verification, ensuring you connect with the right people and maximize your chances of closing deals. 💡 Why Choose Me Verified from official county sources Premium contact search for accuracy Fresh, up-to-date data — no expired leads Asif Hussain