👋 Hey, I am Harsh Vardhan Mishra, a senior AI and Machine Learning expert with over 10 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

🏆 𝗨𝗽𝘄𝗼𝗿𝗸 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗣𝗹𝘂𝘀 𝗧𝗮𝗹𝗲𝗻𝘁 | Senior Full-Stack AI & Data Engineer ✅ A 100% refund if I set the wrong expectation and can’t deliver. No questions asked. ⸻ 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗦𝘂𝗺𝗺𝗮𝗿𝘆 I am an AI Lead and Senior Full-Stack Engineer with over 5 years of experience architecting, scaling, and deploying production-grade AI systems. I specialize in taking complex machine learning models out of testing environments and integrating them securely into active business operations. Whether you need a heavy-duty backend data pipeline, an autonomous multi-agent network, or a polished Next.js frontend to allow users to interact with your AI, I build deterministic, end-to-end systems that scale. ⸻ ⭐ 𝗪𝗵𝗮𝘁 𝗠𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝘆: "He doesn’t just build models—he solves problems with clarity, speed, and real impact." "Ahmed understands data like a second language—every engagement delivers actionable insight." ⸻ 𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲? 🔹 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻: I don't just deliver a disconnected Python script. I build the robust serverless backends (FastAPI) and the responsive frontends (React/Next.js) required to deploy a complete SaaS product. 🔹 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗚𝗿𝗮𝗱𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: I specialize in zero-leakage, highly secure ML and RAG architectures trusted by top-tier global consulting firms and national government bodies. 🔹 𝗗𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗶𝘀𝘁𝗶𝗰 𝗔𝗜 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀: I enforce strict data schemas to ensure LLMs output exact, usable data (JSON) rather than hallucinated responses. 🔹 𝗧𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝘁 & 𝗙𝗮𝘀𝘁 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆: As an independent technical lead, I offer crystal-clear communication, direct feedback loops, and strict adherence to deadlines. ⸻ 𝗖𝗼𝗿𝗲 𝗔𝗿𝗲𝗮𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝟭. 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗔𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 • 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React (4+ years), Next.js, TypeScript, Tailwind CSS. • 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Seamlessly connecting complex Python/FastAPI AI backends to modern web interfaces. • 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: PostgreSQL, Vector Databases (Pinecone, Qdrant), Graph Databases. 𝟮. 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 • 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: Building autonomous, task-driven AI networks with LangGraph, LangChain, and CrewAI. • 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻: Advanced custom deployments using n8n, Apify, and Webhooks for high-volume data ingestion. 𝟯. 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗡𝗟𝗣 • 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗠𝗟: PyTorch, XGBoost, Random Forest, Transformers (BERT, RoBERTa, GPT). • 𝗡𝗟𝗣 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Enterprise RAG, Text Classification, Named Entity Recognition (NER), Sentiment Analysis. • 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲: Statistical analysis, data wrangling (pandas, NumPy), and rigorous A/B testing. 𝟰. 𝗠𝗼𝗱𝗲𝗹 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 & 𝗠𝗟𝗢𝗽𝘀 • 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Microsoft Azure, AWS, Google Cloud. • 𝗗𝗲𝘃𝗢𝗽𝘀: Dockerized environments, CI/CD pipelines, robust job retries. • 𝗔𝗣𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: High-performance REST APIs with FastAPI. ⸻ 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 • 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜: Designed and deployed zero-leakage RAG pipelines and custom AI deployments for multi-billion-dollar organizations and major national government sectors. • 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝘀: Architected stateful backend networks for enterprise AI platforms where autonomous agents securely query databases and reason through complex constraints. • 𝗛𝗶𝗴𝗵-𝗩𝗼𝗹𝘂𝗺𝗲 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻: Engineered heavy-duty LLM data pipelines for high-volume SaaS applications that force the extraction of 38+ precise data points from unstructured text with zero hallucinations. ⸻ 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗜 𝗦𝗲𝗿𝘃𝗲 Finance & Legal | Healthcare & Life Sciences | E-commerce & Marketplaces | Real Estate & Property Management | EdTech | B2B SaaS Startups ⸻ 𝗟𝗲𝘁’𝘀 𝗕𝘂𝗶𝗹𝗱 𝗬𝗼𝘂𝗿 𝗡𝗲𝘅𝘁 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 If you are looking for an engineer who thinks in system architecture rather than just running prompts, let's connect. 📩 𝗦𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝘄𝗶𝘁𝗵 𝗮 𝗯𝗿𝗶𝗲𝗳 𝗼𝘃𝗲𝗿𝘃𝗶𝗲𝘄 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗯𝗼𝘁𝘁𝗹𝗲𝗻𝗲𝗰𝗸, 𝗮𝗻𝗱 𝗜 𝘄𝗶𝗹𝗹 𝘄𝗮𝗹𝗸 𝘆𝗼𝘂 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 𝗵𝗼𝘄 𝗜 𝘄𝗼𝘂𝗹𝗱 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 𝘁𝗵𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻.

I build production-ready AI/ML systems where accuracy, scale, and reliability matter. With a Master’s in Data Science and 20+ AI/ML projects, I specialize in Python, ML models, Computer Vision, RAG/LLM apps, AI Agents, and data extraction pipelines 𝗥𝗲𝗰𝗲𝗻𝘁 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗔𝗜/𝗠𝗟 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗜’𝘃𝗲 𝗯𝘂𝗶𝗹𝘁: • Facial biometrics and liveness detection product with anti-spoof/deepfake checks, iBeta Level 2 ISO/IEC 30107-3 compliance, 0% APCER in testing, and sub-second identity checks. • Global KYC, KYB, AML, and identity verification platform supporting 2,000+ clients, 240+ countries/territories, 10,000+ document types, and 150+ languages. • European voice/chat agentic AI infrastructure platform for banking and consumer use cases using LangGraph and RAG to help teams ship enterprise-grade AI agents from idea to production in 1–2 months. • Patient-centered healthcare platform for appointments, medical records, Rx refills, provider chat, EHR integration and 24/7 care access. • Regulated fintech investment platform using FastAPI, Qdrant and live market APIs across 12,000+ U.S. stocks/ETFs, fractional investing, and algorithm-based portfolio recommendations. • PDF and blueprint extraction pipeline using YOLO, Gemini Vision, OCR, and two tier model routing to turn construcion drawings into structured takeoff datasets. • Multimodal visual search backend for product discovery using Typesense CLIP embeddings, Gemini object detection, crop-level vector search, request budgets, and fallback handling. 𝗪𝗵𝗮𝘁 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝘄𝗶𝘁𝗵: • ML model development, classification, forecasting, predictive analytics, recommendation systems, regression, anomaly detection and optimization. • Computer Vision, object detection, OCR, image/document understanding, liveness detection, segmentation, tracking, sports/video analytics and multimodal AI. • AI Agents, tool calling, API-connected workflows, memory, context, workflow automation, human in the loop review and multi-step reasoning. • RAG assistants, semantic search, hybrid search, private document Q&A, embeddings, vector search, and internal knowledge-base AI. • Data extraction from PDFs, forms, drawings, invoices, receipts, screenshots, scanned files, tables, IDs, bounding-box extraction and business records 𝗖𝗼𝗿𝗲 𝘀𝘁𝗮𝗰𝗸: • 𝗔𝗜/𝗠𝗟 & 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲: Python, NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, Hugging Face, ML model development, model evaluation, classification, regression, forecasting, predictive analytics, recommendation systems, and optimization • 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻: OpenCV, OCR, object detection, image classification, segmentation, facial biometrics, liveness detection, image recognition, visual search, and document/image understanding • 𝗟𝗟𝗠, 𝗥𝗔𝗚 & 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀: OpenAI, Claude, Gemini, Llama, LangChain, LangGraph, LlamaIndex, embeddings, vector search, RAG pipelines, prompt engineering, tool use, memory, context, and multi-step agent workflows • 𝗗𝗮𝘁𝗮 𝗘𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻 & 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴: PDF parsing, document AI, OCR pipelines, form extraction, invoice/receipt extraction, table extraction, ID/document verification, structured JSON extraction, and data cleaning • 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 & 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: FastAPI, REST APIs, PostgreSQL, MongoDB, Redis, API integrations, background jobs, authentication flows, and production AI integrations • 𝗩𝗲𝗰𝘁𝗼𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 & 𝗦𝗲𝗮𝗿𝗰𝗵: Pinecone, Qdrant, FAISS, ChromaDB, semantic search, hybrid search, and knowledge-base retrieval My strongest fit is working with real data, messy inputs, broken pipelines, or clear targets around accuracy, latency, cost, compliance, or launch readiness. If you’re building an AI/ML model, Computer Vision system, RAG assistant, data extraction pipeline, or an AI Agent, send me a message and I’ll map the right approach before writing code

Passionate about software architecture, I excel in assembling components for optimized solutions. With experience in Python, Node.js, ETL pipelines, backend APIs, 3rd Party Integration, DevOps, and Agile project management, I create efficient and reliable systems. I thrive on solving complex problems, writing elegant, efficient code, and adhering to best practices. Specializing in React, Vue, and React Native, I bridge aesthetics and functionality to deliver captivating digital experiences. 𝐖𝐞𝐛 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: ⭐️ Django/Flask/FastAPI: Expertise in Python web frameworks for robust backend development. ⭐️ React/Vue/Next.js/Nuxt.js: I create dynamic and interactive user interfaces with JavaScript frameworks. ⭐️ Node: Proficient in building server-side applications with Node.js. 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬 𝐚𝐧𝐝 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬: ⭐️ Django REST Framework/Celery Beat/Celery/Redis: I build scalable and efficient backend solutions using Django and Celery. ⭐️ Smart Contracts: I have experience in blockchain development with smart contracts. 𝐉𝐚𝐯𝐚𝐒𝐜𝐫𝐢𝐩𝐭 𝐚𝐧𝐝 𝐖𝐞𝐛 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: ⭐️ ES6/Vue/React/Next.js/Nuxt.js: Proficient in modern JavaScript and popular web technologies for front-end development. 𝐌𝐨𝐛𝐢𝐥𝐞 𝐀𝐩𝐩 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: ⭐️ React Native: I create cross-platform mobile applications using React Native. 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: ⭐️ Kubernetes: I'm well-versed in setting up and managing Kubernetes clusters, ensuring efficient container orchestration. ⭐️ Docker/DockerCompose: Proficient in Docker and Docker Compose for containerization and application deployment. ⭐️ Kubernetes Managed Services: Experienced in leveraging GKE, EKS, and AKS for scalable and reliable container management. ⭐️ Compute Engine: I've worked extensively with Google's Compute Engine for cloud computing resources. ⭐️ Cloud Run: Skillful in using Cloud Run to deploy containerized applications in a serverless environment. 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐢𝐧𝐠: ⭐️ Snowflake/BigQuery: I excel in data warehousing with Snowflake and BigQuery for scalable analytics. ⭐️ Postgres/Cloud SQL: Proficient in both PostgreSQL and Google Cloud SQL for robust database solutions. ⭐️ Dataflow/Cloud Storage: Skilled in data processing with Google Dataflow and Cloud Storage. ⭐️ ETL Pipelines/Data Pipeline: I can design, implement, and maintain ETL pipelines and do transformation through Pandas and NumPy. ⭐️ Redash/Metabase: Proficient in setting up interactive dashboards for data visualization. ⭐️ Compute Engine/Cloud Dataflow: Leveraging Compute Engine and Cloud Dataflow for powerful data processing. 𝐃𝐞𝐯𝐎𝐩𝐬 𝐚𝐧𝐝 𝐂𝐈/𝐂𝐃: ⭐️ GitOps/CI/CD Pipelines: I adopt best practices in DevOps, using GitOps and CI/CD pipelines to ensure reliable, automated deployments. ⭐️ Cloud Monitoring/Rancher/FluxCD/ArgoCD: Proficient in monitoring, Rancher orchestration, ArgoCD, and FluxCD for GitOps. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐒𝐜𝐫𝐢𝐩𝐭𝐢𝐧𝐠: ⭐️ TDD, BDD ⭐️ Python Scripting, Bash Scripting 𝐒𝐞𝐫𝐯𝐞𝐫𝐥𝐞𝐬𝐬 𝐚𝐧𝐝 𝐂𝐥𝐨𝐮𝐝 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: ⭐️ App Engine/Firebase: Experienced in Google App Engine and Firebase for serverless application hosting. ⭐️ Cloud Storage: Proficient in leveraging Google Cloud Storage for scalable file storage. ⭐️ AWS Lambda, Google Cloud Functions 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲: ⭐️ Grafana/Prometheus/Datadog: I ensure systems are well-monitored and provide insights through Grafana, Prometheus, and Datadog. ⭐️ Loki , ELK , and SPLUNK. 𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐚𝐧𝐝 𝐐𝐮𝐚𝐥𝐢𝐭𝐲: ⭐️ Data Studio/Data Fusion/Data Flow: Proficient in data management and quality with Google Data Studio, ⭐️ Data Fusion, and Data Flow. ⭐️ Collibra/Alation: Skilled in data governance and cataloging with Collibra and Alation. 𝐈𝐦𝐚𝐠𝐞 𝐚𝐧𝐝 𝐕𝐢𝐝𝐞𝐨 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: ⭐️ Verification via Camera/ID Image Processing: Skilled in image and video processing for identity verification. Let's connect and discuss the requirements you have at hand.

I build AI systems that work in production - not just in demos. With 10+ years in AI/ML and enterprise software, 3000+ hours on Upwork, 700+ solutions delivered, and 400+ clients across the globe, I've earned a simple reputation: if you need intelligent automation, a custom LLM application, or a scalable ML pipeline, I'll build it, ship it, and make sure it holds up. I work across the full AI stack: from raw data ingestion and model training to fine-tuning LLMs, deploying RAG architectures, and integrating everything into production-grade systems. Whether the project lives on AWS (Bedrock, SageMaker, Textract, Comprehend), Google Cloud (Vertex AI), or runs locally (Ollama, LLaMA, DeepSeek), I build for the environment that fits your business, not the one that's easiest for me. ➛ 𝗪𝗵𝗮𝘁 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗠𝗟𝗢𝗽𝘀 & 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗠𝗟 End-to-end ML pipelines with MLflow, SageMaker, and Azure ML. Model training, fine-tuning, versioning, and monitoring. TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost. Deep learning, neural networks, and Diffusion Models. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 & 𝗟𝗟𝗠 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 Custom GPTs, AI agents, and RAG pipelines using OpenAI, Claude, LLaMA, Mistral, and DeepSeek. LLM fine-tuning with LoRA/QLoRA. Prompt engineering (zero-shot, few-shot, chain-of-thought). Multi-agent systems with LangChain and LangGraph. Deployed on AWS Bedrock, Vertex AI, or self-hosted via Ollama/Supabase. 𝗗𝗮𝘁𝗮 & 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 Data mining, web scraping, and pipeline engineering with Pandas, NumPy, and Python. Business intelligence and analytics with Amazon QuickSight. NLP with Amazon Comprehend, BERT, SpaCy, Transformers - text classification, sentiment analysis, entity recognition, content generation. 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 & 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 OCR and document processing with Amazon Textract, Azure Computer Vision, OpenCV, and Tesseract. Image recognition, face detection, and vision-based automation. Stable Diffusion and generative image workflows. 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗜 & 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 AI assistants and knowledge-base chatbots. Context-aware conversation systems integrated via API. GoHighLevel automation and CRM-connected AI workflows. Amazon Translate for multilingual deployments. 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗰𝗼𝗺𝗲 𝗯𝗮𝗰𝗸 Most AI projects fail at the handoff from prototype to production. I've spent a decade closing that gap, writing systems that are maintainable, monitored, and built to scale beyond the first deployment. - Production-first architecture from day one - Strong documentation and clean, handoff-ready code - Experience across AWS, Azure, GCP, and open-source stacks - Clear communication throughout, no black boxes - On-time delivery with post-launch accountability 𝗘𝘃𝗲𝗿𝘆 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗶𝗻𝗰𝗹𝘂𝗱𝗲𝘀: - 1 month post-delivery support - 1 month warranty on all deliverables - Dedicated technical consultation If you're building an AI product, automating a complex workflow, or turning your data into something that actually makes decisions, let's talk. I'll tell you in the first conversation whether it's feasible, how long it takes, and what it'll cost.

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

25+ years building enterprise software where Python AI meets Java scale. 100+ full-stack systems delivered, 10M+ users supported, and real-time platforms processing millions of events - from AI/ML and automation to Spring Boot, APIs, cloud & modern web apps. 👋 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.

→ 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐅𝐫𝐞𝐞𝐥𝐚𝐧𝐜𝐞𝐫 | 𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐜𝐨𝐫𝐞 → 𝐏𝐡𝐃 𝐢𝐧 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 | 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 & 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 → 𝟏𝟓+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐏𝐫𝐨𝐯𝐞𝐧 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝐀𝐈, 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 → 𝐓𝐫𝐮𝐬𝐭𝐞𝐝 𝐭𝐨 𝐃𝐞𝐥𝐢𝐯𝐞𝐫 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐑𝐞𝐚𝐝𝐲 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝐆𝐥𝐨𝐛𝐚𝐥 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 → 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐞𝐝 𝐢𝐧 𝐂𝐕𝐏𝐑, 𝐌𝐈𝐂𝐂𝐀𝐈, 𝐖𝐀𝐂𝐕, 𝐓𝐏𝐀𝐌𝐈, 𝐈𝐉𝐂𝐕 & 𝐈𝐂𝐑𝐀 I am a Senior AI/ML and US-trained Computer Vision Engineer with over 15 years of hands-on experience building, training, and deploying production-ready AI solutions. I specialize in Computer Vision, Deep Learning, Machine Learning, Medical Imaging, Healthcare AI, and Image Processing, delivering scalable and real-time AI systems using Python, modern deep learning frameworks, and optimized deployment pipelines for real-world applications. I hold a PhD in Computer Vision and have worked across industry and research on AI projects involving object detection, image segmentation, video analytics, OCR, medical imaging, surveillance systems, healthcare diagnostics, and intelligent automation. My focus is on end-to-end AI development, from data preprocessing and model training to deployment, API integration, and production-ready, scalable AI systems. I have also published numerous peer-reviewed research articles in leading computer vision and AI venues including 𝗖𝗩𝗣𝗥, 𝗠𝗜𝗔, 𝗠𝗜𝗖𝗖𝗔𝗜, 𝗪𝗔𝗖𝗩, 𝗜𝗘𝗘𝗘 𝗧𝗣𝗔𝗠𝗜, 𝗜𝗝𝗖𝗩, and 𝗜𝗖𝗥𝗔, ensuring that the solutions I deliver are research-validated and industry-ready. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗮𝗻𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: • Computer Vision, Machine Learning & Deep Learning • YOLO-based Object Detection & Tracking • Real-time Video Analytics & Inference Systems • Medical Imaging AI (CT, MRI, X-ray, Ultrasound) • Healthcare AI & Radiology Diagnostics • OCR, Document AI & Intelligent Data Extraction • AI Automation & Workflow Systems • Drone Analytics, Surveillance & Action Recognition • Image Segmentation, Classification & Feature Extraction • Edge AI & Optimized Model Deployment • Scalable AI Systems & Production ML Pipelines • AI Agents & Intelligent Systems 𝗠𝗼𝗱𝗲𝗹𝘀, 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗮𝗻𝗱 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: • YOLO (YOLOv5 – YOLOv10) • Mask R-CNN, U-Net, DeepLabV3, EfficientNet • Custom CNN, GAN, Multi-Modal and Transformer-based vision models • Classical and deep image processing for Computer Vision and Medical Imaging pipelines 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀 𝗮𝗻𝗱 𝗧𝗼𝗼𝗹𝘀: 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴: Python, MATLAB, C++ 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: PyTorch, TensorFlow, Keras 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 / 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴: OpenCV, SimpleITK, ITK, Image Processing Pipelines 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Scikit-learn, Pandas, NumPy 𝗢𝗖𝗥: Tesseract, PaddleOCR, EasyOCR 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Flask, FastAPI, Docker, REST APIs, Model Serving 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻: Inference Optimization, Model Testing, Scalable AI Pipelines 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 • Principal Machine Learning Engineer in multi-vehicle tracking & real-time Computer Vision systems • Senior Computer Vision Scientist in surveillance, traffic monitoring, healthcare AI & medical imaging solutions • Contributor to projects funded by IARPA, Facebook, Google, HEC, NIJ, Xerox (USA) & US DTS My work in medical imaging AI has been recognized through Google and Facebook Research Awards, while contributions to sports video analytics, CCTV analytics, and healthcare AI have been acknowledged by HEC and top-tier venues such as CVPR. 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲 • Strong academia & industry expertise in AI, ML, Computer Vision & Healthcare AI • Experience in medical image processing, blood cancer detection & tumor segmentation • Clean, efficient, and production-ready code • Proven deployment experience in real-world and healthcare systems • Clear communication, dependable delivery, and scalable AI solutions 𝗪𝗵𝗮𝘁 𝗜 𝗖𝗮𝗻 𝗗𝗼 𝗙𝗼𝗿 𝗬𝗼𝘂 • Design custom ML models aligned with business and clinical goals • Deliver accurate, scalable, and reliable AI solutions • Simplify Computer Vision, Medical Imaging, and healthcare workflows • Support deployment and production integration 𝗜𝗳 𝘆𝗼𝘂 𝗮𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗮𝗻 𝗔𝗜/𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿, 𝗼𝗿 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗜𝗺𝗮𝗴𝗶𝗻𝗴 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁 to build, optimize, and deploy custom AI solutions, I’m available to discuss your requirements and deliver reliable results.

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!

⭐ 100% Job Success | Top Rated | Certified in Machine Learning (Stanford), Data Analytics (Google) & Power BI (Microsoft) Most AI "prototypes" never make it past the demo — I build the ones that ship. RAG pipelines and LLM agents running in production, not just notebooks. A few examples of what that's looked like recently: AI Legal Assistant (RAG) — an LLM-powered virtual assistant for legal research; the client said its legal insights exceeded expectations. Monetary Policy Analysis (LLM + Speech Data) — extracted policy signals from central bank speech transcripts using LLMs. HR Analytics Dashboard (Power BI) — built exec dashboards a client credited for surfacing insights their own team had missed. Automation Pipeline (Web Scraping) — built a scraper reliable enough that the client said I'd be their go-to for automation projects going forward. I'm a Senior Data Scientist with 5+ years working hands-on with data, automation, and AI — currently leading AI/ML infrastructure work full-time, and taking on select freelance projects here. 🤖 AI, LLM & NLP Engineering RAG pipelines combining LLMs (GPT-4 and others) with live data sources · NLP — sentiment analysis, entity recognition, summarization, intent detection (spaCy, Hugging Face, OpenAI) · Computer vision — object detection, OCR, image classification (TensorFlow, Keras, OpenCV). Every model is evaluated, tuned, and documented — explainable and production-ready, not a demo. 📊 Data Analysis & Visualization Pandas/NumPy for cleaning and analyzing large datasets; Power BI, Excel, and Matplotlib/Seaborn for dashboards decision-makers actually use — forecasting revenue, flagging churn, optimizing pricing. 🕸️ Web Scraping & Data Pipelines Python scrapers (Selenium, Scrapy, BeautifulSoup) that handle CAPTCHAs, dynamic pages, and proxy rotation — delivered as clean CSV/Excel/JSON or piped directly into your API or database. Best fit if you need: A working AI prototype turned into something production-ready Someone who can own a data or automation problem end-to-end Clear communication and documented, maintainable code Let's talk about what you're building. 📩 Message me anytime.